Dr. Eddie Chang: The Science of Learning & Speaking Languages | Huberman Lab Podcast #95

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- Welcome to the Huberman Lab podcast

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where we discuss science and science-based tools

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for everyday life.

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[upbeat music]

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I'm Andrew Huberman,

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and I'm a professor of neurobiology and ophthalmology

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at Stanford School of Medicine.

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Today, my guest is Dr. Eddie Chang.

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Dr. Eddie Chang is the chair of the neurosurgery department

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at the University of California at San Francisco.

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Dr. Chang's clinical group focuses on the treatment

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of movement disorders including epilepsy.

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He is also a world expert

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in the treatment of speech disorders

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and relieving paralysis that prevents speech

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and other forms of movement and communication.

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Indeed, his laboratory is credited with discovering ways

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to allow people who have fully locked-in syndrome,

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that is, who cannot speak or move,

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to communicate through computers and AI devices

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in order to be able to speak to others in their world

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and understand what others are saying to them.

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It is a truly remarkable achievement that we discuss today,

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in addition to his discoveries about critical periods,

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which are periods of time during one's life

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when one can learn things, in particular, languages,

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with great ease as opposed to later in life,

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and we talk about the basis of things

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like bilingualism and trilingualism.

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We talk about how the brain controls movement

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of the very muscles that allow for speech and language

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and how those can be modified over time.

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We also talk about stutter,

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and we talk about a number of aspects of speech and language

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that give insight into not just how we create

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this incredible thing called speech

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or how we understand speech and language,

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but how the brain works more generally.

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Dr. Chang is also one of the world leaders

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in bioengineering,

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that is, the creation of devices that allow the brain

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to function at supraphysiological levels

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and that can allow people

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with various syndromes and disorders

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to overcome their deficits.

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So if you are somebody who is interested

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in how the brain works normally,

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how it breaks down and how it can be repaired,

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and if you are interested in speech and language,

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reading and comprehension of information of any kind,

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today's episode ought to include some information

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of deep interest to you.

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Dr. Chang is indeed the top of his field

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in terms of understanding these issues

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of how the brain encodes speech and language

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and creates speech and language

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and, as I mentioned, movement disorders and epilepsy.

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We even talk about things such as the ketogenic diet,

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the future of companies like Neuralink,

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which are interested in bioengineering

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and augmenting the human brain, and much more.

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One thing that I would like to note is that in addition

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to being a world-class neuroscience researcher

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and world-class clinician, neurosurgeon,

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and chair of neurosurgery,

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Dr. Eddie Chang has also been a close, personal friend

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of mine since we were nine years old.

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We attended elementary school together,

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and we actually had a science club

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when we were nine years old

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focused on a very particular topic.

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You'll have to listen in to today's episode

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to discover what that topic was

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and what membership to that club required.

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That aside, Dr. Chang is an absolute phenom

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with respect to his scientific prowess,

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that is, both his research and his clinical abilities,

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and he's one of these rare individuals

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that, whenever he opens his mouth, we learn.

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Before we begin, I'd like to emphasize that this podcast

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is separate from my teaching and research roles at Stanford.

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It is, however, part of my desire and effort

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to bring zero-cost-to-consumer information

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about science and science-related tools

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to the general public.

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In keeping with that theme,

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I'd like to thank the sponsors of today's podcast.

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I started using Levels about one year ago.

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The Levels monitor allowed me to see how different foods

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And now for my discussion with Dr. Eddie Chang.

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Eddie, welcome.

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- Hi. Hi, Andrew.

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- Great to be here with you.

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This has been a long time coming.

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Just to come clean,

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we've known each other since we were nine years old.

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- Yeah.

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- But then there was a long gap

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in which we didn't talk to one another.

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I heard things about you,

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and, presumably, you heard a thing or two about me,

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for better or for worse. [Eddie laughs]

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And then we reconnected years later

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when I was a PhD student and you were a medical student.

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We literally ran into each other

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in the halls of the University of California San Francisco

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where you're now the chair of neurosurgery,

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so it all comes full circle.

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When you were at UCSF, you were working with Mike Merzenich,

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and I know that name

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might not be familiar to a lot of people,

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but he's sort of synonymous with neuroplasticity,

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the ability of the brain and nervous system

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to change in response to experience.

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So for our listeners,

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I would just love for you to give a brief overview

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of what you were doing at that time

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because I find that work so fascinating,

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and it really points to some of the things that can promote

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and maybe hinder our brain's ability to change.

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- Oh, wow. That's fantastic.

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So we did bump into each other serendipitously back then,

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and, at the time, I was a medical student at UCSF

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studying with Mike Merzenich.

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In particular, I was studying how the brain organizes

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when you have patterns of sound.

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And in particular, we were studying the brain of rodents

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and trying to understand how different sound patterns

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organize the frequency representation

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from low to middle to high frequency maps

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in the brains of baby rodents.

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And one of the things that I was very interested in

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was trying to understand

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how the patterns of the natural environment,

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let's say the vocalizations of the environment

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that the rat pups were raised in,

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or just the natural sounds that they hear,

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how that shapes the structure of the brain.

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And one of the things we did was to try an experiment

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where we raised some of these rat pups in white noise,

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continuous white noise that was essentially masking

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all of those environmental sounds.

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- And what was the consequence of animals being raised

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in white noise environment?

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- Well, one of the things that we didn't expect

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but we found, which was quite striking,

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is that there's this early period in brain development

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where we're very susceptible

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to the patterns that we hear or see.

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In neuroscience, we call this a critical period

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or a sensitive period.

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And we have this for our eyes,

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but we also have it for our ears.

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And one of the most striking examples of this

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is that any human can essentially grow up in a culture

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where they hear different speech sounds

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from one language to another,

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and it's like after a couple of years,

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you lose sensitivity to sounds

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that are not part of your native language

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and you have high sensitivity

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for the languages of your native culture.

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And that's pretty extraordinary

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that human brain has that flexibility

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yet, at the same time, has that specialization for language.

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And so we were trying to think about how do we model this,

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for example, in rodents, who obviously don't speak,

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but we're just understanding how sounds

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and environmental sounds

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modulate and organize the auditory cortex.

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And one of the things that we found that was quite striking

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was that if you basically mask environmental sounds

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from these rat pups,

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the critical period,

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this sensitive period where it's open to plasticity,

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it's open to change, it's open to reorganization,

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that window can stay open much, much longer.

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And in one way, it sounds like that's a good thing,

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but on the other hand, it's also a retardation.

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It actually slowed the maturation of the auditory cortex.

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It was ready to close when these rat pups were really young,

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but by raising them in white noise,

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we found out that you could keep it open

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for months beyond the time period that it normally closes.

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And so I think one of the things it taught me

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was that it's not just about the genetic programming

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that specifies some of this sensitive period,

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but it's also a little bit about the nature

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of the sounds that we hear

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that help keep that window for the critical period

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open and closed.

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- That's fascinating.

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And I know it's difficult to make a direct leap

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from animal research to human research,

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but if we could speculate a little bit,

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I can imagine that some people grow up in homes

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where there's a lot of shouting and a lot of inflection,

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maybe people are very verbose.

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Maybe others grow up in a home

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where it's quieter and more peaceful.

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Some people are going to grow up in cities.

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I just came back from New York City,

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it's like all night long,

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there's honking and sirens and it's just nonstop,

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and then I return here where it's quite quiet at night.

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Can we imagine that the human brain

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is going to be shaped differently

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depending on whether or not one grows up

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in one environment or another?

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And would that impact their tendency

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to speak in a certain way as well as hear in a certain way?

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What do we know about that?

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- Well, I think that, from my perspective,

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it's really clear that those sounds that we are exposed to

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from the very earliest time, even in utero, in the womb,

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where the sound is hearing the mother or father or friends

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while in the womb

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actually will influence how these things organize.

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And so there's no question that the sounds that we hear

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are going to have some influence,

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and those sounds are going to structure

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the way that those neural networks actually lay down

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and will forever influence how you hear sounds,

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and speech and language

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is probably one of the most profound examples of that.

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- I get a lot of questions

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about the use of white noise during sleep.

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In particular, people want to know

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whether or not using a white noise machine

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or a machine or a program

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that makes the sound of waves, for instance,

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if it assists their infant in sleeping,

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is it going to be bad for them

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because it's flooding the auditory system

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with a bunch of essentially white noise

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or disorganized noise?

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Do we have an answer to that question?

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- Not yet.

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I think that what you're asking

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is a really important question

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because parents are using white noise generators

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almost universally now, and for good reasons.

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You know, it is hard to have kids up at night.

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I've got three kids of my own and was very tempted

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to think about how to use some of these tools

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to just soothe them and get them to bed,

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especially when I was, like, so tired and exhausted.

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But I think that there is a cost,

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you know, to think a little bit about.

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You know, we're not exposed

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to continuous white noise naturally.

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There is a value to having really salient, structured sounds

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that are part of our natural environment

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to actually have the brain develop normally.

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So whether or not that has an impact,

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you know, while you're sleeping, it's not clear.

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I don't think that those studies have been done.

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What was really clear was that if you raise these baby rats

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in continuous white noise, not super loud,

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but just enough to mask the environmental sounds

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that that was enough to keep, you know, the auditory cortex,

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the part of the brain that hears,

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in this really delayed state

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which could essentially slow down the development

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and maturation of the brain.

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- And one could probably assume

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that slowing the maturation of areas of the brain

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that are responsible for hearing

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might, I want to underscore,

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might impact one's ability to speak, right?

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Because isn't it the case that if people can't hear,

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they actually have a harder time enunciating

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in a particular way, is that right?

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If I were to not be able to hear my own voice,

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would my speech patterns change?

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- Well, I think part of it

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is that, over time, we develop sensitivity

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to the very specific speech sounds in a given language,

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and the sensitivity improves

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as we hear more and more and more of it.

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And then on the other hand,

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we lose sensitivity to other speech sounds at the same time.

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But as part of that process,

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we also have a selectivity, a gain,

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a specialization even for those sounds,

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even relative to noise,

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noisy backgrounds and things like that.

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I tend to think about it

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like what is the signal-to-noise ratio?

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And so the brain has its own ways

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of trying to increase that signal-to-noise ratio

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in order to make it more clear.

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Part of that is how we hear

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and how it lays down a foundation

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for that signal-to-noise ratio,

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and so you can imagine a child

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that's raised continuously in white noise

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would be really deprived of those kind of sounds

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that are really necessary for it to develop properly.

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So I think with regard to those tools for babies,

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I think we should study it,

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we should try to understand this definitively.

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I think what we saw in rodents

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would tell us that there is potential,

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you know, things that we should be concerned about.

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But, again, it's not really clear,

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if you're just using at night, whether it has those effects.

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- I guess the critical question

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that a number of people are going to be asking

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is did you decide to use a white noise machine or not

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to help keep any of your three children asleep?

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- Well, I think the short answer is no.

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I mean, I obviously did a lot of work thinking

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and work on this and thought about it carefully,

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but there are other kinds of noise,

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or, I wouldn't even call it noise,

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other sounds that you can use

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that can be equally soothing to a baby.

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It's just that white noise has no structure,

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and what it's doing

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is essentially masking out all of the natural sounds.

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And I think the goal

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should really be about how do we replace that

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with other more natural sounds that structure the brain

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in the way that we want to be more healthy.

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- Well, I know that

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after you finished your medical training,

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you went on to, of course, specialize in neurosurgery.

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And last I checked, you spend most of your days

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either running your laboratory or in the clinic

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or running the department,

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and your clinical work and your laboratory work

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involves often removing pieces of the skull of humans

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and going in and either removing things

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or stimulating neurons,

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treating various ailments of different kinds,

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but your main focus these days, of course,

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is the neurobiology of speech and language.

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And so for those that aren't familiar,

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could you please distinguish for us speech versus language

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in terms of whether or not

Time: 1089.6

different brain areas control them?

Time: 1091.64

And I know that there's a lot of interest

Time: 1093.8

in how speech and language and hearing

Time: 1096.23

all relate to one another.

Time: 1098.18

And then we'll talk a bit

Time: 1099.59

about, for instance, emotions

Time: 1102.11

and how facial expressions could play into this,

Time: 1104.51

or hand gestures, et cetera.

Time: 1106.49

But for the uninformed person,

Time: 1109.49

and for me, to be quite direct,

Time: 1113.78

what are the brain areas that control speech and language?

Time: 1118.16

What are they really,

Time: 1119.63

and especially in humans, how are they different?

Time: 1121.73

I mean, we have such sophisticated language

Time: 1124.43

compared to a number of other species.

Time: 1126.44

What does all this landscape look like in there?

Time: 1128.69

- Yeah, well, that's a fascinating question,

Time: 1132.65

and I'm going to just try to connect a couple of the dots here,

Time: 1135.89

which is that in that earlier work during medical school,

Time: 1140.06

I was doing a lot of what we call neurophysiology,

Time: 1142.73

putting electrodes into the auditory cortex

Time: 1144.89

and understanding how the brain responds to sounds,

Time: 1148.43

and that's how we actually mapped out these things

Time: 1150.98

about the sensitivity to sensitive periods.

Time: 1154.25

That experience with Mike Merzenich

Time: 1157.25

and thinking about how plasticity is regulated in the brain

Time: 1160.64

and particular about how sound

Time: 1163.1

is represented by brain activity

Time: 1164.96

was something that, you know, was really formative for me.

Time: 1168.74

And because I was a medical student

Time: 1170.69

and was going back to my medical studies,

Time: 1173.87

it was that in combination

Time: 1175.64

with seeing some awake brain surgeries

Time: 1180.8

that our department is really well known for.

Time: 1183.05

One of my mentors, Mitch Berger,

Time: 1184.61

really pioneered these methods

Time: 1186.35

for taking care of patients with brain tumor

Time: 1188.48

and be able to do these surgeries safely

Time: 1192.23

by keeping patients awake and by mapping out language.

Time: 1195.47

- So they're talking and listening,

Time: 1197.03

and you're essentially in conversation with these patients

Time: 1199.25

while there's a portion of their skull removed,

Time: 1201.53

and you are stimulating

Time: 1202.58

or, in some cases, removing areas of their brain,

Time: 1205.63

is that right?

Time: 1207.08

- That's exactly right, and the only thing off there

Time: 1210.44

is it's not essentially, it is just that.

Time: 1213.11

The only difference between the conversation

Time: 1215.51

that I might have with my patient

Time: 1216.68

who's undergoing awake brain surgery

Time: 1219.14

is that I can't see their face and they can't see my face.

Time: 1223.1

We actually have a sterile drape

Time: 1225.65

that actually separates the operating field,

Time: 1227.45

and they're looking and interacting

Time: 1228.8

with our neuropsychologist,

Time: 1230.42

but I can talk to them and they can hear my voice

Time: 1233.24

and vice versa.

Time: 1234.83

And it's a really, really important way

Time: 1236.6

of how we can protect some of those areas

Time: 1238.853

that are really critical for language,

Time: 1241.4

at the same time, accomplish a mission

Time: 1243.62

of getting the seizures under control

Time: 1245.24

or getting a brain tumor removed.

Time: 1246.95

- And is that because occasionally

Time: 1248.06

you'll encounter a brain area,

Time: 1249.41

maybe you're stimulating

Time: 1250.46

or considering removing that brain area,

Time: 1252.62

and suddenly a patient will start stuttering

Time: 1256.1

or will have a hard time formulating a sentence?

Time: 1258.53

Is that essentially what you're looking for?

Time: 1260.69

You're looking for regions

Time: 1263.27

in which it is okay or not okay to probe?

Time: 1266.51

- Exactly, so the first thing that we do

Time: 1269.33

is that we use a small electrical stimulator

Time: 1271.73

to probe different parts of the areas

Time: 1273.56

that we think might be related and important for language

Time: 1276.89

or talking or even movements of your arm and leg.

Time: 1279.92

That's what we call brain mapping.

Time: 1281.45

And we use a small electrical current

Time: 1284.54

that's delivered through a probe

Time: 1285.95

that we can just put at each spot.

Time: 1288.38

And the areas that we're really interested in

Time: 1289.82

are, of course, the areas that are right around the part

Time: 1292.91

that is pathological, the part that's injured,

Time: 1295.37

or the part that has a brain tumor that we want to remove,

Time: 1298.34

so we can apply that probe

Time: 1299.72

and transiently, meaning temporarily, activate it.

Time: 1304.01

So if you're stimulating the part of the brain

Time: 1306.083

that controls the hand, the hand will move, it will jerk.

Time: 1310.04

Sometimes a fist will be made, something like that.

Time: 1313.43

Other times, while someone is counting

Time: 1317.57

or just saying the days of the week,

Time: 1319.16

you can stimulate in a different area

Time: 1321.56

that stops their speech altogether.

Time: 1324.2

That's what we call speech arrest.

Time: 1326.33

Or if someone is looking at pictures

Time: 1329.3

and they're describing the pictures

Time: 1330.83

and you stimulate in a particular area,

Time: 1332.66

they stop speaking or the words start coming out slurred

Time: 1336.29

or they can't remember the name of the object

Time: 1339.44

that they're seeing in the picture.

Time: 1340.76

These are all things that we're listening really carefully

Time: 1343.61

while we apply that focal stimulation.

Time: 1346.16

That's what we call brain mapping.

Time: 1347.84

- What are some of the more surprising,

Time: 1349.94

or maybe even if you want to offer

Time: 1351.23

one of the more outrageous examples of things

Time: 1353.6

that people have suddenly done or failed to be able to do

Time: 1356.99

as a consequence of this brain mapping?

Time: 1359.33

- Well, I think the thing to me

Time: 1360.89

that has been the most striking

Time: 1363.92

is that, you know, some of these areas you stimulate,

Time: 1366.83

and altogether, you can shut down someone's talking.

Time: 1370.07

So a person says, "I wanted to say it,

Time: 1375.05

but I couldn't get the words out."

Time: 1377.12

And even though I've seen this thousands of times now,

Time: 1381.71

it's still exciting every time that I see it because,

Time: 1389.502

it's exciting because you're seeing the brain,

Time: 1392.27

it's a physical organ, it's part of the body,

Time: 1396.17

outside of the veins on top of it,

Time: 1397.61

it doesn't look like a machine.

Time: 1401.54

But when you do something like that

Time: 1403.94

and you focally change the way it works,

Time: 1407.42

and you see that because the person can't talk anymore

Time: 1409.49

and they say, "I know what I want to say,

Time: 1411.38

but I couldn't get the words out,"

Time: 1414.56

you're confronted with this idea

Time: 1418.415

that that organ is the basis of speech and language

Time: 1423.14

and way beyond that, obviously,

Time: 1424.91

you know, for all the other functions

Time: 1426.2

that we have for thinking

Time: 1428.09

and feeling our emotions, everything.

Time: 1430.67

So that, to me, is a constant reminder

Time: 1434.27

of, you know, this really special thing that the brain does

Time: 1438.06

which is compute so many of the things that we do,

Time: 1441.497

and in particular in the area

Time: 1442.97

around speech and language, generating words,

Time: 1445.88

something that is really unique to our species,

Time: 1450.62

is just extraordinary to see.

Time: 1453.11

Again, even though I've seen it thousands of times,

Time: 1455.87

it's just having that connection

Time: 1458.96

because it doesn't look like a machine,

Time: 1460.4

but it is doing something that is quite complicated,

Time: 1463.97

precise, and remarkable.

Time: 1465.62

- Do you ever see emotional responses

Time: 1467.24

from stimulation in particular areas?

Time: 1469.31

And do you ever hear or see emotional responses

Time: 1474.08

that are associated with particular types of speech?

Time: 1476.78

Because, for instance, curse words are known to,

Time: 1481.73

people with Tourette's often will curse,

Time: 1483.32

not always, sometimes they'll have tics or other things.

Time: 1486.29

But what I learned from a colleague of ours

Time: 1488.63

is that curse words have a certain structure to them.

Time: 1491.15

There's usually a heavy

Time: 1492.83

or kind of a sharp consonant up front, right,

Time: 1495.89

that allows people, at least as it was described to me,

Time: 1499.04

to have some sort of emotional release.

Time: 1500.45

It's not a word like murmur,

Time: 1502.28

which has kind of a soft entry here,

Time: 1504.14

I'm not using the technical language,

Time: 1506

and you pick your favorite curse word out there, folks.

Time: 1508.19

I'm not going to shout out any now or say any now,

Time: 1511.16

but that certain words have a structure to them

Time: 1515.36

that, because of the motor patterns

Time: 1516.98

that are involved in saying that word,

Time: 1520.01

you could imagine it has an emotional response unto itself.

Time: 1523.67

So when stimulating

Time: 1524.81

or when blocking these different brain areas,

Time: 1526.34

do you ever see people get angry or sad

Time: 1528.32

or happy or more relaxed?

Time: 1530.9

- Oh, well, definitely I've seen cases

Time: 1536.06

where you can invoke anxiety, stress,

Time: 1541.97

and I think that there are also areas that you can stimulate

Time: 1546.647

and you can also evoke the opposite of that,

Time: 1550.16

sort of like a calm state.

Time: 1552.74

- I think that brain area is slightly hyperactive in you,

Time: 1555.95

or at least more than me.

Time: 1557.83

In all the years I've known you,

Time: 1559.79

you've always been, at least externally, a very calm person.

Time: 1562.603

I mean, I always find it amusing

Time: 1564.29

that you work on speech and language

Time: 1565.307

and you have a very calming voice.

Time: 1568.79

And I'm being really serious.

Time: 1570.11

I think that there's a huge variation in that, right,

Time: 1572.72

in terms of how people speak and how they accent words.

Time: 1575.84

- Absolutely, yeah.

Time: 1576.86

So there are areas,

Time: 1578.75

for example, the orbitofrontal cortex that we showed

Time: 1583.82

that if you stimulate there...

Time: 1585.14

The orbitofrontal cortex is a part of the brain

Time: 1587

that's above the eyes.

Time: 1587.87

That's why they call it orbitofrontal,

Time: 1590.18

meaning it's above the eye or the orbit

Time: 1592.46

and in the frontal lobe, and it's this area right in here.

Time: 1596.69

It has really complex functions.

Time: 1598.79

It's really important for learning and memory.

Time: 1601.67

But one of the things that we observed

Time: 1603.53

is when you stimulate in there,

Time: 1604.94

people tended to have a reduction in their stress,

Time: 1608.99

and it was very much related to their state of being,

Time: 1613.49

meaning that if someone was already kind of feeling normal

Time: 1617.72

and you stimulate there, it didn't do much.

Time: 1619.67

But if someone was in a very anxious state,

Time: 1622.01

it actually relieved that.

Time: 1623.87

And then we've seen the corollary of that

Time: 1626.42

which is true, too,

Time: 1627.74

which is that there are other areas

Time: 1629.81

like the amygdala or parts of the insula

Time: 1632.63

that if you stimulate,

Time: 1634.19

you can cause an acute temporary anxiety,

Time: 1640.37

a nervous feeling,

Time: 1641.9

or if you stimulate the insula,

Time: 1643.55

people can have an acute feeling of disgust.

Time: 1646.28

So, you know, the brain has different functions

Time: 1650.78

and these different nodes that help process the way we feel.

Time: 1654.74

Certainly, I think that, to some degree,

Time: 1656.66

neuropsychiatric conditions reflect an imbalance

Time: 1659.48

of the electrical activities in these areas.

Time: 1664.76

One of the things that was something I will never forget

Time: 1668.72

was taking care of a young woman with uncontrolled seizures.

Time: 1673.88

We call that epilepsy.

Time: 1675.05

It's a medical condition where someone

Time: 1676.46

has uncontrolled electrical activity in the brain.

Time: 1679.67

Sometimes you can see that as convulsions

Time: 1681.68

where people are shaking and lose consciousness.

Time: 1684.74

There are other kind of seizures that people can have

Time: 1687.11

where they don't lose consciousness,

Time: 1688.61

but they can have experiences that just come out of nowhere

Time: 1692.9

just as a result of electrical activity

Time: 1695

coming from the brain.

Time: 1696.77

And about six years ago, I took care of a young woman

Time: 1700.79

who was diagnosed psychiatrically

Time: 1705.26

with anxiety disorder for several years.

Time: 1707.69

It turns out that it wasn't really an anxiety disorder.

Time: 1711.05

It was actually that she had underlying seizures,

Time: 1713.96

an epilepsy activating a part of her brain

Time: 1717.11

that evokes, you know, anxious feelings.

Time: 1720.26

- How was that discovered?

Time: 1721.43

Because I know a lot of people out there have anxiety.

Time: 1723.29

I mean, in the absence of a brain scan,

Time: 1726.14

how or why would one suspect that maybe they have a tumor

Time: 1730.91

or some other condition

Time: 1733.7

that was causing those neurons to become hyperactive?

Time: 1735.74

- Yeah, that's really important

Time: 1736.97

because so many people have anxiety,

Time: 1738.95

and the vast, vast majority are not having that

Time: 1741.98

because they're having seizures in the brain.

Time: 1744.17

I think one of the ways that this was diagnosed

Time: 1746.96

was that the nature

Time: 1749.96

of when she was having these panic attacks

Time: 1752.96

was not triggered by anything.

Time: 1754.91

They would just happen spontaneously.

Time: 1757.55

And that's what can happen with seizures sometimes.

Time: 1759.53

They just come out of nowhere.

Time: 1761.3

We don't fully understand what can trigger them,

Time: 1763.73

but they weren't things

Time: 1764.78

that were typically anxiety-provoking.

Time: 1768.38

This is something that just happened all of a sudden.

Time: 1771.59

And because you brought it up,

Time: 1775.43

this is not something that you can see on an MRI.

Time: 1778.64

We could not see and look at the structure of her brain,

Time: 1782.15

with an MRI, that she was having seizures.

Time: 1785.18

The only way that we could actually prove this

Time: 1788

was actually putting electrodes into her brain

Time: 1791.6

and proving that these attacks that she was having

Time: 1796.85

were localized to a part called the amygdala,

Time: 1800.39

it's a medial part of the temporal lobe, which is here,

Time: 1803.45

and associating the electrical activity

Time: 1806.72

that we were seeing on those electrodes

Time: 1808.31

with the symptoms that she had,

Time: 1810.83

and she ultimately needed a kind of surgery

Time: 1813.32

where she was awake in order to remove this safely.

Time: 1819.47

- Speaking of epilepsy,

Time: 1821.33

a number of people out there have epilepsy

Time: 1823.4

or know people who do.

Time: 1825.14

Are the drugs for epilepsy satisfactory?

Time: 1828.23

You know, I think about things like Depakote,

Time: 1830.09

you know, and adjusting the excitation

Time: 1832.04

and inhibition of the brain.

Time: 1833

I mean, are there good drugs for epilepsy?

Time: 1835.88

We know there are not great drugs

Time: 1837.68

for a lot of other conditions.

Time: 1840.26

And how often does one need neurosurgery

Time: 1844.58

in order to treat epilepsy?

Time: 1845.66

Or can it be treated most often just using pharmacology?

Time: 1849.53

- Yeah, great question.

Time: 1850.67

Well, a lot of people have seizures

Time: 1855.35

that can be completely controlled

Time: 1856.64

by their medications, a lot.

Time: 1859.7

But there's about a one-third of people who have epilepsy,

Time: 1863.21

which we define as anyone who's had three or more seizures

Time: 1869

that, you know, about a third of them

Time: 1870.98

actually don't have control

Time: 1873.32

with all of the modern medications that we have nowadays.

Time: 1877.16

And some of the data suggests

Time: 1878.57

that if you have two or three medications,

Time: 1882.74

it actually doesn't matter necessarily

Time: 1884.21

which of the anti-seizure medications it is,

Time: 1887.54

but there is data suggests

Time: 1888.89

if you've just tried two or three,

Time: 1892.04

the fourth, fifth, sixth, and beyond

Time: 1895.76

is not likely to help control it.

Time: 1898.01

So we are in a situation, unfortunately,

Time: 1901.34

where a lot of the medications are great for some people,

Time: 1904.61

but for another subset, they can't control it,

Time: 1907.46

and it comes from a particular part of the brain.

Time: 1909.5

Now, fortunately, in that subset,

Time: 1913.73

there's another part of that group

Time: 1916.01

that can benefit from a surgery

Time: 1917.69

that actually either removes that part of the brain,

Time: 1920.39

and nowadays, we'll use stimulators now

Time: 1922.64

to sometimes put electrical stimulation

Time: 1926

in that part of the brain to help reduce the seizures.

Time: 1928.4

- And you said a third of people with epilepsy

Time: 1930.83

might need neurosurgery?

Time: 1932.33

- Well, what I mean by that

Time: 1934.01

is, like, they continue to have seizures

Time: 1936.38

that are not controlled by all medications,

Time: 1938.54

and there's going to be another subset of those

Time: 1941.39

that may benefit from a surgery.

Time: 1944.81

It's probably not that whole third, it's a subset of that.

Time: 1948.2

It's just to say that epilepsy

Time: 1949.79

can be really hard to get fixed.

Time: 1951.71

And for people where the seizures come from one spot

Time: 1956.15

or, you know, an area, then surgery can do great.

Time: 1960.46

If it comes from multiple areas

Time: 1962.33

or if it comes from the whole brain,

Time: 1963.53

then we have to think about other methods to control it.

Time: 1966.2

Fortunately, nowadays, there's actually other ways.

Time: 1969.41

Surgery now, to us,

Time: 1970.52

doesn't just mean removing part of the brain.

Time: 1974.66

Half of what we do now is use stimulators

Time: 1977.18

that modulate the state of the brain

Time: 1978.5

that can help reduce the seizures.

Time: 1981.17

- I've heard before that the ketogenic diet

Time: 1984.74

was originally formulated in order to treat epilepsy

Time: 1989.51

and, in particular, in kids.

Time: 1991.43

Is that true, and why would being in a ketogenic state

Time: 1995.6

with low blood glucose reduce seizures?

Time: 1998.69

- That's a great question.

Time: 1999.95

And to be honest, I don't know actually

Time: 2002.53

if it was originally designed to treat seizures,

Time: 2005.68

but I can tell you for sure that for some people,

Time: 2009.04

just like with some medications,

Time: 2010.81

it can be a life-changing thing.

Time: 2012.58

It can completely change the way that the brain works.

Time: 2016.54

And it's not something that's for everybody,

Time: 2019.66

but for some people, there's no question,

Time: 2021.4

and it has some very beneficial effects.

Time: 2023.71

I think it's to be determined still,

Time: 2025.57

like why and how that works.

Time: 2028.84

- I've heard similar things about the ketogenic diet

Time: 2030.85

for people with Alzheimer's dementia,

Time: 2033.25

that there's nothing particularly relevant

Time: 2037.63

about ketosis to Alzheimer's per se,

Time: 2039.88

but because Alzheimer's changes the way

Time: 2043

that neurons metabolize energy

Time: 2046.06

that shifting to an alternate fuel source

Time: 2047.98

can sometimes make people feel better,

Time: 2049.717

and so a number of people are now trying it.

Time: 2051.37

But it's not as if blood glucose and having carbohydrates

Time: 2056.23

is causing Alzheimer's.

Time: 2057.64

And people get confused often

Time: 2058.96

that just because something can help

Time: 2061.63

doesn't mean that the opposite is harming somebody.

Time: 2064.75

So I find this really interesting.

Time: 2066.61

Sometime I'll check back with you about what's happening

Time: 2068.5

in terms of ketogenic diets and epilepsy.

Time: 2071.32

But you said that in some cases, it can help.

Time: 2074.89

Has that observation been made

Time: 2076.18

both for children and for adults?

Time: 2078.1

Because I thought that, originally,

Time: 2079.36

the ketogenic diet for epilepsy

Time: 2081.58

was really for pediatric epilepsy.

Time: 2084.04

- Yeah, that's right.

Time: 2084.88

So a lot of its focus has really been on kids with epilepsy,

Time: 2089.47

but certainly it's a safe thing to try,

Time: 2092.23

so a lot of adults, you know, will try it as well.

Time: 2094.9

- Interesting.

Time: 2095.83

I'd like to take a quick break

Time: 2097.21

and acknowledge one of our sponsors, Athletic Greens.

Time: 2100.24

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Time: 2102.73

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Time: 2105.1

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Time: 2107.98

I've been taking Athletic Greens since 2012,

Time: 2110.68

so I'm delighted that they're sponsoring the podcast.

Time: 2112.9

The reason I started taking Athletic Greens,

Time: 2114.49

and the reason I still take Athletic Greens

Time: 2116.56

once or usually twice a day,

Time: 2118.54

is that it gets me the probiotics

Time: 2120.46

that I need for gut health.

Time: 2122.14

Our gut is very important.

Time: 2123.25

It's populated by gut microbiota

Time: 2125.8

that communicate with the brain, the immune system,

Time: 2127.57

and basically all the biological systems of our body

Time: 2129.94

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Time: 2133.6

and those probiotics in Athletic Greens

Time: 2135.46

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Time: 2139.27

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Time: 2141.13

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Time: 2143.26

that all of my foundational nutritional needs are met,

Time: 2146.2

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Time: 2148.09

If you'd like to try Athletic Greens,

Time: 2149.56

you can go to athleticgreens.com/huberman,

Time: 2152.95

and they'll give you five free travel packs

Time: 2154.9

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Time: 2157.21

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Time: 2158.5

on the plane, et cetera.

Time: 2159.82

And they'll give you a year's supply of Vitamin D3+K2.

Time: 2163.21

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Time: 2165.91

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Time: 2167.26

and the year's supply of Vitamin D3+K2.

Time: 2170.35

I'm curious about epilepsy for another reason.

Time: 2174.25

I was taught that epilepsy is an imbalance

Time: 2176.47

in the excitation and inhibition in the brain.

Time: 2178.968

So you think about these electrical storms

Time: 2180.4

that give people either grand mal,

Time: 2182.14

you know, shaking and kind of convulsions.

Time: 2185.71

But years ago, I was reading a book,

Time: 2187.78

a wonderful book actually,

Time: 2189.19

called "Einstein in Love" by Dennis Overbye.

Time: 2191.53

It was about Einstein and I guess his personal life.

Time: 2196.69

People who knew him

Time: 2198.07

claimed that he would sometimes walk along,

Time: 2200.65

and then every once in a while would just stop

Time: 2202.87

and kind of stare off into space

Time: 2204.19

for anywhere from a minute to three to five minutes,

Time: 2207.4

and it was speculated that he had absence seizures.

Time: 2211.75

What is an absence seizure?

Time: 2213.34

And the reason I ask is I occasionally will be walking along

Time: 2216.73

and I'll be thinking about something and I'll stop.

Time: 2218.68

But in my mind, I'm thinking during that time,

Time: 2223.3

but I realize that if I were to see myself from the outside,

Time: 2225.43

it might appear that I was just kind of absent.

Time: 2227.98

What is an absence seizure?

Time: 2230.02

Because it's so strikingly different in its description

Time: 2232.75

from, say, a grand mal convulsive seizure.

Time: 2235.66

- Sure, well, like I mentioned before,

Time: 2239.8

depending on how the seizure activity spreads in the brain

Time: 2243.07

or how it actually propagates,

Time: 2246.28

if it stays in one particular spot

Time: 2247.99

and doesn't spread to the entire brain,

Time: 2249.67

it can have really different manifestation.

Time: 2252.67

It can represent really differently.

Time: 2254.56

So absence seizure is just one category

Time: 2257.53

of different kind of seizures

Time: 2258.7

where you can lose consciousness basically,

Time: 2262.18

and what I mean by that is that you're not fully aware

Time: 2265.96

of what's going on in your environment, okay?

Time: 2268.15

So you're sort of taken offline

Time: 2269.71

temporarily from consciousness,

Time: 2272.2

but you could still be, for example, standing,

Time: 2275.47

and to people who are not paying attention,

Time: 2278.05

they may not even be aware that that's happening.

Time: 2281.53

- What are some other types of seizures?

Time: 2283.48

- Well, you know, I think some of the other kinds,

Time: 2287.83

the classic ones are temporal lobe seizures.

Time: 2289.99

So these are ones that come from the medial structures

Time: 2293.41

like the amygdala and hippocampus.

Time: 2295.72

Oftentimes people, when they have seizures coming from that,

Time: 2298.78

they may taste something very unusual like a metallic taste

Time: 2304

or smell something like the smell of burning toast,

Time: 2307.42

something like that.

Time: 2309.79

There are some people, with temporal lobe seizures,

Time: 2312.22

will have deja vu.

Time: 2313.36

They will have that experience

Time: 2314.65

that you've been somewhere before,

Time: 2316.72

but that's just a precursor to the seizure.

Time: 2319.87

And it just highlights that when people have seizures

Time: 2323.17

coming from these areas,

Time: 2324.7

they sometimes hijack what that part of the brain

Time: 2328.69

is really for.

Time: 2329.53

So the amygdala and hippocampus, for example,

Time: 2332.74

are really important for learning and memory.

Time: 2335.17

It's not surprising that when people have seizures there

Time: 2337.63

that it can evoke a feeling of deja vu

Time: 2340.78

or that it can evoke a feeling of anxiety.

Time: 2345.31

And the areas that are right next to it, for example,

Time: 2350.92

these areas are really important for processing smell.

Time: 2354.79

So these areas are right next to each other

Time: 2357.4

so you can have these kind of complex set of symptoms,

Time: 2360.13

the weird taste, the smell of toast,

Time: 2363.97

and then a feeling of deja vu,

Time: 2365.29

that's classic for a temporal lobe seizure,

Time: 2368.14

and it's because those parts of the brain

Time: 2369.463

that process those functions are right next to each other.

Time: 2373.75

- I'm told that I've had nocturnal seizures,

Time: 2377.05

and I've woken up sometimes from sleep

Time: 2378.94

having felt as if I was having a convulsion,

Time: 2381.19

the sort of sense of buzzing in the back of the head.

Time: 2384.25

This happened to me two or three times in college.

Time: 2388

Well, I woke up and my girlfriend was very distraught,

Time: 2390.61

like, "You were having a seizure."

Time: 2391.72

I was having full convulsion in my sleep.

Time: 2395.23

Is that correct?

Time: 2397.06

Is there such a thing as nocturnal seizures?

Time: 2398.98

What do they reflect?

Time: 2400.39

They eventually stopped happening,

Time: 2402.46

and I couldn't tether them to any kind of life event.

Time: 2404.95

I wasn't doing any kind of combat sport

Time: 2407.47

or anything at the time,

Time: 2408.43

I wasn't drinking alcohol much,

Time: 2411.25

it's never really been my thing.

Time: 2414.22

What are nocturnal seizures about?

Time: 2416.05

- [Eddie] Oh, well-

Time: 2417.73

- And do I need brain surgery?

Time: 2418.822

[Andrew laughs] [Eddie laughs]

Time: 2420.58

- Nocturnal seizures are just another form.

Time: 2423.64

Like, again, epilepsy and seizures

Time: 2425.71

can have so many different forms

Time: 2427.21

and not just, like, where in the brain,

Time: 2430.15

but also when they happen.

Time: 2431.77

And there are some people who, for whatever reason,

Time: 2435.64

it's very timed to the circadian rhythm.

Time: 2438.49

It's actually not just happening at night,

Time: 2440.14

but a certain period at night

Time: 2441.49

when people are in a certain stage of sleep

Time: 2444.4

that the brain is in a state

Time: 2445.84

that it's vulnerable to having a seizure,

Time: 2449.83

and so that's basically just one form of that.

Time: 2453.01

Again, it's not just about where it's coming from,

Time: 2455.08

but also when it's happening and how that's timed

Time: 2457.6

with other things that are happening with the body.

Time: 2460.36

- Interesting.

Time: 2461.193

Well, it eventually stopped happening

Time: 2462.43

so I stopped worrying about it.

Time: 2465.25

I haven't had seizures since.

Time: 2468.16

Returning to speech and language,

Time: 2470.41

when I was getting weaned in neuroscience,

Time: 2473.77

I learned that we have an area of the brain

Time: 2475.36

for producing speech

Time: 2476.56

and we have an area of the brain for comprehending speech.

Time: 2480.91

What's the story there?

Time: 2482.08

Is it still true

Time: 2483.28

that we have a Broca's and a Wernicke's area?

Time: 2486.19

Those are names of neurologists, presumably,

Time: 2488.38

or neurosurgeons that discovered

Time: 2489.58

these different brain areas.

Time: 2491.23

Maybe you could familiarize us

Time: 2492.49

with some of the sort of textbook version

Time: 2495.97

of how speech and language are organized in the brain,

Time: 2499.06

maybe share with us a little bit of the lesion studies

Time: 2500.98

that led to that understanding,

Time: 2502.33

and then I would love to hear a bit

Time: 2504.49

about what your laboratory is discovering

Time: 2506.23

about how things are actually organized,

Time: 2508.66

because from some discussions you and I have had

Time: 2511.78

over the last year or so,

Time: 2512.89

it seems like, well, let's just be blunt,

Time: 2515.05

it seems that much of what we know from the textbooks

Time: 2517.57

could be wrong.

Time: 2519.64

- Well, I love that question

Time: 2522.91

because, for me, it's very central to the research we do,

Time: 2527.05

and it's where the intersection

Time: 2528.19

between what we do in the laboratory in our research

Time: 2531.94

interfaces with what I see in patients.

Time: 2536.08

And one of the things that fascinated me

Time: 2538.57

early on in my medical training

Time: 2540.43

was in doing some of these brain mapping

Time: 2543.4

or watching them with my mentor

Time: 2545.02

or taking care of patients that had, you know, brain tumors

Time: 2548.89

in a certain part of the brain

Time: 2550.78

was that, a lot of times, what I was seeing in a patient

Time: 2553.3

did not correlate with what I was taught in medical school.

Time: 2557.38

And, you know, some people will think,

Time: 2560.26

well, this might be an exception,

Time: 2563.08

but after you see it for a couple times

Time: 2564.787

and if you're kind of interested in this problem,

Time: 2569.38

you know, it poses a serious challenge

Time: 2571.6

to what you've learned

Time: 2573.58

and how you think about how these things operate.

Time: 2577.06

And that actually got me really interested

Time: 2579.79

in trying to figure this out

Time: 2581.65

because, earlier, we talked about

Time: 2584.05

just this extraordinary thing that the brain is doing

Time: 2587.08

to create words and sentences,

Time: 2589.78

and that's the process by which I'm getting ideas out

Time: 2593.23

from my mind into yours.

Time: 2595.9

It's an incredible thing, right?

Time: 2596.95

It's the basis of communication,

Time: 2601.18

high information communication between two individuals

Time: 2605.02

that's really unique to humans.

Time: 2607.21

So in historical times,

Time: 2613.3

how this works has been very controversial

Time: 2616.09

from day one of neuroscience.

Time: 2621.816

A long time ago, people thought the bumps on your head

Time: 2625.06

corresponded to the different faculties of the mind.

Time: 2629.41

So for example, if you had a bump here,

Time: 2631.36

it might be corresponding to intelligence

Time: 2634.09

or another one over here, you know, to vision

Time: 2636.73

and these kind of things.

Time: 2638.86

That's what we nowadays call phrenology,

Time: 2641.14

and that was kind of the starting point.

Time: 2645.13

A lot of that has been, of course, debunked,

Time: 2647.26

but when you see those little statues

Time: 2648.91

of different brain partitions on someone's head,

Time: 2652.63

that's essentially how people

Time: 2655.36

were thinking about how the brain worked back then,

Time: 2658.45

a couple hundred years ago.

Time: 2661.54

Modern neuroscience began when,

Time: 2665.35

actually, it was very much related

Time: 2667.03

to the discovery of language.

Time: 2668.8

So modern neuroscience,

Time: 2670.39

meaning moving beyond this idea that the bumps on the scalp

Time: 2674.02

corresponded to the faculties of the mind,

Time: 2676.18

but there were things

Time: 2677.013

that actually were in the brain themselves,

Time: 2678.91

and they weren't corresponding to things

Time: 2680.62

that you could see superficially,

Time: 2682.69

like on the scalp or externally,

Time: 2686.29

that it was something about the brain itself.

Time: 2688.39

I mean, it seems so obvious now,

Time: 2690.19

but back then, this was the big academic, you know, debate.

Time: 2695.2

And the first observation

Time: 2698.26

that I think was really impactful in the area of language

Time: 2702.07

was an observation by a French neurosurgeon

Time: 2705.94

named Pierre Broca.

Time: 2707.89

And what he observed was that in a patient,

Time: 2711.04

not that he did surgery in,

Time: 2712.18

but that he had seen and taken care of,

Time: 2715.512

that the person couldn't talk.

Time: 2717.82

And, in particular, they called this individual Tan

Time: 2721.24

because the only words that he could produce was tan, tan.

Time: 2726.43

For the most part,

Time: 2727.263

he could generally understand the kind of things

Time: 2729.4

that people were asking him about,

Time: 2732.04

but the only thing that he could utter from his mouth

Time: 2735.43

were these words, tan, tan.

Time: 2738.76

And what eventually had happened

Time: 2741.43

was this individual passed away,

Time: 2744.49

and the way that neuroscience was done back then

Time: 2747.16

was basically to wait until that happened

Time: 2749.89

and then to remove the brain

Time: 2751.18

and to see what part of the brain was affected

Time: 2754.3

in this patient that they called Tan.

Time: 2756.58

And what Broca found was that there was a part

Time: 2760.48

in the left frontal lobe,

Time: 2763.51

so the frontal lobe is this area like I described earlier,

Time: 2765.82

which is, you know, up behind our forehead, up here,

Time: 2769.96

and in the back of that frontal lobe,

Time: 2775.81

he claimed that this was the seat of articulation

Time: 2781.06

in the brain.

Time: 2781.893

He literally used something like that in French,

Time: 2783.64

the seat of articulation,

Time: 2785.41

meaning that this is the part of the brain

Time: 2787.15

that is responsible for us to generate words.

Time: 2791.83

About 50 years later, the story becomes more complicated

Time: 2797.05

with a German neurologist named Carl Wernicke.

Time: 2801.07

And what Wernicke described

Time: 2803.17

was a different set of symptoms

Time: 2806.62

in patients that he observed a different phenomenon

Time: 2810.91

where people could produce words,

Time: 2815.83

but a lot of the words,

Time: 2816.993

and they were fluent in the sense

Time: 2819.25

that, like, they sound like they could be real words

Time: 2824.56

but from a different language, for example.

Time: 2827.47

And some of us call that, like, word salad or jargon.

Time: 2831.661

They were essentially making up words,

Time: 2834.16

but it was not intentional.

Time: 2835.21

It was just the way that the words came out.

Time: 2837.67

But in addition to that, he observed that these people

Time: 2841

also could not understand what was being said to them.

Time: 2844.93

So we could be having a conversation,

Time: 2847.87

and I'd be asking you, "Am I a woman?"

Time: 2850.84

And you might nod your head,

Time: 2852.19

you know, just because you're not processing the question.

Time: 2856.57

And so here are two observations.

Time: 2863.02

One is that the frontal lobe is important

Time: 2865.66

for articulating speech,

Time: 2867.91

creating the words and expressing them fluently.

Time: 2871.15

And then a different part of the brain

Time: 2872.71

called the left temporal lobe,

Time: 2875.11

which is this area right above my ear,

Time: 2879.91

that is an area that I think was claimed

Time: 2883.3

to be really important for understanding.

Time: 2885.97

So the two major functions in language,

Time: 2889

to speak and to understand,

Time: 2891.88

were kind of pinned down to that,

Time: 2893.29

and we've had that basic idea in the textbooks

Time: 2898.57

for, you know, over 200 years.

Time: 2900.58

- It's certainly what I was taught.

Time: 2901.99

- [Eddie] Is that right?

Time: 2902.823

- Oh, yeah, and certainly what we still,

Time: 2904.99

we still teach undergraduates, graduate students,

Time: 2907.45

and medical students that.

Time: 2909.22

- Well, that's what I learned, too, in medical school.

Time: 2911.53

And what I saw in reality

Time: 2913.81

when I started taking care of patients

Time: 2915.25

was that it's not so simple.

Time: 2918.79

In fact, part of it is fundamentally wrong.

Time: 2920.86

So just in a nutshell,

Time: 2922.66

nowadays, after, you know, looking at this very carefully

Time: 2926.23

over hundreds of patients,

Time: 2927.49

we've shown that surgeries,

Time: 2929.8

for example, in the posterior part of the frontal lobe,

Time: 2933.85

a lot of times, people have no problem talking at all

Time: 2936.73

whatsoever after those kind of surgeries,

Time: 2939.91

and that it's a different part of the brain

Time: 2941.86

that we call the precentral gyrus.

Time: 2945.31

The precentral gyrus is a part of the brain

Time: 2947.95

that is intimately associated with the motor cortex.

Time: 2952.09

The motor cortex is the part of the brain

Time: 2953.233

that has a map of your entire body

Time: 2956.74

so that it has a part that corresponds to your feet,

Time: 2959.38

it has a part that corresponds to your hands.

Time: 2961.54

But then there's another part

Time: 2962.8

that comes out more laterally on the side of the brain

Time: 2965.44

that corresponds to your lips, your jaw, your larynx,

Time: 2969.55

and we have seen that when patients have surgeries

Time: 2973.63

or injuries to that part of the brain,

Time: 2975.61

it actually can really interrupt language,

Time: 2977.5

so it's not as simple

Time: 2978.37

as just moving the muscles of the vocal tract,

Time: 2981.37

but it's also important for formulating

Time: 2983.62

and expressing words.

Time: 2985.42

So that's Broca's area

Time: 2989.05

that I think the field now recognizes

Time: 2992.26

not just because of our work,

Time: 2993.31

but many other people that have studied this

Time: 2995.29

in stroke and beyond,

Time: 2996.91

is that the idea

Time: 2998.5

that that is the basis of speaking in Broca's area

Time: 3002.49

is fundamentally wrong right now,

Time: 3005.547

and we have to figure out how to correct the textbooks

Time: 3008.1

that we kind of understand that

Time: 3009.223

so that we can continue to make progress.

Time: 3013.29

Now, in terms of the other major area

Time: 3015.78

that we call Wernicke's area in the posterior temporal lobe,

Time: 3020.28

that has held,

Time: 3024.99

I think, quite legitimately for some time.

Time: 3027.75

So that is an area that you have to be super careful

Time: 3032.28

when you do surgery there.

Time: 3034.23

That's an area where,

Time: 3036.21

if you have a mistake there and you cause a stroke

Time: 3040.17

or you remove too much of the tumor there,

Time: 3042.84

you go too far beyond it,

Time: 3045.3

then the person can be really, really hurt.

Time: 3048.66

Like, they'll have a condition that we call aphasia

Time: 3051.6

where they may not be able to understand words,

Time: 3054

they may not be able to remember the word

Time: 3058.007

that they're trying to say.

Time: 3059.16

They know what they're trying to say,

Time: 3060.66

but they can't remember the precise word

Time: 3063.12

that goes with the object that they're trying to think of.

Time: 3065.58

They may even produce words

Time: 3067.95

that I described before are like word salad or very jargony.

Time: 3072.06

So, you know, they might say something like tamiranai.

Time: 3077.49

That's not a real word,

Time: 3078.93

but it sounds like it could be, you know?

Time: 3081.42

And that's just because that part of the brain

Time: 3083.25

has some role not just in understanding what we hear,

Time: 3087.51

but also actually has a really important role

Time: 3090.15

in sending the commands to different parts of the brain

Time: 3092.37

to control what we say.

Time: 3094.77

- Not long ago, you and me

Time: 3098.61

and my good friend Rick Rubin

Time: 3101.01

were having a conversation about medicine and science,

Time: 3105.03

and Rick asked the question,

Time: 3107.587

"What percentage of what you learned

Time: 3110.82

in graduate and/or medical school do you think is correct?"

Time: 3117.03

And you had a very interesting answer.

Time: 3119.94

Would you share it with us?

Time: 3122.76

- I don't know. I don't remember the exact.

Time: 3124.53

But I would say

Time: 3125.94

that with regard to the brain in particular,

Time: 3131.97

I would say about 50%

Time: 3133.95

gets it right and accurate and is helpful,

Time: 3138.03

but another 50% is just the approximation

Time: 3141.24

and oversimplification of what's going on.

Time: 3144.36

The example that we talked about,

Time: 3145.47

language is just an example of that.

Time: 3147.06

It's just there are things that make it easier to learn

Time: 3151.77

and easier to teach and easier to even think about,

Time: 3155.73

and that's probably why we continue teaching

Time: 3157.83

in the way that we do.

Time: 3159.33

But I think as time goes on,

Time: 3161.43

the complexity of reality of how the brain works

Time: 3164.91

is, well, first of all,

Time: 3167.61

we're still trying to figure it out,

Time: 3169.62

and second of all, it is complex

Time: 3171.42

and it's still incomplete story.

Time: 3174.21

- It's early days.

Time: 3175.043

And we'll get into some of the technical advances

Time: 3177.6

that are allowing some correction of the errors

Time: 3181.17

that the field has made.

Time: 3182.82

And, look, no disrespect to the brain explorers

Time: 3185.91

that came before us,

Time: 3187.02

and the ones that come after us will correct us, right?

Time: 3190.59

That's the way the game is played.

Time: 3192.6

But what I'm hearing

Time: 3193.8

is that there are certain truths that people accept,

Time: 3196.08

and then there's about half of the information

Time: 3198.45

that is still open for debate

Time: 3199.98

and maybe even for complete revision.

Time: 3202.8

One thing that I learned about language

Time: 3205.41

and the neural circuits underlying language

Time: 3207.72

is that it's heavily lateralized,

Time: 3209.61

that these structures, Broca's and Wernicke's

Time: 3211.74

and other structures in the brain

Time: 3212.85

responsible for speech and comprehension of speech

Time: 3215.94

sit mainly on one side of the brain,

Time: 3218.67

but they do not have a mirror representation

Time: 3222.06

or another equivalent area

Time: 3224.01

on the opposite side of the brain.

Time: 3225.12

And for those that haven't poked around in a lot of brains,

Time: 3230.13

certainly you, Eddie,

Time: 3231.9

have done far more of that than I have,

Time: 3233.31

but I've done my fair share in nonhuman species

Time: 3236.19

and a little bit in humans,

Time: 3238.11

almost every structure,

Time: 3239.31

almost every structure has a matching structure

Time: 3242.91

on the other side of the brain,

Time: 3243.96

so when we say the hippocampus,

Time: 3245.31

we really mean two hippocampi,

Time: 3247.23

one on each side of the brain.

Time: 3248.79

But language, I was taught, is heavily lateralized,

Time: 3251.64

that is, that there's only one.

Time: 3253.5

So that raises two questions. One, is that true?

Time: 3256.14

And if it is true, then what is the equivalent real estate

Time: 3260.52

on the opposite side of the brain doing

Time: 3262.62

if it's not doing the same function

Time: 3264.03

that the one on, say, the left side is performing?

Time: 3266.43

- Well, that's one of those things

Time: 3267.66

that is, again, like mostly true, not 100%.

Time: 3271.35

And what I mean by that is that it's complicated.

Time: 3275.19

So for people who are right-handed,

Time: 3278.52

99% of the time, the language part of the brain

Time: 3281.16

is on the left side.

Time: 3283.74

- And what is the equivalent brain area

Time: 3285.87

on the right side doing if it's not doing language?

Time: 3288.93

- Well, you know, the thing that's incredible

Time: 3290.4

is if you look at the right side

Time: 3292.59

and you look at it very carefully,

Time: 3293.67

either under an MRI

Time: 3295.74

or you actually look at the brain

Time: 3297.27

under slides in a microscope,

Time: 3299.31

it looks very, very similar.

Time: 3300.9

It's not identical, but it looks very, very similar.

Time: 3303.93

All the gyri, which are the bumps on the brain

Time: 3306.93

that, you know, have the different contours

Time: 3308.94

and the valleys that we call sulci,

Time: 3310.77

those all look basically the same.

Time: 3312.54

Like, there is a mirror anatomy on the left and right side,

Time: 3317.25

and so it's not been so clear

Time: 3319.38

what's so special actually about the left side

Time: 3324.055

to house language.

Time: 3325.17

But what we do know,

Time: 3326.337

and this is what we use all the time in assessing

Time: 3329.46

and figuring out, you know, this before surgery,

Time: 3332.46

is if you're right-handed,

Time: 3334.2

99% of the time, the language is going to be

Time: 3337.02

on the left side of the brain.

Time: 3338.7

- Is handedness genetic in any way?

Time: 3340.71

I mean, when I grew up, - Yes.

Time: 3342.03

- a pen or a pencil or crayon

Time: 3343.65

was placed into my hand presumably, or I started using...

Time: 3346.77

My father was left-handed,

Time: 3348.24

and then where he grew up in South America,

Time: 3350.61

they forced him to force himself to become right-handed.

Time: 3354.75

They actually used to restrict the movement of his left hand

Time: 3357.24

so he was forced to write...

Time: 3359.4

And then you have hook lefties and hook righties.

Time: 3362.55

And I know this is a deep dive

Time: 3364.77

and we probably don't want to go

Time: 3365.7

into every derivation of this,

Time: 3367.53

but so for somebody who's left-handed,

Time: 3370.29

naturally just starts writing with the left hand,

Time: 3372.57

there's some genetic predisposition to being left-handed?

Time: 3376.41

- Absolutely. No question about it.

Time: 3378.63

Handedness is not entirely but strongly genetic.

Time: 3383.73

So there is something that ties all of this,

Time: 3387.48

and what does handedness, for example, have to do

Time: 3389.37

with the part of your brain that controls language?

Time: 3392.76

Well, it turns out that the parts that control the hand

Time: 3395.79

are very close to the areas

Time: 3397.17

that really are responsible for the vocal tract.

Time: 3399.99

Again, part of the motor cortex

Time: 3401.85

and part of this brain area called the precentral gyrus.

Time: 3405

And there are some theories

Time: 3406.68

that, because of their proximity,

Time: 3409.47

that these parts of the brain

Time: 3410.4

might develop together early in utero

Time: 3413.46

and they might have a head start compared to the right side,

Time: 3416.13

and because they have a head start

Time: 3417.87

that things solidify there.

Time: 3419.91

This is one theory of why this happens.

Time: 3422.94

In people who are left-handed,

Time: 3425.12

it still turns out that the vast majority of people

Time: 3427.98

have language on the left side,

Time: 3429.63

but it's not 99%, it's more like 70%.

Time: 3433.41

So if you're left-handed,

Time: 3435.42

it's still more likely that the language part of your brain

Time: 3438.75

is going to be on the left side,

Time: 3440.91

but there's going to be a greater proportion, maybe 20, 30%,

Time: 3444.6

where it's either in both hemispheres or on the right side.

Time: 3450.78

And just to make this a little bit more interesting

Time: 3454.11

is that when people have strokes on the left side,

Time: 3458.97

and if they are lucky enough to recover from those strokes,

Time: 3462.39

sometimes that involves reorganization,

Time: 3464.49

this term that we call plasticity earlier,

Time: 3467.01

where the areas around where the stroke

Time: 3469.83

take on that new function

Time: 3470.91

in a way that they didn't have before.

Time: 3473.04

That can certainly happen in the left hemisphere,

Time: 3476.52

but there are also instances where the right hemisphere

Time: 3480.99

can also start to take on the function of language

Time: 3483.73

where it was once on left and then transfers to the right.

Time: 3488.79

So the thing that I think about a lot

Time: 3492.21

is that the machinery

Time: 3495.87

probably exists on both sides,

Time: 3498.96

but we don't use them together all the time.

Time: 3502.5

In fact, we may strongly bias one side or the other.

Time: 3506.34

Just like we use our two hands in very, very different ways,

Time: 3509.88

it's a little bit the same with the brain.

Time: 3511.8

Well, it's because of what we do with the brain

Time: 3513.63

that actually is why we use the hands in different ways.

Time: 3516.51

And the same thing goes for language,

Time: 3518.25

which is that, again, the substrates, the organ,

Time: 3521.25

the language organ, the part of the brain that process it

Time: 3524.7

probably has very similar machinery

Time: 3527.73

on the left side as the right,

Time: 3530.217

and the right may have the capability to do it,

Time: 3533.25

but in real, everyday use,

Time: 3535.68

the brain specializes one of the sides

Time: 3539.19

in order for us to use it functionally.

Time: 3543.36

That's a theory.

Time: 3544.77

- You're bilingual, correct?

Time: 3546.12

- Yeah.

Time: 3546.953

- [Andrew] You speak English and Chinese?

Time: 3548.22

- Yeah.

Time: 3549.75

- For people that are bilingual and that learn two or more,

Time: 3553.29

well, bilingual is two, obviously,

Time: 3554.4

but learn both languages

Time: 3556.56

or let's say more languages from an early time in life,

Time: 3560.94

do they use the same brain area to generate that language?

Time: 3563.82

Or perhaps they use the left side to speak English

Time: 3567.75

and the right side to speak Chinese?

Time: 3569.34

Do we know anything about bilingualism in the brain?

Time: 3572.997

- Well, I think we know a lot

Time: 3573.84

about bilingualism in the brain.

Time: 3575.67

The answers are still out there, the final answers on it,

Time: 3578.88

and part of the answer is yes, absolutely,

Time: 3582.18

we use some parts of the brain very similarly.

Time: 3586.98

We actually have a study in the lab right now

Time: 3588.63

where we're looking at this

Time: 3589.65

where people who speak one language or another

Time: 3593.34

or are bilingual,

Time: 3595.23

and we're looking at how the brain activity patterns occur

Time: 3599.34

when they're hearing one language versus the other.

Time: 3601.11

And what's striking to see, actually,

Time: 3603.6

is how overlapping they really can be.

Time: 3606.57

Even though the person may have no idea

Time: 3609.72

of the language that they're hearing,

Time: 3612.24

the English part of the brain is still processing that

Time: 3615.21

and maybe trying to interpret it

Time: 3616.95

through an English lens, for example.

Time: 3620.04

So the short answer is that with bilingualism,

Time: 3623.37

there are shared circuitry,

Time: 3625.928

there's this shared machinery in the brain

Time: 3628.71

that allows us to process both, but it's not identical.

Time: 3634.32

It's the same part of the brain,

Time: 3635.88

but what it's doing with the signals

Time: 3638.22

can be very, very different.

Time: 3640.32

And what I mean by that precisely

Time: 3641.94

is not the instantaneous detecting of one sound to the next,

Time: 3646.44

but the memory of the sequences of those particular sounds

Time: 3651.6

that give rise to things like words and meaning,

Time: 3654.36

that can be highly variable from one individual to the next,

Time: 3658.38

and those neurons are very, very sensitive

Time: 3661.38

to the sequences of the sounds,

Time: 3663.39

even though the sounds themselves

Time: 3665.58

might have some overlap between languages.

Time: 3667.92

- Fascinating.

Time: 3669.18

Okay, so we've talked about brain areas

Time: 3671.19

and a little bit about lateralization.

Time: 3673.83

I want to get back to the hands

Time: 3675.09

and some things related to emotion in a little bit.

Time: 3677.04

But maybe now we could go into those brain areas

Time: 3680.79

and start to ask the question,

Time: 3684.09

what exactly is represented or mapped there?

Time: 3687.39

And for people who perhaps aren't familiar

Time: 3689.91

with brain mapping and representation and receptive fields,

Time: 3693.12

perhaps the simplest analogy might be the visual system

Time: 3698.04

where I look at your face, I know you, I recognize you,

Time: 3700.56

and certainly there are brain areas

Time: 3701.79

that are responsible for face recognition.

Time: 3705.39

But the fact that I know that that's your face,

Time: 3708.99

and for those listening, I'm looking into Eddie's face,

Time: 3711.57

the fact that I know that that's your face at all

Time: 3713.22

is because we are well aware that there are cells

Time: 3716.61

that represent edges and that represent dark and light,

Time: 3719.55

and those all combine

Time: 3720.57

in what we call a hierarchical structure.

Time: 3722.37

They sort of build up from basic elements

Time: 3725.25

as simple as little dots,

Time: 3726.51

but then lines and things that move, et cetera,

Time: 3728.4

to give a coherent representation of the face.

Time: 3732.54

When I think about language,

Time: 3733.71

I think about words and just talking.

Time: 3735.63

If I sit down and do a long podcast

Time: 3737.19

or I think about asking you a question,

Time: 3738.51

I don't even think about the words I want to say very much.

Time: 3741.93

I mean, I have to think about them a little bit,

Time: 3743.31

one would hope,

Time: 3744.39

but I don't think about individual syllables

Time: 3746.61

unless I'm trying to, you know, accent something

Time: 3750.18

or it's a word that I have a particular difficulty saying

Time: 3754.29

or I want to change the cadence, et cetera.

Time: 3756.87

So what's represented in the neurons,

Time: 3759.21

the nerve cells in these areas?

Time: 3760.41

Are they representing vowels, consonants?

Time: 3763.02

And how do things like inflection...

Time: 3764.52

Like I occasionally will poke fun at upspeak,

Time: 3767.79

but there's, I think, a healthy, a normal version of upspeak

Time: 3772.95

where somebody's asking a question,

Time: 3774.24

like, for instance, what is that?

Time: 3776.52

That's an appropriate use of upspeak

Time: 3778.71

as opposed to saying something that is not a question

Time: 3781.89

and putting a lilt at the end of the sentence,

Time: 3783.75

then we call that upspeak,

Time: 3785.19

which doesn't fit with what the person is saying.

Time: 3788.91

So what in the world is contained in these brain areas,

Time: 3791.94

what is represented,

Time: 3793.98

to me, is perhaps one of the most interesting questions,

Time: 3797.13

and I know this lands square in your wheelhouse.

Time: 3799.44

- Sure, let's get into this, Andrew,

Time: 3802.44

because this is one of the most exciting stuff

Time: 3805.32

that's happening right now is understanding

Time: 3807.21

how the brain processes these exact questions.

Time: 3810.78

And you asked me earlier,

Time: 3811.63

you know, what is difference between speech and language?

Time: 3814.95

Speech corresponds to the communication signal.

Time: 3819.81

It corresponds to me moving my mouth and my vocal tract

Time: 3823.14

to generate words,

Time: 3824.85

and you're hearing these as an auditory signal.

Time: 3828.45

Language is something much broader.

Time: 3832.29

So it refers to what you're extracting

Time: 3835.35

from the words that I'm saying,

Time: 3836.73

we call that pragmatics

Time: 3837.9

and sort of are you getting the gist of what I'm saying?

Time: 3840.51

There's another aspect of it that we call semantics.

Time: 3842.82

Do you understand the meaning

Time: 3844.83

of these words and the sentences?

Time: 3848.25

There's another part that we call syntax,

Time: 3849.9

which refers to how the words are assembled

Time: 3852.48

in a grammatical form.

Time: 3854.07

So those are all really critical parts of language,

Time: 3857.13

and speech is just one form of language.

Time: 3860.31

There's many other forms like sign language, reading.

Time: 3864.12

Those are all important modalities for reading.

Time: 3867.09

Our research really focuses on this area

Time: 3871.62

that we're calling speech,

Time: 3872.64

again, the production of this audio signal

Time: 3876.99

which you can't see but your microphones are picking up.

Time: 3881.19

There are these vibrations in the air

Time: 3883.89

that are created by my vocal tract

Time: 3885.78

that are picked up by the microphone

Time: 3888.54

in the case of this recording,

Time: 3889.8

but also picked up by the sensors in your ear.

Time: 3893.07

The very tiny vibrations in your ear are picking that up

Time: 3896.91

and translating that into electrical activity.

Time: 3900.93

And what the ear does at the periphery

Time: 3904.2

is translates all sounds into different frequencies.

Time: 3909.39

So its main thing to do is to take a speech signal

Time: 3914.52

or any other kind of sound and decompose it,

Time: 3917.67

meaning separate that sound into different kind of signals.

Time: 3923.31

And in the case of hearing, what it's doing

Time: 3925.47

is separating it out into low, middle, high frequencies

Time: 3930.72

at a very, very high resolution.

Time: 3933.63

It's doing it very quickly,

Time: 3935.1

and it's doing it in a really fine way

Time: 3936.36

to separate all of those different sounds.

Time: 3938.73

So if you look at the periphery

Time: 3940.68

near the nerve that goes to your ear,

Time: 3943.65

those nerve fibers,

Time: 3944.67

some of them are tuned to low frequencies,

Time: 3947.49

some of them are tuned to high frequencies,

Time: 3949.47

some of them are tuned to the middle frequencies,

Time: 3951.75

and that is what your ear is doing.

Time: 3953.73

It's taking these words

Time: 3954.84

and splitting them up into different frequencies.

Time: 3958.08

- And for those of you out there

Time: 3959.16

that aren't familiar with thinking about things

Time: 3960.54

in the so-called frequency space,

Time: 3963.42

bass tones would be lower frequencies

Time: 3965.34

and high-pitched tones would be higher frequencies,

Time: 3967.59

just to make sure everyone's on the same page.

Time: 3969.81

So the sound of my voice, the sound of your voice,

Time: 3972.48

or any sound in the environment

Time: 3973.47

is being broken down into these frequencies.

Time: 3975.66

Are they being broken down

Time: 3977.04

into very narrow channels of frequency,

Time: 3980.04

or are they, I want to avoid nomenclature here,

Time: 3983.52

or are they being binned as fairly broad frequencies?

Time: 3987.24

'Cause we know low, medium, and high,

Time: 3989.31

but, for instance, I can detect

Time: 3991.86

whether or not something's approaching me

Time: 3993.69

or moving away from me

Time: 3995.07

depending on whether or not it sweeps louder

Time: 3998.197

[imitates sound approaching]

Time: 3999.27

or [imitates sound receding], right, towards or away.

Time: 4002.12

It's subtle, and of course it's combined

Time: 4003.98

with what I see and my own movement,

Time: 4006.05

But how finely sliced

Time: 4010.34

is our perception of the auditory world?

Time: 4013.16

- Oh, extraordinarily precise.

Time: 4015.83

I mean, we take these millisecond cues,

Time: 4020.09

the millisecond differences

Time: 4021.53

between the sound coming to one ear,

Time: 4023.78

let's say your right ear versus your left,

Time: 4026.54

to understand what direction that sound came from.

Time: 4030.11

Those are only millisecond differences,

Time: 4032.57

and that's how precise this works.

Time: 4035.06

But on the other hand,

Time: 4036.71

it does a lot of computation on this

Time: 4038.9

it does a lot of analysis as you go up,

Time: 4041.507

and a lot of our work is focused on the part of the brain

Time: 4045.77

that we call the cortex.

Time: 4046.85

The cortex is the outermost part of brain where we believe

Time: 4052.22

that sounds are actually converted into words and language.

Time: 4056.6

So there's this transformation

Time: 4058.25

where, at the ear, words are decomposed

Time: 4062.12

and turned into these elemental frequency channels,

Time: 4066.77

and then as it goes up through the auditory system,

Time: 4070.49

hits the cortex.

Time: 4072.32

There are some things that happen obviously

Time: 4073.76

before it gets to the cortex,

Time: 4075.53

but when it gets to cortex,

Time: 4076.94

there's something special going on,

Time: 4079.28

which is that that part of the brain

Time: 4080.9

is looking for specific sounds.

Time: 4084.32

And specifically what I mean by that

Time: 4086.21

is the sounds of human language,

Time: 4089.33

so the ones that are the different consonants and vowels

Time: 4092.273

in a different language.

Time: 4094.01

One of the ways that we have studied this

Time: 4096.62

is looking in patients who have epilepsy.

Time: 4101

And in a lot of these cases

Time: 4102.41

where the MRI looks completely normal,

Time: 4105.47

we have to put electrodes surgically on a part of the brain.

Time: 4110.72

The temporal lobe is a very, very common place,

Time: 4112.46

so we've done a lot of our work

Time: 4113.6

looking at how the temporal lobe processes speech sounds

Time: 4117.83

because we're looking for where the seizures start,

Time: 4122.27

but then we're also doing brain mapping

Time: 4124.43

for language and speech so we can protect those areas.

Time: 4127.07

We want to identify the areas that we want to remove

Time: 4129.08

to cure someone's seizures,

Time: 4130.52

but we also want to figure out the areas

Time: 4132.17

that are important for speech and language

Time: 4133.91

to protect those so that we can do a surgery

Time: 4136.1

that's effective and safe.

Time: 4138.38

And so in our research,

Time: 4141.44

and why it's become a really important addition

Time: 4144.59

to our knowledge

Time: 4145.76

is that we have electrodes directly recording

Time: 4149.24

from the human brain surface.

Time: 4152.09

A lot of the technology we work with right now

Time: 4154.46

is recording on the order of millimeters,

Time: 4157.73

and they can record millisecond time resolution

Time: 4162.17

of neural activity,

Time: 4164.06

and what we see is extraordinary patterns of activity

Time: 4169.79

when people hear words and sentences.

Time: 4172.85

If you look at that part of the brain

Time: 4174.47

that we call Wernicke's area

Time: 4175.54

in this part of the temporal lobe,

Time: 4177.68

this whole area lights up when you hear words or speech.

Time: 4183.05

And it's not in a way

Time: 4184.73

that is like a general light bulb warming up

Time: 4188.09

and it's generally lit up,

Time: 4190.73

but what you actually see

Time: 4191.63

is something much, much more complicated,

Time: 4194.3

which is a pattern of activity,

Time: 4196.58

and what we've done in the last 10 years

Time: 4198.92

is try to understand what does that pattern come from?

Time: 4202.91

And if we were to look at each individual site

Time: 4205.37

from that part of the brain, what would we see?

Time: 4209.75

What parts of words are being coded by electrical activity

Time: 4214.36

in those parts of the brain?

Time: 4215.3

Remember, the cortex is using electrical activity

Time: 4218.39

to transmit information and do analysis,

Time: 4222.41

and what we're doing is we're eavesdropping

Time: 4224.45

on this part of the brain as it's processing speech

Time: 4227.93

to try to understand what each individual site is doing.

Time: 4231.05

- And what are those sites doing,

Time: 4232.88

or could you give us some examples

Time: 4234.26

of what those sites are doing?

Time: 4235.22

So, for instance, are they sites that are specific for,

Time: 4239.89

or we could say even listening for consonants or for vowels

Time: 4243.59

or for inflection or for emotionality?

Time: 4248.93

What's in there?

Time: 4249.83

- [Eddie] Okay, well-

Time: 4250.663

- What makes these, what makes these cells fire?

Time: 4253.7

- Yeah, what gets them excited?

Time: 4255.44

- Yeah. - What gets them going

Time: 4256.85

is hearing speech.

Time: 4258.56

In particular, there are some of these really focal sites,

Time: 4262.85

again, just on the order of millimeter

Time: 4264.62

or, at some level, single neurons

Time: 4267.65

that are tuned to consonants, some are tuned to vowels,

Time: 4272.3

some are tuned to particular features of consonants.

Time: 4276.26

What I mean by that are different categories of consonants.

Time: 4281.6

There's a class of consonants

Time: 4282.98

that we call plosive consonants.

Time: 4284.593

This is a little bit of linguistic jargon,

Time: 4286.97

but I'm going to make a point here with that

Time: 4288.38

is that certain classes of sounds, when you make them,

Time: 4291.35

it requires you to actually close your mouth temporarily.

Time: 4294.29

- Hmm. Now I'm going to be thinking about this.

Time: 4297.56

So plosive, like plosive,

Time: 4299.298

like saying the word plosive requires that.

Time: 4301.7

- Exactly, so what's cool about that

Time: 4304.07

is that we actually have no idea

Time: 4306.56

what's going on in our mouth when we speak.

Time: 4309.26

We really have no idea.

Time: 4310.52

- Some people definitely have no idea.

Time: 4312.183

[Andrew laughs] [Eddie laughs]

Time: 4313.43

- Well, not just like in terms

Time: 4314.54

of what you're saying sometimes,

Time: 4316.07

but actually like how you're actually moving,

Time: 4319.55

you know, the different parts of vocal tract.

Time: 4321.08

And I have a feeling if we actually required understanding,

Time: 4325.91

we would never be able to speak 'cause it's so complex.

Time: 4328.55

It's such a complex feat.

Time: 4329.75

Some people would say it's the most complex motor thing

Time: 4332.81

that we do as a species is just speaking.

Time: 4335.42

Not, you know, the extreme feats of acrobatics

Time: 4338.81

or athleticism but speaking.

Time: 4341.48

- And especially when one observes, you know, opera

Time: 4344.87

or people who, you know, freestyle rappers.

Time: 4348.56

And of course it's not just the lips. It's the tongue.

Time: 4352.25

And you've mentioned two other structures

Time: 4355.22

Pharynx and larynx are the main ones.

Time: 4358.136

Can you tell us, just educate us at a superficial level

Time: 4361.52

what the pharynx and larynx do differentially?

Time: 4364.767

'Cause I think most people aren't going to

Time: 4366.35

be familiar with that. - Okay, sure.

Time: 4367.67

So I'll talk primarily

Time: 4370.52

about the larynx here for a second,

Time: 4373.43

which is that if you think about when we're speaking,

Time: 4377.57

really, what we're doing is we're shaping the breath.

Time: 4380.81

So even before you get to the larynx,

Time: 4382.43

you got to start with the expiration.

Time: 4386.12

So we fill up our lungs and then we push the air out.

Time: 4391.55

That's a normal part of breathing.

Time: 4394.07

And what is really amazing about speech and language

Time: 4396.97

is that we evolved to take advantage

Time: 4399.59

of that normal physiologic thing, add a larynx,

Time: 4403.49

and what the larynx does is that when you're exhaling,

Time: 4406.49

it brings the vocal folds together.

Time: 4408.83

Some people call them vocal cords.

Time: 4410.93

They're not really cords. They're really vocal folds.

Time: 4413.45

They're two pieces of tissue that come together,

Time: 4415.85

and a muscle brings them together.

Time: 4417.68

And then what happens

Time: 4418.513

is when the air comes through the vocal folds

Time: 4421.01

when they're together,

Time: 4421.843

they vibrate at really high frequencies,

Time: 4425.324

like 100 to 200 hertz.

Time: 4427.4

Yours is probably about 100 hertz.

Time: 4430.008

The average- - Whereas yours is 200.

Time: 4431.48

[Andrew laughs]

Time: 4432.471

- No, no. Most male voices are around 100, okay?

Time: 4435.98

And then the average female voice around 200 hertz.

Time: 4438.679

- Well, and as you know, I've always had the same voice.

Time: 4440.69

- Yes, yes, the same- - This was a point of shame

Time: 4442.13

when I was a kid.

Time: 4443.24

Folks, my voice never changed. I always had the same voice.

Time: 4446.15

This is a discussion for another time.

Time: 4447.77

- Yeah, well, it's a great voice,

Time: 4449.81

you know, a great baritone voice,

Time: 4451.7

but I know in your voice, it's a low-frequency voice.

Time: 4455.9

And the reason why men and women

Time: 4458.06

generally have different voice qualities

Time: 4461.78

is it has to do with the size of the larynx

Time: 4464.75

and the shape of it, okay?

Time: 4466.34

So in general, men have a larger voice box or larynx,

Time: 4470.72

and the vibrating frequency, the resonance frequency

Time: 4473.45

of the vocal folds when the air comes through them

Time: 4476.78

is about 100 hertz for men and about 200 for women.

Time: 4480.26

So what happens is,

Time: 4483.02

okay, so you take a breath in,

Time: 4486.71

and then as the air is coming out,

Time: 4489.8

the vocal folds come together and the air goes through.

Time: 4492.47

That creates the sound of the voice that we call voicing,

Time: 4497.48

and that's the energy of your voice.

Time: 4499.88

It's not just your voice characteristic,

Time: 4502.67

it's the energy of your voice.

Time: 4505.07

It's coming from the larynx there, it's a noise.

Time: 4509.9

And then it's the source of the voice.

Time: 4512.99

And then what happens is that energy,

Time: 4515.57

that sound goes up through the parts of the vocal tract,

Time: 4519.65

like the pharynx into the oral cavity,

Time: 4523.82

which is your mouth and your tongue and your lips.

Time: 4526.85

And what those things are doing

Time: 4528.92

is that they're shaping the air in particular ways

Time: 4533.24

that create consonants and vowels.

Time: 4536.93

So that's what I mean by shaping the breath.

Time: 4540.11

It just starts with this exhalation.

Time: 4543.11

You generate the voice in the larynx,

Time: 4545.63

and then everything above the larynx is moving around,

Time: 4549.05

just like the way my mouth is doing right now,

Time: 4551.33

to shape that air into particular patterns

Time: 4555.931

that you can hear as words.

Time: 4559.19

- Fascinating, and immediately makes me wonder

Time: 4564.2

about more primitive or non-learned vocalizations

Time: 4569

like crying or laughter.

Time: 4571.07

Babies will cry, babies will show laughter.

Time: 4574.73

Are those sorts of vocalizations

Time: 4579.2

produced by the language areas like Wernicke's,

Time: 4582.35

or do they have their own unique neural structures?

Time: 4585.53

- Yeah, interesting question.

Time: 4586.97

So we call those vocalizations.

Time: 4591.17

A vocalization is basically where someone

Time: 4593.63

can create a sound, like a cry or a moan,

Time: 4598.88

that kind of sound,

Time: 4600.32

and it also involves the exhalation of air.

Time: 4604.85

It also involves some phonation at the level larynx

Time: 4608.21

where the vocal folds come together

Time: 4610.22

to create that audible sound.

Time: 4613.22

But it turns out that those are actually different areas,

Time: 4616.34

so people who have injuries in the speech and language areas

Time: 4620.36

oftentimes can still moan, they can still vocalize,

Time: 4623.96

and it is a different part of the brain,

Time: 4625.88

I would say an area that even nonhuman primates have

Time: 4629.81

that can be specialized, you know, for vocalization.

Time: 4632.9

It's a different form of communication

Time: 4635.42

than words, for example.

Time: 4637.7

- The intricacy of these circuits in the brain

Time: 4640.07

and their connections to the pharynx and larynx is just,

Time: 4645.17

it's almost overwhelming

Time: 4646.58

in terms of thinking about just how complicated it must be,

Time: 4649.4

and yet some general features and principles

Time: 4651.92

are starting to emerge from your work

Time: 4653.48

and from the work of others.

Time: 4656.33

If we think about that work

Time: 4658.07

and we think about, for instance, Wernicke's area,

Time: 4662.06

if I were to record from neurons in Wernicke's area

Time: 4667.13

at different locations,

Time: 4668.24

would I find that there's any kind of systematic layout?

Time: 4672.71

For instance, in terms of, you talked about sound frequency,

Time: 4675.65

we know that low frequencies

Time: 4676.73

are represented at one end of a structure

Time: 4678.38

and high frequencies at the other.

Time: 4679.55

This is true actually, at least from my earlier training,

Time: 4682.19

within the ear itself, within the cochlea,

Time: 4684.74

the early work of von Bekesy and from cadavers, right?

Time: 4687.56

They actually figured this out from dead people,

Time: 4689.42

which is incredible.

Time: 4690.62

A fascinating literature people should look up.

Time: 4695.03

And in the visual system,

Time: 4695.96

we know that, for instance, you know, visual position,

Time: 4700.97

where things are is mapped systematically.

Time: 4703.37

In other words,

Time: 4704.203

neurons that sit next to each other in the brain

Time: 4706.25

represent portions of visual space

Time: 4708.65

that are next to each other in the real world.

Time: 4711.08

What is the organization of language

Time: 4713.93

in areas like Wernicke's and Broca's?

Time: 4716.18

For instance, I think of the vowels, A, E, I, O, U,

Time: 4720.89

as kind of a coherent unit,

Time: 4723.05

but do I find the A neurons are next to the E neurons

Time: 4726.59

or next to the A, E, I, O, U.

Time: 4730.7

Is that vowel representation also laid out in order,

Time: 4735.05

or is it kind of salt and pepper, is it random?

Time: 4737.99

- That's been one of the, like, most important questions

Time: 4740.66

we've been trying to answer for the past decade.

Time: 4743.45

So there is a part of the brain

Time: 4746.06

that we call the primary auditory cortex,

Time: 4748.28

and the primary auditory cortex

Time: 4750.23

is deep in the temporal lobe.

Time: 4751.43

And if you looked at that part of the brain,

Time: 4755.24

there is a map of different sound frequencies.

Time: 4758.42

So if you look at the front of that primary auditory cortex,

Time: 4761.72

you'll find low-frequency sounds,

Time: 4763.46

and then as you march backwards in that cortex,

Time: 4768.35

it goes from low to medium to high frequencies.

Time: 4771.02

It's organized in this really nice and orderly way.

Time: 4774.92

And it turns out there's not just one.

Time: 4776.63

There's, like, mirrors of that tone frequency map

Time: 4780.95

in the primary auditory cortex.

Time: 4783.68

The areas that are really important for speech

Time: 4786.83

are on the side of that.

Time: 4788.57

And we now think that speech

Time: 4791.9

can go straight to the speech cortex

Time: 4793.94

without having to go through the primary auditory cortex,

Time: 4797.063

that it has its own pathway to get to the part of the brain

Time: 4802.37

that processes speech.

Time: 4804.68

And when we've looked at that question about is there a map,

Time: 4809.33

the short answer is yes, there is a map,

Time: 4814.01

but it is not structured universally across all people

Time: 4818.174

in a way that we can clearly see right now.

Time: 4821.12

It is like a salt and pepper map

Time: 4823.67

of the different features in speech.

Time: 4825.92

So before, we talked about these sounds

Time: 4827.69

that are called plosives.

Time: 4829.43

You make a plosive when the mouth

Time: 4832.13

or something in the oral cavity closes temporarily,

Time: 4835.07

and when it opens,

Time: 4837.47

that creates that fast plosive sound.

Time: 4841.22

So when you say dad

Time: 4845

or, you know, like the B in ball,

Time: 4850.4

that kind of thing,

Time: 4851.39

you will notice that your lips actually close,

Time: 4854.09

and then it's the release of that

Time: 4855.35

that creates that particular sounds, okay?

Time: 4857.96

So those are the sounds that we call plosive.

Time: 4859.76

Those are like ba da ga, pa ta ka,

Time: 4864.41

Those are a certain class of consonants

Time: 4865.673

that we call plosive sounds.

Time: 4868.19

There is another class of sounds

Time: 4869.87

that we call fricatives in linguistics.

Time: 4873.05

Fricatives are created by turbulence

Time: 4876.47

in the airstream as it comes out through the mouth,

Time: 4881.652

and the way that we make that turbulence

Time: 4884.6

is getting the mouth and the lips to close

Time: 4887.51

almost until they're completely shut

Time: 4890.72

or putting the tongue to near the teeth

Time: 4893.78

to almost get it completely shut

Time: 4896.3

but just have a narrow aperture,

Time: 4898.34

that creates a turbulence in the airflow

Time: 4900.59

that we perceive as a high-frequency sound.

Time: 4902.21

So those are the sounds like sha and tha,

Time: 4906.2

those kind of things.

Time: 4907.04

Those are, if you look at the frequencies,

Time: 4908.81

they're higher frequencies,

Time: 4909.95

and those are created by specific movements

Time: 4912.95

that you constrict the airflow to create turbulence,

Time: 4915.23

and we hear it as sha, sa, tha.

Time: 4920.81

- So if I say that.

Time: 4922.28

- [Eddie] Exactly.

Time: 4923.12

- And as opposed to a plosive where I'd say explosive.

Time: 4927.26

- [Eddie] Right.

Time: 4928.093

- Of course, I'm emphasizing here.

Time: 4929.18

Well, this explains something and solves a mystery,

Time: 4931.88

which is recently I've been fascinated by the work

Time: 4934.07

of a physician scientist back east,

Time: 4938.69

Dr. Shanna Swan, who's done a lot of work

Time: 4940.46

on things that are contained in pesticides and foods

Time: 4943.34

that are changing hormone levels,

Time: 4945.38

and she refers to phthalates, which is spelled...

Time: 4948.89

So it's both a plosive and a tha,

Time: 4951.14

so it's combining the two,

Time: 4952.13

and it's one of the most difficult words

Time: 4953.93

in the English language to pronounce,

Time: 4955.7

second only perhaps

Time: 4956.93

to the correct pronunciation of ophthalmology.

Time: 4959.547

[Eddie laughs] [Andrew laughs]

Time: 4961.28

So it's a combination of a plosive

Time: 4963.98

and one of these tha sounds,

Time: 4965.96

and that's probably why it's difficult.

Time: 4967.58

- That's exactly right.

Time: 4968.54

In fact, we have a term for that.

Time: 4970.76

That's called a consonant cluster.

Time: 4972.26

So sometimes syllables will just have one consonant,

Time: 4975.41

but when we start stacking certain syllables in a sequence,

Time: 4978.68

and there's rules that actually govern which consonants

Time: 4982.34

can be in a particular sequence for a given language,

Time: 4986.51

that makes it more complicated.

Time: 4987.83

And certain languages

Time: 4988.85

have a lot more constant clusters than others.

Time: 4992.27

- For instance- - So for instance,

Time: 4993.86

Russian, for example, has a lot of consonant clusters.

Time: 4996.74

English has a lot of them.

Time: 4998.48

There are other languages that have very, very few.

Time: 5002.26

For example, Hawaiian.

Time: 5004.3

Hawaiian has an inventory

Time: 5005.38

of about 12 to 14 different phonemes,

Time: 5008.38

14 different consonants and vowels.

Time: 5010.63

English, on contrast,

Time: 5011.71

has about 40 different consonants and vowels.

Time: 5015.25

So languages have different inventories.

Time: 5017.86

They can overlap for sure,

Time: 5019.87

but different languages use different sound elements,

Time: 5023.86

combine and recombine those elements

Time: 5025.57

to give rise to different words and meanings.

Time: 5028.27

- Can we say that there is a most complicated language

Time: 5031.51

out there, or among the most complicated?

Time: 5033.16

Would it be Russian?

Time: 5034.21

- It's definitely high up there.

Time: 5035.53

English is up there, too, actually. Yeah, German as well.

Time: 5039.16

- And in terms of learning multiple languages

Time: 5040.93

during development,

Time: 5041.763

my understanding is that if one

Time: 5043.06

wants to become bilingual or trilingual,

Time: 5045.94

best to learn those languages simultaneously

Time: 5048.52

during development, ideally before age 12,

Time: 5051.37

if one hopes to not have an accent in speaking them later.

Time: 5054.58

Is that correct, or do you want to revise that?

Time: 5056.44

- Well, basically, the earlier,

Time: 5060.19

and the earlier is better,

Time: 5062.59

the more intense it is and the more immersive it is,

Time: 5066.79

the longer, you know, that you can be exposed to that

Time: 5069.85

is really important.

Time: 5070.683

A lot of people can get exposed to it early

Time: 5072.43

and basically lose it.

Time: 5073.48

Even though it's, quote, unquote,

Time: 5075.19

during that sensitive period,

Time: 5076.72

unless it's maintained, it can be very easily lost.

Time: 5080.17

Then I think another aspect of it that's very interesting

Time: 5082.84

is some of the social requirements for it too.

Time: 5087.31

It's pretty clear that you can only go so far

Time: 5091.96

just listening to these sounds from a tape recording

Time: 5094.69

or something like that.

Time: 5096.25

There's something extra about real human interactions

Time: 5100.21

that activates the brain's sensitivity

Time: 5102.37

to different speech sounds

Time: 5103.717

and allows us to become specialized for them

Time: 5105.82

for a given language.

Time: 5107.86

- So returning to what's mapped,

Time: 5110.23

what the representations are in the brain,

Time: 5113.02

I'm starting to get a picture now

Time: 5115.21

based on these plosives and these tha sounds.

Time: 5118.81

And what I find so interesting and logical about that

Time: 5122.65

is it maps to the motor structures

Time: 5124.777

and the actual pronunciation of the sounds,

Time: 5126.88

not necessarily to the meaning of the individual words.

Time: 5131.29

Now, of course, it's related to the meaning

Time: 5132.64

of the individual words,

Time: 5134.29

but it makes good sense to me

Time: 5136.81

why something as complex as language,

Time: 5140.44

both to understand and to generate,

Time: 5142.66

would map to something that is essentially motor in design

Time: 5146.38

because, as you point out, I have to generate these sounds

Time: 5150.34

and I have to hear them generated from others.

Time: 5153.28

However, there's reading and there's writing,

Time: 5156.91

and writing is certainly motor,

Time: 5159.79

reading involves some motor commands

Time: 5161.62

of the eyes and et cetera.

Time: 5164.44

Where do reading and writing come into this picture?

Time: 5167.17

Are they in parallel with, as we would say in neuroscience,

Time: 5170.98

or are they embedded within the same structures?

Time: 5173.98

Are they part of the same series of computations?

Time: 5178.51

- Yeah, so to address the first part

Time: 5184.15

is that we've got this map

Time: 5186.01

of these different parts of consonants and vowels,

Time: 5189.01

and when we look at how they lay out

Time: 5193.45

in this part of the brain that we call Wernicke's area,

Time: 5196.21

we've spent a lot of time really just dissecting this

Time: 5199.24

millimeter by millimeter.

Time: 5201.85

The term that you used is very apropos.

Time: 5203.83

It's salt and pepper. It's not random.

Time: 5206.14

There is this kind of selectivity

Time: 5208.21

to these individual speech sounds.

Time: 5210.01

And one point I want to make about it is this,

Time: 5212.14

is that in English, for example,

Time: 5214.96

there are about 40 different phonemes.

Time: 5216.852

Phonemes are just consonants or vowels

Time: 5218.53

or individual speech segments.

Time: 5221.29

But these articulatory features that you refer to,

Time: 5225.73

for example, the characteristic sounds

Time: 5229.03

that are generated by specific movements in the mouth,

Time: 5233.59

you can more or less reduce that

Time: 5235.12

to about 12 different features.

Time: 5238.63

Okay, these are specific movements of the tongue,

Time: 5241.6

the jaw, the lips, the larynx.

Time: 5244.54

There are about 12 of these movements,

Time: 5247.48

and just like you said, Andrew,

Time: 5249.94

by themselves, they have no meaning.

Time: 5253.03

They're just movements.

Time: 5254.92

But what's incredible about it

Time: 5256.233

is that you take these 12 movements

Time: 5258.52

and you put them in combinations

Time: 5261.01

and you start putting them in sequence.

Time: 5264.91

We as humans use those 12 set features

Time: 5267.88

to generate all words.

Time: 5270.55

And because we can generate

Time: 5271.84

nearly an infinite number of words

Time: 5273.61

with that code of just 12 features,

Time: 5277.03

we have something

Time: 5278.32

that generates essentially all possible meaning

Time: 5281.65

because that's what we do as humans, we generate meanings,

Time: 5284.86

I'm trying to communicate one idea to another,

Time: 5287.08

which, to me, is extraordinary.

Time: 5289.39

A parallel would be, for example, DNA.

Time: 5291.88

There's four base pairs in DNA,

Time: 5294.55

but with those four base pairs in a specific sequence

Time: 5298.27

can generate an entire code for life.

Time: 5301.21

And speech is the same way.

Time: 5302.38

It's like you've got these fundamental elements

Time: 5305.05

that, by themselves, have no meaning,

Time: 5306.58

but when you put them together

Time: 5307.81

give rise to every possible meaning.

Time: 5311.38

So with regard to your second point

Time: 5315.01

about reading and writing, it's a fascinating question.

Time: 5319.12

Speech and language is part of who we are as humans.

Time: 5324.91

That's part of how we evolved,

Time: 5327.25

and it's hardwired

Time: 5330.19

and, you know, molded by experience.

Time: 5334.51

Reading and writing are a human invention.

Time: 5339.97

It's something that was added on

Time: 5341.71

to the architecture of the brain.

Time: 5343.78

And because reading and writing

Time: 5345.94

are fairly recent in human evolution,

Time: 5349.3

it's essentially too quick

Time: 5350.83

for anything to, like, have a dramatic change

Time: 5353.2

in, let's say, a new brain area

Time: 5355.63

or some kind of specialization.

Time: 5357.01

Instead, what happens is that whenever any kind of behavior

Time: 5361.27

becomes ultra specialized in any of us or any organism,

Time: 5366.37

we can sort of take some areas

Time: 5369.55

that are normally involved with vision, for example,

Time: 5372.85

and specialize it for the purpose of reading.

Time: 5375.85

So all of us have a part of our brain

Time: 5378.55

in the back of the temporal lobe

Time: 5379.72

that interfaces with the occipital visual cortex

Time: 5383.68

that we call a visual word form area.

Time: 5385.99

There's actually a part of the brain that is very sensitive

Time: 5390.46

to seeing words, like, either typed or handwritten.

Time: 5395.2

There's a part of the brain that also is sensitive

Time: 5397.96

to seeing things like faces.

Time: 5400.75

So these are things that are all conditioned

Time: 5402.85

on what's important, you know, to survive.

Time: 5408.07

So reading and writing are an invention,

Time: 5410.5

and there are things that have mapped

Time: 5412.96

to functions that the brain already has.

Time: 5417.01

And one of the really important things

Time: 5419.8

about reading and writing

Time: 5421

is that when we learn to read and write,

Time: 5425.53

especially with the reading part,

Time: 5427.3

it maps to the part of the brain

Time: 5429.16

that we've been talking about,

Time: 5430.39

which is the part that's processing speech sounds.

Time: 5434.29

So some of us kind of think about it,

Time: 5436.03

these are two different things.

Time: 5437.02

One is hearing sounds through your ears,

Time: 5440.17

the other is reading

Time: 5441.13

where you're actually seeing things through your eyes

Time: 5444.28

and then getting into the language system.

Time: 5446.11

Well, it turns out that the auditory speech cortex

Time: 5450.79

is the primal and primitive fundamental area

Time: 5454.72

that's really important for speech,

Time: 5455.827

and what happens with the reading

Time: 5457.93

is once it gets through that visual cortex,

Time: 5461.68

it's going to try to map those reading signals

Time: 5465.22

to the part of the brain

Time: 5466.12

that's trying to make sense of sounds,

Time: 5468.82

the sounds of words, what we call phonology.

Time: 5472.57

Now, why is this important?

Time: 5474.28

It has a lot of relevance to how we learn to write.

Time: 5479.98

And in some kids with dyslexia...

Time: 5483.76

Dyslexia is a neurological condition

Time: 5487.03

where a child, in some cases, an adult,

Time: 5490.84

has trouble reading, for example.

Time: 5494.65

And in many of those cases,

Time: 5497.32

it's because that mapping between how we see the words

Time: 5501.94

to the way that the brain processes the sounds

Time: 5505.84

is something different,

Time: 5507.22

it's a little bit different

Time: 5508.39

than people who can read really well.

Time: 5511.81

So when you're reading, a lot of times,

Time: 5513.97

you're actually activating the part of the brain

Time: 5516.28

that is processing the words that you hear.

Time: 5520.6

- What is the current treatment for dyslexia?

Time: 5526.06

I've heard that it's a deficit

Time: 5527.92

in some of the motion processing systems

Time: 5530.26

of the visual system.

Time: 5531.88

You know, people, their eyes are jumping

Time: 5533.41

as opposed to more linear reading across,

Time: 5535.57

or I suppose if it were Chinese it would be...

Time: 5537.76

You know, I don't want to presume

Time: 5538.93

people are always reading English.

Time: 5540.22

Or I suppose if it's Hebrew,

Time: 5541.33

they're going from the opposite side of the page.

Time: 5545.71

What can be done for dyslexia?

Time: 5547.75

And do any of the modern treatments for dyslexia

Time: 5551.08

involve changing things from the speech side

Time: 5554.8

as opposed to just the, quote, unquote, reading side,

Time: 5557.02

given that speech and reading are interconnected?

Time: 5559.33

- Yeah, absolutely.

Time: 5560.35

So, again, I think in the beginning,

Time: 5562.42

people might have thought

Time: 5563.41

this was purely a visual abstraction

Time: 5566.38

or something really just about the visual system,

Time: 5568.75

but there's been more recognition

Time: 5571

that it could be both or it could be either,

Time: 5573.88

depending on the particular instance.

Time: 5577.21

It's very clear that there are many kids with dyslexia

Time: 5580.93

where the problem is a problem of a phonological awareness.

Time: 5585.31

So, you know, it can be very hard to detect

Time: 5589.72

because they may understand the words that you were saying,

Time: 5592.18

but because the brain is so good at pattern recognition,

Time: 5596.08

sometimes even if the individual speech sounds

Time: 5598.27

are not crystal clear, it can compensate that,

Time: 5600.82

so that you can have an individual who can hear the words

Time: 5604.48

but not be able to essentially hear them

Time: 5608.62

when they're reading those same words.

Time: 5610.687

And so what can happen with that

Time: 5613.3

is that you can have this disconnection

Time: 5615.79

between what they're seeing

Time: 5618.19

and what they need in order to hear it as words

Time: 5620.56

and process it as language.

Time: 5622.45

And so skilled readers

Time: 5626.65

usually need that route first.

Time: 5628.6

They've got to map the vision to the sound

Time: 5631.45

in order to get that sort of like foundation.

Time: 5633.52

But then over time, the reading has its direct connection

Time: 5637.3

to the language parts of the brain,

Time: 5639.19

and we don't necessarily always need to map to sounds.

Time: 5643.08

You know, you can basically develop a parallel route,

Time: 5646.12

and we, as readers, actually use both all the time.

Time: 5650.2

So for example, if it's a new word

Time: 5651.97

that you've never seen before,

Time: 5653.65

sometimes you try to, like, pronounce it in your mind,

Time: 5656.65

you know, and try to hear what that word is.

Time: 5659.62

Even though you're not actually saying it,

Time: 5661.21

you're trying to just generate

Time: 5662.32

what those sounds might be like.

Time: 5665.047

And that's the part where we're kind of relying

Time: 5668.47

on how we learn to read in the first place,

Time: 5671.08

which is mapping those word images

Time: 5673.6

to the sounds that, you know, go along with them.

Time: 5676.39

But in other times, if you're a really proficient reader,

Time: 5679.45

you're just seeing the words

Time: 5680.56

and you can map them directly to meaning

Time: 5682.45

without having to go through that process.

Time: 5687.04

- Yeah, I'm a big fan of listening to audiobooks,

Time: 5689.44

and of course I also listen to podcasts quite a lot,

Time: 5693.4

but I also am a strong believer,

Time: 5695.44

based on the research that I've seen,

Time: 5697.54

that reading books, physical books,

Time: 5699.88

it could be on a Kindle, I suppose,

Time: 5701.02

but reading a physical book is useful

Time: 5704.38

for being able to articulate well and structure sentences

Time: 5709.54

and build what are essentially paragraphs,

Time: 5711.37

which is what I'm required to do

Time: 5712.39

when I do solo episodes of the podcast.

Time: 5716.05

I've noticed over the years

Time: 5717.43

as text messaging has become more popular

Time: 5722.23

and there's essentially an erosion of punctuation

Time: 5726.22

or the need to have complete sentences,

Time: 5727.96

and now that's sort of transferred to email as well.

Time: 5731.47

It's become acceptable

Time: 5732.64

to just say, you know, fragmented sentences in email.

Time: 5738.4

It seems likely that it's starting to impact

Time: 5740.89

the way that people speak as well.

Time: 5742.93

And I don't think this has anything to do with intelligence

Time: 5745.12

or education level,

Time: 5747.04

but are you aware of any evidence

Time: 5750.28

that how we read and what we read

Time: 5753.82

and whether or not we consume information

Time: 5756.7

purely through reading or mainly through auditory sources,

Time: 5760.27

does it change the way that we speak?

Time: 5761.71

Because, after all, Wernicke's and Broca's area

Time: 5764.47

and the other auditory and speech production areas

Time: 5767.26

are heavily intermeshed,

Time: 5769.897

and so it would make perfect sense to me that what we hear

Time: 5773.977

and the patterns of sound that are being communicated to us

Time: 5776.47

would also change the way that we speak.

Time: 5778.96

- Yeah, that's a really fascinating point.

Time: 5783.58

There is this idea

Time: 5784.63

that there's, like, this proper way to speak,

Time: 5787.39

like that there's the right way, for example,

Time: 5791.11

what are the appropriate, you know...

Time: 5792.7

Like, for example, in school, you're oftentimes told, like,

Time: 5797.477

"You should say it like this,

Time: 5798.52

not say it like that," you know?

Time: 5800.17

And every language kind of has that.

Time: 5802.06

It turns out that that's really unnatural.

Time: 5805.24

Languages, and speech in particular, change over time,

Time: 5809.44

it evolves, and it can happen very quickly.

Time: 5814.18

You know, the things that we call dialects, for example,

Time: 5816.607

are just different ways of speaking,

Time: 5817.867

and someone can just be in one environment

Time: 5819.91

and change from one dialect to another,

Time: 5822.31

and some people, it kind of is really fixed.

Time: 5826.6

And there is this idea that, you know, like in school

Time: 5831.04

that we're told that there's this right way,

Time: 5833.32

but in reality, that's not true.

Time: 5837.01

Like, language change and speech change

Time: 5839.14

is completely normal and happens all the time,

Time: 5843.13

and it can be really dramatic.

Time: 5845.11

Like, certain cultures and communities,

Time: 5847.33

if they are isolated,

Time: 5849.16

they can develop a whole new language,

Time: 5850.57

a whole new set of words, for example,

Time: 5853.33

and new ways and dialects that are independent from people

Time: 5857.05

to the point where it's unintelligible even to others.

Time: 5861.01

And so the basic idea is that sound change

Time: 5866.14

is part of the way it works,

Time: 5868.84

and the brain is very sensitive to those kind of changes.

Time: 5873.58

- Speaking of learning new languages,

Time: 5876.46

I'm assuming it's possible to learn new languages

Time: 5878.92

throughout the lifespan, correct?

Time: 5881.02

- [Eddie] Yeah.

Time: 5882.01

- I've also heard these kind of fantastical stories

Time: 5885.34

of somebody has a stroke

Time: 5887.35

and then suddenly, spontaneously, can speak French fluently,

Time: 5892.18

whereas prior to the stroke, they could not.

Time: 5894.91

Is there any merit to those stories whatsoever?

Time: 5897.402

[Eddie laughs]

Time: 5898.235

I find it very hard to believe

Time: 5900.31

that there was a complete map representation

Time: 5902.77

of a language in somebody's brain

Time: 5904.27

that they were completely unaware of,

Time: 5906.76

and then because of damage to a brain area,

Time: 5910.63

that capacity to speak that language was somehow unveiled.

Time: 5914.29

It just seems too wild,

Time: 5916.87

and I don't want to say good to be true

Time: 5918.43

because nobody wants a stroke,

Time: 5920.02

but it just seems out outrageously implausible.

Time: 5924.04

- Well, there are aspects of that

Time: 5925.66

that certainly are implausible.

Time: 5927.4

So I don't know of any true case that I've ever seen

Time: 5931.45

or experienced myself or even read about

Time: 5934.3

where, for example, there was an injury to the brain

Time: 5936.91

that resulted in loss of,

Time: 5941.32

well, essentially a gain of function,

Time: 5943.21

meaning, like, just all of a sudden

Time: 5945.97

started speaking another language.

Time: 5948.4

So for example, if you had a stroke

Time: 5949.66

and you never spoke French,

Time: 5951.25

and then you had it

Time: 5952.21

and then all of a sudden you're speaking,

Time: 5954.31

that, I've never heard of and never seen.

Time: 5956.86

However, there is a condition that is well acknowledged

Time: 5961.78

and I have seen one case of this

Time: 5963.04

called a foreign accent syndrome,

Time: 5965.71

which is peculiar because there are people

Time: 5969.58

who have an injury to the part of the brain

Time: 5971.83

where it sounds like they're starting

Time: 5974.62

to speak this other language,

Time: 5976.12

but they're not actually speaking the language,

Time: 5977.94

it just sounds like it.

Time: 5980.62

And this goes back to what we were talking about earlier

Time: 5983.65

about these areas that are really important

Time: 5986.47

for speech control of the vocal tract,

Time: 5989.8

this area in the precentral gyrus.

Time: 5992.59

People have documented

Time: 5994.3

where, you know, patients have had strokes there,

Time: 5997.21

and after that, it sounds like they're speaking Spanish

Time: 6001.74

as opposed to English

Time: 6002.82

or it sounds like they have the intonational properties

Time: 6005.91

of French or Russian

Time: 6008.34

as compared to their original native language.

Time: 6011.61

They're not learning all the rest of it,

Time: 6013.14

like the meaning and the grammar, et cetera,

Time: 6016.65

but they're adopting some of the phonology,

Time: 6020.43

and part of that is just because it's not working

Time: 6023.52

the way it normally does.

Time: 6025.59

So there is something

Time: 6026.423

actually called a foreign accent syndrome

Time: 6028.38

that people can have after a stroke.

Time: 6031.8

- Interesting. I'm curious about auditory memory.

Time: 6034.74

When I was a kid, I used to get into bed at night,

Time: 6037.98

and I'd close my eyes and I would replay conversations

Time: 6042.09

that I had heard during the day or people's voices.

Time: 6044.76

I actually can remember calling your house

Time: 6047.07

when we were young kids,

Time: 6048.39

and because I don't speak any Chinese

Time: 6050.1

but I'd have to ask for you,

Time: 6051.78

I'd say, I think it was, Eddie [speaking Chinese].

Time: 6054.668

- Yeah.

Time: 6055.501

- Yeah, and then whoever answered the phone

Time: 6059.284

would go get you, and then I'd say [speaking Chinese],

Time: 6060.72

which I believe means thank you, right?

Time: 6062.58

That's the total of the Chinese that I speak, by the way,

Time: 6066.06

but I will never forget that.

Time: 6069.06

I'll just never forget it, I hope.

Time: 6070.71

I suppose if I have a stroke or something of that sort,

Time: 6072.81

at some point, I'll forget it

Time: 6073.71

and I won't know that I've forgotten it.

Time: 6075.09

But in all seriousness, I remember that to this day.

Time: 6078.36

I couldn't spell that out, I wouldn't know how,

Time: 6080.61

certainly not in Chinese,

Time: 6082.867

but even a transliteration,

Time: 6084.51

I couldn't do using English letters.

Time: 6090.21

Where are memories of sounds stored?

Time: 6094.89

Because within our days and across our lives,

Time: 6098.07

we have an infinite number of auditory experiences,

Time: 6102.75

just like we have an infinite number of visual experiences.

Time: 6106.2

Where are they stored,

Time: 6107.033

and what is the structure of their storage?

Time: 6108.78

What am I calling upon,

Time: 6111.21

besides, of course, the motor commands

Time: 6113.4

that are required to say what I just said in Chinese,

Time: 6116.04

which I won't repeat again,

Time: 6117.06

'cause I somehow managed to get it right the first time,

Time: 6119.45

or at least not terribly wrong,

Time: 6120.93

then I don't want to botch it the second time.

Time: 6123.6

Where is that stored, and how does that work?

Time: 6126.27

And, more importantly,

Time: 6128.07

as I speak my native language, English,

Time: 6130.23

am I pulling from a memory bank?

Time: 6132.42

Because it doesn't feel like it.

Time: 6134.04

I'm just telling you what I want to say.

Time: 6137.13

I'm doing my best to communicate clearly and succinctly.

Time: 6140.85

I'm usually not so good at the succinct part.

Time: 6142.83

But where is the bank of information?

Time: 6147

On my keyboard on my computer, I have the letters,

Time: 6151.05

and I have certain elements of punctuation and the space.

Time: 6153.78

What am I pulling from? Am I pulling from those plosives?

Time: 6158.94

But if so, how can I do it so quickly?

Time: 6162.39

Even for people that speak slowly,

Time: 6164.46

it appears more or less fluid.

Time: 6167.43

This, to me, is overwhelmingly impressive

Time: 6171.54

that the brain can do that.

Time: 6173.97

How does it do that?

Time: 6176.46

- Well, first of all,

Time: 6178.11

I am impressed that 35 years later... [laughs]

Time: 6181.59

- Well, I had to get ahold of you. [laughs]

Time: 6182.56

- Yeah, so I am impressed, 35 years later,

Time: 6186.09

that you can still remember that.

Time: 6189.93

- But only that.

Time: 6191.46

- That's fine, but I'm still very impressed.

Time: 6196.11

But it clearly was something important to you.

Time: 6199.44

So the short answer is that memory is very distributed.

Time: 6204.69

So it's almost like the question that you asked me

Time: 6207.84

is ill posed 'cause you asked me where?

Time: 6211.95

Well, it's not one specific area.

Time: 6214.08

It's actually really distributed.

Time: 6216.87

It's not just one particular area.

Time: 6218.04

In fact, I'm fairly certain

Time: 6219.87

that if we were to injure that part of the brain

Time: 6221.76

called the Wernicke's area,

Time: 6223.14

you may still even have memories of that.

Time: 6226.44

People can have injuries of Broca's area

Time: 6228.9

or certainly the precentral gyrus

Time: 6230.85

and be able to sing "Happy Birthday," for example,

Time: 6234.96

when it's embedded in melody

Time: 6236.16

or highly rehearsed things like counting

Time: 6239.76

despite not being able to speak, which is incredible, right?

Time: 6243.51

It's like you can see a patient,

Time: 6246.99

for example, who can't really put together a sentence.

Time: 6250.89

You ask them, "How are you feeling today?"

Time: 6251.877

And they can't even utter a word.

Time: 6254.46

But then you ask them to count sometimes,

Time: 6256.287

and they'll get up to any number really.

Time: 6259.17

And so there are some things

Time: 6261.69

that are really built into our motor memory

Time: 6264.33

and it's distributed.

Time: 6265.44

It's not one particular part of the brain,

Time: 6267.51

it's actually multiple areas

Time: 6269.43

where that memory is distributed.

Time: 6270.84

And thank God that's the way it is

Time: 6272.61

because it's very rare

Time: 6277.83

in the kind of surgeries that I do

Time: 6280.47

where you go in, you remove a piece of the brain,

Time: 6283.38

that someone forgets these kind of long-term memories

Time: 6287.04

or these long-term motor skills that they have.

Time: 6291.75

That's very, very rare.

Time: 6293.76

It's the number one question a patient will ask me,

Time: 6296.64

like, "Am I going to be the same?

Time: 6297.81

And am I going to remember, you know, my wife?

Time: 6301.95

Or am I going to remember,

Time: 6304.8

you know, these thoughts of my birthday

Time: 6306.15

when I was 10 years old?"

Time: 6308.97

And I've never really seen that kind of severe amnesia

Time: 6313.83

unless it's a very, very severe injury

Time: 6315.84

that involves almost the entire brain, and thank God.

Time: 6319.41

So a lot of that information

Time: 6321.42

is really distributed across the entire brain.

Time: 6326.19

- Speaking of storage of and ability to speak,

Time: 6331.17

you are doing some amazing work

Time: 6333.81

and have achieved some pretty incredible,

Time: 6337.26

well-deserved recognition for your work

Time: 6339.57

in bringing language out of paralyzed people,

Time: 6343.71

essentially allowing people

Time: 6344.97

who are locked into a paralyzed state

Time: 6347.91

or otherwise unable to articulate speech

Time: 6351.72

using brain-machine interfaces,

Time: 6354.36

essentially translating the neural activity

Time: 6357.36

of areas of the brain that would produce speech

Time: 6360.81

into hardware,

Time: 6363.12

wires and things of that sort,

Time: 6367.26

artificial, non-biological tools

Time: 6369.54

in order to allow paralyzed people to communicate.

Time: 6373.29

We will provide a link

Time: 6374.22

to some of the popular press coverage of that work

Time: 6376.647

and the original papers.

Time: 6377.88

But if you would be so kind

Time: 6379.83

as to tell us what those experiments look like,

Time: 6383.82

who these people are who are locked in

Time: 6386.07

and that you allow to communicate,

Time: 6387.81

and then especially interesting to me,

Time: 6391.05

some of the directions that you're taking this now,

Time: 6393.51

which is beyond just, you know, people being able to think

Time: 6397.26

about what they want to say

Time: 6398.46

and words coming out on a screen or through a microphone,

Time: 6400.92

but actually making the interactions

Time: 6403.11

between these people and the real world

Time: 6405.42

more elaborate and more real.

Time: 6409.35

If that seems mysterious to people,

Time: 6410.79

I'm going to let Eddie tell you what they're doing with this

Time: 6413.25

rather than put any more detail on it.

Time: 6416.25

- Oh, okay. Well, thanks for asking about this.

Time: 6418.92

This has really been some of the exciting recent work

Time: 6423.21

from the lab.

Time: 6424.95

So for the last decade,

Time: 6426.9

we've really been focusing on the basic science,

Time: 6429.63

meaning trying to understand

Time: 6431.4

how the brain extracts and produces speech sounds and words.

Time: 6438.03

We've done a lot of work trying to figure out

Time: 6440.28

how these parts of the brain

Time: 6442.98

control these individual elements

Time: 6444.36

that give rise to all words and meanings.

Time: 6447.12

And so it was about six years ago

Time: 6450.96

where we realized we actually have a pretty good idea

Time: 6455.85

of how this code works.

Time: 6459.48

We had identified all of these different elements

Time: 6462.09

that we could decode in epilepsy patients, for example,

Time: 6465.24

when they had electrodes on the brain

Time: 6467.49

as part of their surgeries,

Time: 6469.26

we could decode all of the different consonants

Time: 6471.57

and vowels of English.

Time: 6472.68

That was about six years ago.

Time: 6474.69

So a natural question was this,

Time: 6477.36

which is if we understand that electrical code,

Time: 6481.02

can we use that to help someone who is paralyzed

Time: 6485.55

and can't get those signals out of the brain

Time: 6488.22

to speak normally?

Time: 6490.65

And that's in the setting of people who are paralyzed.

Time: 6493.56

So there are a series of conditions,

Time: 6496.86

they include things like brain stem stroke.

Time: 6499.02

The brain stem is the part of the brain

Time: 6500.97

that connects the cerebrum, which is the top part,

Time: 6503.91

does our thinking and a lot of the motor control,

Time: 6506.34

speech, language, everything,

Time: 6508.35

and the brain stem is what connects that

Time: 6509.88

to the spinal cord and the nerves

Time: 6511.35

that go out to the face and vocal tract.

Time: 6512.97

So if you have a stroke there,

Time: 6514.92

basically, you could be thinking all the wild, creative,

Time: 6518.46

intelligent thoughts you have in the mind and the cerebrum,

Time: 6521.91

but you can't get them out into words

Time: 6524.7

or you can't get them out to your hand to write them down.

Time: 6528.45

So that's a very severe form of paralysis

Time: 6530.46

called brain stem stroke.

Time: 6532.47

There's another kind of conditions

Time: 6534.48

that we call neurodegenerative

Time: 6536.07

where the nerve cells die basically, or atrophy,

Time: 6540.93

in a condition called ALS,

Time: 6544.68

and that's a very severe form of paralysis.

Time: 6548.46

In its extreme form,

Time: 6549.45

people essentially lose all voluntary movement.

Time: 6552.21

- So Stephen Hawking would be a good example

Time: 6554.07

of someone with ALS, Lou Gehrig's disease?

Time: 6556.14

- He's an example of someone who had ALS

Time: 6558.63

but not a great example of what typical course of ALS.

Time: 6562.14

So for reasons not clear,

Time: 6565.53

the progression of his disease largely stabilized

Time: 6568.38

to the point where he could twitch, you know, a cheek muscle

Time: 6572.04

or move his eyes, let's say.

Time: 6574.86

In most people, it's very rapid,

Time: 6577.8

and many people, they die from it, actually,

Time: 6580.56

you know, within a couple of years of diagnosis, so-

Time: 6583.42

- Yeah, he lived a long time in that-

Time: 6585.33

- He lived a long time-

Time: 6586.532

- That slanted-over state

Time: 6587.88

in his wheelchair. - Right, exactly.

Time: 6590.1

But he wasn't breathing,

Time: 6592.95

you know, through a tube in his throat, for example,

Time: 6595.2

because people with severe ALS,

Time: 6598.35

the muscles to their diaphragm and their lungs

Time: 6601.29

essentially give out as well.

Time: 6602.85

They get weakness there and then they can't breathe anymore.

Time: 6605.28

So that's another form of paralysis.

Time: 6608.85

And so in our field,

Time: 6611.88

these are kind of like the most devastating things

Time: 6613.77

that can happen.

Time: 6615.72

I'm not going to really try to compare, like, what's worse,

Time: 6618.45

you know, having a brain tumor or a stroke, it's all bad.

Time: 6621.9

But this condition of what we call being locked in

Time: 6626.37

refers to this idea

Time: 6627.96

that you can have completely intact cognition

Time: 6633.18

and awareness but have no way to express that,

Time: 6637.59

no voluntary movement, no ability to speak.

Time: 6640.95

And that is devastating

Time: 6642.24

because psychologically and socially,

Time: 6645.09

you know, you're completely isolated.

Time: 6647.1

That's what we call locked-in syndrome,

Time: 6649.08

and it's devastating.

Time: 6650.25

I've seen that throughout my career,

Time: 6652.14

and it's really heartbreaking

Time: 6654.15

because you know that the person is there

Time: 6659.91

but you can't see, they can't communicate.

Time: 6662.85

So we've been studying this patterning

Time: 6667.02

of electrical activity for consonants and vowels,

Time: 6669.66

and essentially, once we figured out a lot of these codes

Time: 6673.14

for the individual phonetic elements,

Time: 6676.71

we took a little bit of a detour,

Time: 6680.46

or at least part of the lab

Time: 6681.48

started to focus on this very specific question.

Time: 6684.6

For people who have these kind of paralysis,

Time: 6687.12

could we intercept those signals

Time: 6691.14

from the brain, the cerebral cortex,

Time: 6693.84

as someone is trying to say those words,

Time: 6696.96

and then can we intercept them

Time: 6698.49

and then have them taken out of the brain through wires

Time: 6702.99

to a computer that are going to interpret those signals

Time: 6706.17

and translate them into words?

Time: 6708.9

So about three years ago,

Time: 6712.89

we started a clinical trial.

Time: 6714.51

It's called the BRAVO trial. It's still underway.

Time: 6717.45

And the first participant in the BRAVO trial

Time: 6720.69

was a man who had been paralyzed for 15 years.

Time: 6726.66

When he was about 20 years old,

Time: 6728.01

he came to the United States,

Time: 6730.08

was actually working in the Sonoma area

Time: 6733.71

and he was in a car accident,

Time: 6735.66

and he actually walked out of the hospital

Time: 6738.93

day after that car accident,

Time: 6741.21

but the next day, had a complication related to it

Time: 6745.32

where he had a very large stroke in the brain stem,

Time: 6749.55

and that turned out to be devastating.

Time: 6751.98

He didn't wake up from that stroke for about a week.

Time: 6754.89

He was in a coma for about a week.

Time: 6757.14

And when he woke up from that coma,

Time: 6758.85

he realized that he couldn't speak or move his arms or legs.

Time: 6763.11

And as he told me or communicated to us,

Time: 6767.76

that was absolutely devastating.

Time: 6769.23

He wanted really to die at that time.

Time: 6772.35

- Could he blink his eyes or move his mouth in any way?

Time: 6775.17

- He could blink his eyes,

Time: 6776.91

he had some limited mouth movements

Time: 6778.32

but couldn't produce any intelligible speech.

Time: 6781.26

It was, like, completely slurred and incomprehensible.

Time: 6785.46

And he survived this injury.

Time: 6788.37

A lot of people who have that kind of stroke

Time: 6789.78

just don't survive.

Time: 6791.49

But he survived.

Time: 6792.66

And I also realized that he's just an incredible person,

Time: 6797.07

like a force of nature in terms of his optimism,

Time: 6800.64

in terms of his ability to make friends

Time: 6802.44

despite his condition.

Time: 6803.4

The way he actually communicates,

Time: 6805.68

because he has a little bit of residual neck movements,

Time: 6808.14

is that he improvised and had his friends

Time: 6812.34

basically put a stick attached to his baseball cap.

Time: 6817.02

And because he could move his neck,

Time: 6818.73

he would essentially type out letters on a keyboard screen

Time: 6823.26

to get out words.

Time: 6824.093

In fact, this is how he communicated was through a device

Time: 6827.22

that he would essentially peck out letters one by one

Time: 6830.49

by moving his neck

Time: 6831.96

to control this stick attached to his baseball cap.

Time: 6834.84

- How many years did he use that method of communication?

Time: 6838.47

- [Eddie] For about 15 years.

Time: 6839.76

He hadn't really spoken for about 15 years.

Time: 6842.22

- Oh, goodness.

Time: 6843.053

- Yeah. So it was a devastating injury.

Time: 6846.81

But, you know, there's something to be said

Time: 6850.5

about the human spirit,

Time: 6852.75

and if there's anyone who embodies it, it is Pancho,

Time: 6856.02

that's his nickname, the first participant in our trial.

Time: 6860.43

He has that human spirit, he persevered,

Time: 6862.44

and, in fact, you know, could thrive

Time: 6864.6

in his community, basically, and friends,

Time: 6866.94

being able to communicate

Time: 6867.773

in this very slow and inefficient way.

Time: 6870.96

Maybe part of that spirit is why he volunteered

Time: 6873.78

to be the first person in this trial.

Time: 6876.12

It was a clinical trial, an experiment. It was a study.

Time: 6879.63

This is not an approved therapy by any means.

Time: 6882.69

This was really something that had not been done before,

Time: 6885.99

and we had a lot of ideas about it, but we didn't know.

Time: 6890.067

You know, we had proven a lot of this could be true

Time: 6892.59

in some people who are normally speaking,

Time: 6895.05

but to actually put it into someone who's paralyzed,

Time: 6897.12

number one, where we don't know the code is the same.

Time: 6900.48

Number two is someone who's not been speaking for 15 years,

Time: 6904.92

whether those signals are actually still there or not.

Time: 6909.72

So it was part of a clinical trial.

Time: 6911.55

It was, you know, something that our hospital

Time: 6915.51

and also the FDA, you know, had to approve

Time: 6917.94

and looked at very carefully,

Time: 6919.11

but given a lot of the work that we had done,

Time: 6921.21

there was some basis for why this might work.

Time: 6924.93

And so about two and a half years ago,

Time: 6928.32

we did a surgery where we implanted electrodes

Time: 6932.34

onto the parts of the brain that we've been talking about,

Time: 6935.04

these areas that control the vocal tract,

Time: 6937.62

the areas that control the larynx,

Time: 6939.03

the areas that control the lips and tongue and jaw movements

Time: 6943.2

when we normally speak.

Time: 6944.28

These are areas that presumably may be active,

Time: 6947.1

that was our hope, in his brain,

Time: 6949.11

but he just couldn't get those out

Time: 6951

to control his mouth in a normal way.

Time: 6955.11

And he underwent a surgery,

Time: 6956.31

a brain surgery where we put an electrode array

Time: 6959.37

and we connected it to a port that was screwed to his skull.

Time: 6965.43

And the port actually goes through his scalp,

Time: 6968.28

and he's lived with this now for the last three years.

Time: 6971.79

It is a risk of infection.

Time: 6973.32

These ports eventually have to become wireless

Time: 6975.63

in the future.

Time: 6976.463

But we've figured out a way to keep that port there

Time: 6979.56

where we can essentially connect him to a computer

Time: 6983.55

through that port.

Time: 6986.4

So he has an electrode array that's implanted

Time: 6989.22

over the part of his brain that's important for speech,

Time: 6992.76

it's connected to a port,

Time: 6995.37

and then we connect a wire to that port that translates

Time: 6999.33

those what we call analog, you know, brainwaves

Time: 7003.17

and converts them into digital signals.

Time: 7006.17

And then a computer takes those digital signals

Time: 7009.95

from those individual sites from the speech cortex

Time: 7013.46

and translates those into words.

Time: 7016.07

- Can you describe for us the first time that Pancho spoke

Time: 7020.9

through this engineered device?

Time: 7023.72

What was that experience like for you?

Time: 7025.67

And, at least from what he conveyed to you,

Time: 7027.92

what was that experience like for him?

Time: 7030.38

Because as somebody who was essentially locked-in,

Time: 7032.36

except for this, you know, rather crude pecking device,

Time: 7035.36

although I'm thoroughly impressed by how adaptive

Time: 7039.62

or adaptable Pancho was,

Time: 7041.327

and his friends engineering that device for him

Time: 7043.85

is really nothing short of clever

Time: 7047.9

because otherwise he would be truly locked in, right?

Time: 7050.96

But what was that moment like? I can only imagine.

Time: 7054.47

- That moment was incredible.

Time: 7056.9

It was truly incredible

Time: 7058.94

to be able to see him try to get out a word

Time: 7061.52

that was, for all practical purposes, unintelligible,

Time: 7066.29

but to be able to take the brain activity

Time: 7068.21

and to translate it into text on a screen.

Time: 7071.558

And that's what we did.

Time: 7072.391

We took those brainwaves,

Time: 7073.4

we put them through a machine learning

Time: 7076.07

or artificial intelligence algorithm

Time: 7078.14

that can pick up these very, very subtle patterns,

Time: 7081.5

you can't actually see them with your eye,

Time: 7084.44

in the brain activity and translate those into words.

Time: 7088.01

And I remember seeing this happening for the first time.

Time: 7092.097

You know, it doesn't happen, like, immediately.

Time: 7094.58

This is something that took weeks to train the algorithm

Time: 7098.96

to interpret it correctly.

Time: 7102.35

But what was incredible about it was to see how he reacted.

Time: 7106.73

And he would be prompted to say a given word,

Time: 7111.56

like, you know, outside, for example,

Time: 7115.25

and then he would think about it, try to say it,

Time: 7117.77

and finally those words would appear on the screen.

Time: 7121.91

And what was really amazing about it

Time: 7123.77

was you could really tell

Time: 7126.8

that he, like, got a kick out of that

Time: 7128.45

because he would start to giggle,

Time: 7132.53

you know, his body would shake in a way

Time: 7134.99

and his head would shake in a way

Time: 7136.22

that he would start to giggle, and that was cool to see.

Time: 7140.15

But then I also realized that when he was giggling,

Time: 7143.42

it kind of screwed up the next word's decoding.

Time: 7145.908

[Andrew laughs] [Eddie laughs]

Time: 7147.47

- Is that a bug you've since fixed?

Time: 7149.72

- No, we haven't fixed that.

Time: 7151.01

- Interesting.

Time: 7151.843

- We haven't fixed that,

Time: 7152.676

so it's easier just to tell him to stop giggling.

Time: 7155.145

[Andrew laughs] [Eddie laughs]

Time: 7156.62

- So what was the first word that he said?

Time: 7158.81

- Well, I think one of the first sentences

Time: 7160.7

that he put together

Time: 7161.81

was, you know, can you get my family outside?

Time: 7165.59

- Meaning get them out of the room? [laughs]

Time: 7166.79

- [Eddie] No, no.

Time: 7167.63

- All these years, he wanted to get away from his family?

Time: 7169.55

- No, I think what he meant was, can you get them-

Time: 7171.59

- Bring them in, yeah. - Bring them in.

Time: 7172.79

And so the way this worked

Time: 7175.04

was we trained this computer to recognize 50 words.

Time: 7179.72

We started with a very small vocabulary

Time: 7182.48

that's expanding as we speak.

Time: 7184.28

I think that this is just a matter of time

Time: 7186.32

before these vocabularies become much, much larger.

Time: 7190.28

But we started with a 50-set of words.

Time: 7192.62

We created essentially all the possible sentences

Time: 7196.22

that you could generate from those 50 words.

Time: 7199.25

Why that was important

Time: 7200.39

was you can use all those possible sentences

Time: 7203.78

to create a computational model, computer model

Time: 7206.81

of all the different word combinations

Time: 7209.21

to give different sentences given those 50 words,

Time: 7212.96

and then you can essentially do what we call autocorrect.

Time: 7216.53

It's the same kind of thing that we do

Time: 7218.66

when you're texting, for example.

Time: 7220.61

You get the wrong letter in there,

Time: 7223.22

but your phone actually knows,

Time: 7225.98

you know, because of its context what to correct it.

Time: 7229.07

So because the decoding's not 100% correct all the time,

Time: 7232.85

in fact, it's far from that,

Time: 7234.98

it's really helpful

Time: 7236.03

to have these other features like autocorrect,

Time: 7238.16

the stuff that we use routinely now with texting

Time: 7240.95

that makes it correct and then updates it.

Time: 7243.74

So it's a combination of a lot of things.

Time: 7245.9

It's the AI that is translating

Time: 7247.91

those brain activity patterns,

Time: 7250.19

but it's also things that we've learned

Time: 7252.5

from speech and speech technologies

Time: 7255.08

that, you know, we put all together

Time: 7257

and then all of a sudden, it starts to work.

Time: 7259.43

And so we were really excited

Time: 7261.77

because that was the first time that someone was paralyzed

Time: 7264.44

and could create words and sentences

Time: 7267.98

that was just decoded from the brain activity.

Time: 7270.5

- Incredible, and I know you're very humble,

Time: 7273.5

but I'm going to embarrass you by saying

Time: 7274.7

I always knew you were destined for great things

Time: 7277.52

since the early age of nine when we first became friends.

Time: 7281.48

But when I read the news coverage of your work with Pancho

Time: 7286.43

and the release of this language

Time: 7289.07

from this locked-in patient,

Time: 7291.2

it literally, you know, it brought tears to my eyes

Time: 7293.57

because, you know, it's an interesting thing

Time: 7295.76

as fellow neuroscientists, right,

Time: 7297.86

we explore the brain and we try and find mechanisms,

Time: 7301.67

and we try and compare those to what other people find

Time: 7304.16

and find truths and principles and build up from those,

Time: 7307.04

but pretty rarely is there a case

Time: 7310.28

where that route of exploration

Time: 7313.67

leads to something of clinical significance

Time: 7316.85

within one's own lifetime.

Time: 7318.53

I mean, that's the reality of science,

Time: 7320.18

and oftentimes it's a very distributed process.

Time: 7323.3

But in this case, it's been a magnificent thing

Time: 7326.3

to see you move along this trajectory

Time: 7329.45

parsing these language and speech areas

Time: 7331.22

and then to also do the clinical work in parallel.

Time: 7334.22

Speaking of which, these days,

Time: 7337.4

we hear a lot about Neuralink, Elon Musk's company.

Time: 7341.6

A neurosurgeon that came up briefly through my lab,

Time: 7344.51

but I can't take any credit for what he knows or does,

Time: 7346.85

which is Matt MacDougall is the neurosurgeon at Neuralink.

Time: 7349.73

There's some other excellent neuroscientists there

Time: 7351.44

and engineers there.

Time: 7352.64

We hear a lot about Neuralink

Time: 7353.72

because while brain-machine interface

Time: 7357.83

of the sort that you do and that other laboratories do

Time: 7360.89

has been going on for a long time,

Time: 7363.5

there's been some press around Neuralink

Time: 7367.1

about the promise of what brain-machine interface could do.

Time: 7370.46

For instance, early in our discussion,

Time: 7372.38

you talked about how, you know, language is constrained

Time: 7374.75

by these sound waves,

Time: 7375.68

and typically, it's a few people communicating

Time: 7378.17

or one person with many people

Time: 7380.42

through a podcast, for instance, or a speech.

Time: 7383.54

But the idea has been thrown out there

Time: 7385.73

that through the use of stimulating chips

Time: 7388.55

or through other brain-machine devicing

Time: 7392

that perhaps one could internalize

Time: 7395.18

50 conversations in parallel, right?

Time: 7397.94

50X communication,

Time: 7401

or that the memory systems could be augmented

Time: 7404.21

to remember 10 times as much information

Time: 7406.66

or even twice as much information in a given period of time.

Time: 7409.97

My understanding of what they're doing at Neuralink,

Time: 7412.37

which is admittedly crude and from the outside,

Time: 7415.76

a few discussions with people there,

Time: 7417.26

is that they too are going to pursue clinical goals first,

Time: 7421.55

things like trying to generate smooth movement

Time: 7423.92

in a Parkinsonian patient,

Time: 7426.56

trying to adjust movement patterns

Time: 7429.29

in someone with Huntington's disease, for instance,

Time: 7431.63

things of that sort

Time: 7433.82

before they embark on the more sci-fi-like explorations

Time: 7439.7

of 50Xing communication or doubling memory capacity

Time: 7443.75

and these kinds of things.

Time: 7444.583

Although, I don't know,

Time: 7445.416

they may be doing all of those things in parallel.

Time: 7448.25

What are your thoughts about super capabilities of the brain

Time: 7453.56

or, I don't even know what word to use,

Time: 7456.29

you know, supercharging the brain,

Time: 7457.58

you know, giving the brain functions

Time: 7459.44

for which we've never observed before

Time: 7461.9

in human history, right?

Time: 7463.28

We have our Einsteins and our Feynmans and our Merzenichs

Time: 7466.82

and, you know, it's unclear

Time: 7468.44

who to put in along that line side by side,

Time: 7470.9

but there are some, the Michael Jordans and et cetera,

Time: 7474.23

but we've never heard of or seen somebody

Time: 7477.56

who can jump 20 feet in the air.

Time: 7480.08

Or we've heard of people who have photographic memories,

Time: 7484.37

but I don't know that we are aware

Time: 7486.14

of any human being in history

Time: 7488.06

who could memorize the entire Library of Congress

Time: 7491.66

or all the works within the Vatican within an hour.

Time: 7495.29

Anyway, you get the idea.

Time: 7497.33

What are your thoughts about manipulating neural circuitry

Time: 7501.74

to achieve suprahuman or superhuman

Time: 7505.1

or supraphysiological functions?

Time: 7508.25

Are we there, or should we even be thinking about that?

Time: 7510.47

Is it possible given that neurons simply communicate

Time: 7513.5

through electrical activity

Time: 7514.52

and electrical activity can be engineered

Time: 7516.53

outside of the brain?

Time: 7517.94

How do you think about it?

Time: 7519.47

And here, we don't even have to think

Time: 7520.49

about Neuralink in particular.

Time: 7522.41

It's just but one example of companies

Time: 7525.32

and people in laboratories

Time: 7526.43

that are quite understandably considering all this.

Time: 7530.48

- Well, it's a really interesting time right now.

Time: 7534.62

The science has been going on for decades.

Time: 7537.62

The work that we've done

Time: 7538.82

in this field that you call brain-machine interface

Time: 7542.24

has been going on for a while.

Time: 7544.04

And a lot of the early work

Time: 7545.69

was just trying to restore things like arm movement

Time: 7548.87

or having people or monkeys

Time: 7550.61

control a computer cursor, for example, on the screen.

Time: 7553.55

That's been going on for decades.

Time: 7556.31

What's been really new is that industry is now involved

Time: 7561.437

and some of this is now becoming commercialized,

Time: 7563.69

and we're starting to see us now cross over to this field

Time: 7568.22

where it's no longer just research,

Time: 7571.07

that we're talking about medical products that are designed

Time: 7574.4

to be, you know, surgically implanted in some cases.

Time: 7577.73

You know, there's people doing this kind of work

Time: 7579.41

non-invasively as well that don't require surgery.

Time: 7583.79

The specific question that you are asking about

Time: 7586.82

is an area that we call augmentation.

Time: 7590

So can you build a device

Time: 7594.47

that essentially enhances someone's ability

Time: 7597.53

beyond supranormal, super memory,

Time: 7602.24

super communication speeds beyond speech, for example,

Time: 7609.59

I guess superior precision athletic abilities?

Time: 7616.1

I think that these are very serious kind of questions

Time: 7618.47

to be asking now

Time: 7619.79

because, as you mentioned, the pathway so far

Time: 7623.75

is really to focus on these medical applications.

Time: 7627.89

I personally don't think that we've thought enough actually

Time: 7630.68

about what these kind of scenarios are going to look like,

Time: 7633.89

and I don't think we've thought through

Time: 7634.94

all the ethical implications of what this means

Time: 7638.33

for augmentation in particular.

Time: 7643.01

There's part of this that is not new at all.

Time: 7646.82

Humans throughout history have been doing things

Time: 7650.9

to augment our function,

Time: 7653.54

coffee, nicotine, all kinds of things,

Time: 7656.96

all kinds of medications that cross over

Time: 7659.78

from medical to consumer.

Time: 7662.15

That is everywhere.

Time: 7664.25

So the pursuit of augmentation or performance or enhancement

Time: 7669.11

is really not a new thing.

Time: 7671.84

The questions really,

Time: 7673.52

as they relate to neurotechnologies, for example,

Time: 7676.61

have to do with the invasive nature.

Time: 7679.88

For example, if these technologies

Time: 7681.77

require surgery, for example,

Time: 7683.84

to do something that is not for a medical application.

Time: 7687.92

Again, there, that is not exactly new territory either.

Time: 7692.18

People do that routinely for cosmetic kind of procedures

Time: 7695.81

for physical appearance, not necessarily cognitive.

Time: 7698.87

So I do think that, provided the technology

Time: 7703.52

continues to emerge the way that it does,

Time: 7706.73

that it's going to be around the corner,

Time: 7709.52

and it probably is not going to be in ways

Time: 7710.9

that are super obvious.

Time: 7712.52

I don't think it's going to be like,

Time: 7714.38

can we easily memorize every fact in the world,

Time: 7717.23

but in forms that are going to be much more incremental

Time: 7720.26

and maybe more subtle.

Time: 7722.9

In many ways, we already have that now.

Time: 7724.88

Like, for example, you don't have to have a neural interface

Time: 7727.25

embedded in your brain to get information,

Time: 7730.67

essentially access to all information in the world.

Time: 7733.13

You just have to have, you know, your iPhone.

Time: 7735.8

Whether you could do it faster through a brain interface,

Time: 7742.25

I definitely wouldn't rule that out.

Time: 7744.44

But think about this,

Time: 7745.94

that the systems that we have already

Time: 7748.22

to speak and to communicate

Time: 7749.78

have evolved over, you know, thousands and millions of years

Time: 7754.55

and they're supported by neural structures

Time: 7757.22

that have bandwidth of millions of neurons.

Time: 7761.42

There is no technology that exists right now

Time: 7764.96

that people are thinking about that are in commercial forms,

Time: 7767.39

certainly not even in research labs,

Time: 7769.79

that come anywhere close

Time: 7772.07

to what has been evolved for those natural purposes.

Time: 7775.85

So I'm essentially saying two sides of this,

Time: 7779.45

which is we're already getting into this now,

Time: 7783.17

this is not new territory,

Time: 7784.85

this topic of augmentation, both physical and cognitive,

Time: 7788.87

we've already surpassed that.

Time: 7789.83

That's part of what humans do in general.

Time: 7793.76

But we are entering this area of, like, enhanced cognition,

Time: 7799.4

these areas that I think the technology

Time: 7801.59

is going to be the rate-limiting step in how far it can go,

Time: 7804.62

and we have not had the full conversations

Time: 7806.72

about, number one, is this what we actually want?

Time: 7811.25

Is this going to be good for society?

Time: 7812.93

Who gets access to this technology?

Time: 7815.54

These are all things

Time: 7816.41

that are going to become real-world problems.

Time: 7819.59

- There's certainly a lot to consider.

Time: 7821.33

In thinking about augmentation

Time: 7823.46

and another theme that I've yet to ask you about

Time: 7826.85

but I'm extremely curious about,

Time: 7828.26

which is facial expressions.

Time: 7830.6

Before we talk about the relationship

Time: 7832.19

between the musculature of the face and language

Time: 7834.92

and the communication of emotion,

Time: 7837.74

I'd love for you to, if you would, touch on a little bit

Time: 7841.07

of what you're doing with patients like Pancho

Time: 7843.05

to move beyond somebody who's locked in

Time: 7846.29

being able to type out words on a screen

Time: 7848.57

with their thoughts.

Time: 7850.73

There's a rich array of information

Time: 7853.13

contained within the face and facial expression.

Time: 7855.86

And while somebody like Pancho

Time: 7857.63

going from having to, you know, be completely locked in

Time: 7861.02

to being able to peck out letters on a keyboard

Time: 7863.75

to being able to just think of those letters

Time: 7865.46

and having them spelled out,

Time: 7866.39

that's a tremendous set of leaps forward towards normalcy.

Time: 7872.39

It's still far and away different

Time: 7873.83

than Pancho speaking with his mouth,

Time: 7876.29

which I think, knowing some people who are restricted,

Time: 7880.94

who are quadriplegic,

Time: 7881.93

you know, a lot of what they struggle with in the real world

Time: 7884.09

is actually a height difference sometimes

Time: 7885.83

because they're seated while other people are standing.

Time: 7888.609

We don't often think about this,

Time: 7889.85

but to always have to look up to communicate with people

Time: 7891.95

is a very different interface in the world.

Time: 7894.65

They manage quite well, of course.

Time: 7895.88

But could you tell us what you're doing

Time: 7898.34

in terms of merging the brain-machine interface

Time: 7901.4

with extraction of speech signals

Time: 7903.23

from people who are locked-in like Pancho

Time: 7905.63

with facial expressions?

Time: 7907.07

- Sure, yeah.

Time: 7908.15

Well, like we described before, progress is being made.

Time: 7914.63

The proof of principle is out there

Time: 7916.31

that you can decode speech.

Time: 7917.81

That will continue to optimize,

Time: 7919.25

and I'm very confident that that's going to improve

Time: 7922.43

very, very quickly in the coming years

Time: 7924.92

to the point where it's like,

Time: 7926.6

you know, not just a small vocabulary,

Time: 7928.4

but a large vocabulary and at reasonable rates,

Time: 7932.24

at a level that's going to be really helpful.

Time: 7934.07

I'm very optimistic about that.

Time: 7936.65

I think it's the right time

Time: 7937.82

to start really thinking about a broader vision

Time: 7940.67

of what communication really is.

Time: 7942.65

So for example, I'm here with you in person.

Time: 7946.61

We could have done this virtually, probably,

Time: 7949.1

it's pretty easy to do that.

Time: 7950.36

We could've recorded this really separate,

Time: 7952.61

but there is something

Time: 7953.6

about being able to actually see your expressions

Time: 7956.9

and to understand other forms of communication.

Time: 7961.46

So another really important one is nonverbal,

Time: 7966.5

the expressions that you're making.

Time: 7968.27

You know, for example,

Time: 7969.71

if you have a quizzical look on your face

Time: 7971.3

if I'm saying something not clear,

Time: 7973.28

that's a sign to me that I need to rephrase it

Time: 7975.83

or to say it in a different way

Time: 7977.3

or to slow down, for example.

Time: 7980.21

Or if there's something that really excites you,

Time: 7982.34

I want to continue to say more about it

Time: 7984.11

and talk more in detail,

Time: 7986.45

you know, essentially about a given thing.

Time: 7988.91

So facial expressions actually are a really important part

Time: 7993.35

of the way we speak, and there's two things.

Time: 7996.38

It's not just the expressions

Time: 7998.21

of, like, how you're feeling and perceiving what I'm saying,

Time: 8001.57

but it's also seeing my mouth move

Time: 8004.957

and your eyes actually seeing my mouth move

Time: 8007.24

and my jaw move in a particular way

Time: 8009.13

that actually allows you to hear those sounds better.

Time: 8014.35

So having both the visual information

Time: 8016.93

but also the sounds go into your brain

Time: 8019.75

is going to improve intelligibility, also make it more natural.

Time: 8023.71

- And memory for what is spoken?

Time: 8026.74

- Perhaps.

Time: 8027.573

- So here's a call for people not just listening to podcasts

Time: 8030.25

but watching them and listening to them on YouTube,

Time: 8032.74

I suppose, if we were to sort of translate this

Time: 8035.23

to the real world. - Exactly, exactly.

Time: 8037.387

And the reason why we're also very interested

Time: 8039.76

in this idea of not just having text on a screen,

Time: 8044.71

but essentially a fully computer-animated face

Time: 8049.66

like an avatar of the person's speech movements

Time: 8053.89

and their facial expressions

Time: 8056.14

is going to be a more complete form of expression.

Time: 8060.82

Now, you can imagine right now,

Time: 8063.1

that might just be someone looking at a computer screen

Time: 8065.59

interpreting these signals,

Time: 8066.88

but I think the way things are going,

Time: 8069.76

in the next couple of years,

Time: 8071.17

a lot more of our social interactions, more than even now,

Time: 8074.95

are going to move into this digital virtual space.

Time: 8077.95

And, of course, most people are thinking

Time: 8080.32

about what that means for most consumers,

Time: 8083.38

but it also has really important implications

Time: 8085.36

for people who are disabled, right,

Time: 8087.13

and how are they going to participate in that.

Time: 8090.4

And so we are thinking really about,

Time: 8092.14

for people like Pancho and other people who are paralyzed,

Time: 8095.92

what other forms of BCI can we do

Time: 8100.66

in order to help improve their ability to communicate?

Time: 8103

So one is essentially building out more holistic avatars,

Time: 8106.99

you know, things that can essentially decode,

Time: 8111.52

you know, essentially their expressions

Time: 8114.13

or the movements associated with their mouth and jaw

Time: 8118.15

when they actually speak to improve that communication.

Time: 8121.54

- So do you envision a time not too long from now

Time: 8124.3

where instead of tweeting out something in text,

Time: 8126.94

my avatar will,

Time: 8128.32

I'll type it out, but my avatar will just say it,

Time: 8131.17

it'll be an image of my avatar saying whatever it is

Time: 8134.23

I happen to be tweeting at that moment.

Time: 8135.615

- That's what we're working on, yeah.

Time: 8136.66

So I don't think that...

Time: 8138.76

That is going to happen and it's going to happen soon,

Time: 8140.98

and there's a lot of progress in that.

Time: 8143.293

And, again, we're just trying to enrich the field,

Time: 8148.69

you know, of communication expression

Time: 8151.57

to make it more normal.

Time: 8152.737

And we actually think that having that kind of avatar

Time: 8156.76

is a way of getting feedback to people learning how to speak

Time: 8159.64

through a speech neuroprosthetic,

Time: 8162.19

that's the device that we call,

Time: 8163.3

it's a speech neuroprosthetic,

Time: 8165.4

that that is going to be the way that can help people

Time: 8168.31

learn how to do it the quickest.

Time: 8169.9

Not necessarily, like, trying to say words

Time: 8171.88

and having it come on a screen,

Time: 8173.68

but actually have people embody,

Time: 8176.47

feel like it's part of themselves

Time: 8178.39

or that they are directly controlling

Time: 8181.09

that illustration or animation.

Time: 8184

- This idea of an avatar

Time: 8186.88

speaking out what we would otherwise write

Time: 8190.51

is fascinating to me.

Time: 8191.41

On Instagram, I post videos, I don't filter them,

Time: 8195.55

but I know there's a lot of discussion nowadays

Time: 8198.04

about people using filters to make their skin look different

Time: 8201.16

or the lighting look different,

Time: 8202.3

a lot of filtering and also the use of captions,

Time: 8204.97

so that essentially what you end up with

Time: 8206.32

is somewhere between an actual raw video of what was spoken

Time: 8211.15

and an avatar version of it.

Time: 8212.6

- Yeah. - I mean, if the mismatch

Time: 8214.27

between what's spoken and what's in the caption

Time: 8215.92

is too dramatic, then it doesn't quite work.

Time: 8218.77

But I watch these carefully when people use captions,

Time: 8222.01

and oftentimes there's a smoothing

Time: 8224.56

of what was said into the captions

Time: 8225.82

so it seems much more succinct and accurate.

Time: 8228.19

Oftentimes, the reverse is also true

Time: 8230.23

where the caption is inaccurate

Time: 8231.61

and then it creates this kind of jarring mismatch.

Time: 8234.61

In any case, I think this aspect in the clinical realm

Time: 8237.46

of using an avatar to allow people like Pancho

Time: 8239.77

to essentially be a face

Time: 8241.33

that communicates through spoken language

Time: 8243.43

from an avatar that looks like them

Time: 8245.5

is fascinating and indeed important,

Time: 8248.41

and I think how avatars emerge in social spaces

Time: 8252.34

is going to be really fascinating.

Time: 8254.71

I get a lot of questions about stutter.

Time: 8257.14

I think that for people who have a stutter,

Time: 8259.38

it is itself anxiety-provoking.

Time: 8263.26

Is stutter related to anxiety?

Time: 8265.9

If one has a stutter, what can they do?

Time: 8270.85

Does stutter reflect some underlying neurologic phenomenon

Time: 8275.56

that might distinguish

Time: 8277.48

between one kind of stutter and another?

Time: 8279.79

What can people with stutter do

Time: 8281.23

if they'd like to relieve their stutter?

Time: 8282.7

- Yeah, great question.

Time: 8285.7

Stutter is a condition

Time: 8288.58

where the words can't come out fluently.

Time: 8291.61

So you have all the ideas, you've got the language intact.

Time: 8294.64

You know, remember, we talked about this distinction

Time: 8296.2

between language and speech.

Time: 8298.27

Stuttering is a problem of speech, right?

Time: 8300.28

So the ideas, the meanings, the grammar, it's all there,

Time: 8304.51

and people stutter

Time: 8305.44

but they can't get the words out fluently.

Time: 8308.32

So that's a speech condition,

Time: 8310.96

and, in particular, it's a condition

Time: 8312.85

that affects articulation,

Time: 8315.91

specifically about controlling the production of words

Time: 8320.17

in this really coordinated kind of movements

Time: 8322.42

that have to happen in the vocal tract

Time: 8324.46

to produce fluent speech.

Time: 8327.52

And stuttering is a condition

Time: 8330.88

where people have a predisposition to it,

Time: 8335.71

so there is an aspect of stuttering,

Time: 8338.65

you are a stutterer or you're not a stutterer, right?

Time: 8342.25

But people who stutter don't stutter all the time either,

Time: 8346.12

so you could be a stutterer

Time: 8347.38

who stutters at some times but not others.

Time: 8351.22

And, really, the main link between stuttering and anxiety

Time: 8355.51

is that anxiety can provoke it and make it worse.

Time: 8360.64

That's certainly true,

Time: 8363.16

but it's not necessarily caused by anxiety.

Time: 8366.69

It can essentially trigger it or make it worse,

Time: 8370.72

but it's not the cause of it, per se.

Time: 8373.39

So the cause of it is still really not clear,

Time: 8376.48

but it does have to do with these kind of brain functions

Time: 8380.23

that we've been talking about earlier,

Time: 8382.33

which is that in order to produce normal fluent speech,

Time: 8388.06

we're not even conscious of what is going on

Time: 8390.73

in our mouths, in our larynx.

Time: 8393.1

We're not conscious,

Time: 8393.933

and if we were, we would not be able to speak

Time: 8395.59

because it's too complex, it's too precise.

Time: 8398.83

It's something that we have really developed

Time: 8402.82

the abilities to do, and we do it naturally, right?

Time: 8404.95

It's part of our programming

Time: 8406.09

and part of what we learn inherently,

Time: 8408.67

you know, just through exposure.

Time: 8411.4

So stuttering is essentially a breakdown

Time: 8416.89

at certain times

Time: 8419.14

in that machinery being able to work

Time: 8421.27

in a really coordinated way.

Time: 8423.85

You can think about, you know, the operations of these areas

Time: 8426.61

that are controlling the vocal tract.

Time: 8428.5

Let's say speech is like a symphony.

Time: 8430.06

In order for it to come out normally,

Time: 8431.77

you've got to have not just one part, the larynx,

Time: 8435.76

but the lips, the jaw.

Time: 8437.02

They can't be doing their own thing.

Time: 8439.03

They have to be very, very precisely activated

Time: 8443.89

and very, very precisely controlled

Time: 8445.51

in a way to actually create words.

Time: 8448.143

And so in stuttering,

Time: 8449.17

there's a breakdown of that coordination.

Time: 8451.66

- If somebody has a stutter,

Time: 8453.13

is it better to address that early in life

Time: 8455.92

when there's still neuroplasticity that is very robust?

Time: 8459.76

And if so, what's the typical route for treatment?

Time: 8462.4

I have to imagine it's not brain surgery typically.

Time: 8465.82

I'm guessing there are speech therapists

Time: 8467.32

that people can talk to,

Time: 8470.961

and they can help them work out where they're getting stuck

Time: 8474.13

and the relationship to anxiety.

Time: 8475.9

- Yeah, exactly.

Time: 8476.733

I mean, part of it is about that anxiety,

Time: 8479.08

but a lot of it really has to do with therapy

Time: 8483.91

to sort of like work through

Time: 8486.1

and think of tricks basically sometimes to create conditions

Time: 8490.54

where you can actually get the words to come out.

Time: 8493.33

Some forms of stuttering are really initiation problems.

Time: 8496.66

Just getting started itself is very hard.

Time: 8499.39

You want to start with initial vowel or consonant,

Time: 8503.29

but it won't emit.

Time: 8505.78

And so a lot of the therapy is really just focusing

Time: 8509.53

on, like, how do you create the conditions,

Time: 8512.59

you know, for that to happen?

Time: 8514.69

There's another aspect to it that I find very interesting

Time: 8517.57

is that the feedback,

Time: 8519.7

essentially, what we hear ourselves say, for example,

Time: 8525.01

and every time that I say a word,

Time: 8528.07

I'm also hearing what I'm saying,

Time: 8529.45

so that's what we call auditory feedback.

Time: 8532

That turns out to be very important,

Time: 8533.68

and sometimes when you change that,

Time: 8535.84

it can actually change the amount someone stutters

Time: 8538.24

for better or for worse.

Time: 8539.92

And it's giving us a clue that the brain

Time: 8543.82

is not just focused on sending the commands out,

Time: 8547.3

but it's also possibly interacting

Time: 8549.58

with the part that is hearing the sounds,

Time: 8552.07

and there's something might be going on in that connection

Time: 8554.9

that breaks down when stuttering occurs.

Time: 8557.65

So there are individuals that are stutterers

Time: 8561.13

but they don't stutter all the time.

Time: 8563.2

In those instances,

Time: 8564.22

there's something happening in those particular moments

Time: 8567.46

where this very, very precise coordination

Time: 8571

needs to happen in the brain

Time: 8572.65

in order to get the words out fluently.

Time: 8574.99

- We've talked a little bit about caffeine

Time: 8576.55

and why you avoid it.

Time: 8578.77

Because your work requires such precision and calm,

Time: 8581.77

and, frankly, to me,

Time: 8583.57

it seems like you're running a lot of operations,

Time: 8586.03

no pun intended, in parallel when you're doing surgery,

Time: 8589.06

not just thinking about where to direct the instruments,

Time: 8591.13

but also thinking like a chess player

Time: 8593.5

several steps down the line

Time: 8594.91

what could happen, what if, if-then type thinking.

Time: 8598.12

What are some of the other practices and tools that you use

Time: 8601.3

to put yourself into state for optimal neurosurgery

Time: 8605.2

or for, you know, thinking about scientific problems

Time: 8608.77

for that matter?

Time: 8609.73

We keep threatening to go running together,

Time: 8611.38

but I know you run, correct?

Time: 8613.9

- Yeah.

Time: 8615.1

- Do you find running to be an essential part

Time: 8617.5

of your state regulation?

Time: 8620.32

- Absolutely, yeah.

Time: 8621.94

So for me, most exercise that I do,

Time: 8625.81

I really don't do for physical reasons.

Time: 8628.18

I do it for mental reasons.

Time: 8630.82

I can tell, for example,

Time: 8632.86

if I don't go on a run or a swim just after a day or two,

Time: 8638.17

and it can have translation,

Time: 8639.61

for example, in the way I feel in the operating room

Time: 8642.4

or even the way I interact with other people.

Time: 8644.8

So there's no question

Time: 8646.57

that, you know, the mind and body are deeply connected,

Time: 8649.87

and for me personally,

Time: 8651.76

being able to have opportunity to disconnect for a while,

Time: 8655.81

it turns out to be really, really important.

Time: 8658.45

Now, the operating room, for me, is another space,

Time: 8664.12

kind of like running or swimming,

Time: 8666.43

where I'm disconnected from the rest of the world.

Time: 8670.21

I don't bring my cell phone into the operating room.

Time: 8674.32

I'm disconnected from the external world

Time: 8677.11

for that time that I'm in the surgery,

Time: 8679.33

and all I am doing is just focusing.

Time: 8681.88

Now, that doesn't mean that I'm having complex thoughts

Time: 8684.97

or doing something very complicated.

Time: 8687.31

Sometimes it is like that, but it's not always like that.

Time: 8691.72

There are things that we do in surgery

Time: 8693.49

that are, like, routine and rote

Time: 8697.42

and are from muscle memory.

Time: 8699.07

So, for example, suturing skin

Time: 8701.17

or doing certain kinds of dissection

Time: 8704.23

or drilling part of the bone, for example,

Time: 8706.09

these are all things that become very rote after a time.

Time: 8709.27

So, for me, even being in the operating room

Time: 8712.27

actually can sometimes fulfill that purpose.

Time: 8714.28

So I really look forward to being in the operating room

Time: 8718.6

because that intense focus

Time: 8722.56

allows me to sort of disconnect

Time: 8724.33

from all the other things that I'm worrying about,

Time: 8726.22

you know, that are happening out in the outside world.

Time: 8730.12

You know, we all have those kind of things that happen,

Time: 8732.31

and I'm certainly no exception to that.

Time: 8735.4

But, strangely, the operating room, for me, is a sanctuary.

Time: 8740.02

I love being there

Time: 8741.94

because we have some control over the environment.

Time: 8748.51

I know what is there, I know the anatomy of the brain,

Time: 8754.21

my motions are going through routines.

Time: 8757.63

And so for me, that's not actually very different

Time: 8760.57

than going on a run

Time: 8761.77

and letting my, you know, legs move in specific ways.

Time: 8765.88

It's just the same thing for my hands.

Time: 8768.52

- Do you listen to music or audiobooks when you run,

Time: 8771.28

or are you divorced from technology when you run?

Time: 8774.61

- Well, music helps me, like, just stay motivated

Time: 8777.94

and distracted from being out of breath and other things.

Time: 8781.57

And for me, it's a way to just catch up

Time: 8783.85

with, like, the world.

Time: 8785.41

So sometimes I do, but I do notice

Time: 8788.08

that, like, I don't run as well, for example.

Time: 8790.63

In the operating room, it's a little different.

Time: 8792.67

You know, different surgeons have preferences.

Time: 8795.52

I'm more of the camp

Time: 8798.82

where I don't like any distraction whatsoever.

Time: 8801.22

I like people to be able to hear the words that I'm saying

Time: 8804.31

without having background noise.

Time: 8809.29

I don't really think about relying on music or other things

Time: 8812.17

to try to put me in a state of mind.

Time: 8814.3

You know, I think just being there alone

Time: 8817.15

and just, you know, trying to treat it the way it is,

Time: 8820.33

it's a sacred moment where someone's life

Time: 8823.27

is really directly under your hands,

Time: 8826.21

That enough kind of focuses me very quickly,

Time: 8829.27

and I like that.

Time: 8831.19

It really detaches me from a lot of the things

Time: 8833.47

that are preoccupying me,

Time: 8835.3

and for those couple of hours that we have a surgery,

Time: 8838.87

we're just focused on one thing only.

Time: 8841.18

- That's fantastic.

Time: 8842.41

Again, I think of, in the range of brain explorers,

Time: 8845.74

the neurosurgeons, those of your profession,

Time: 8848.95

are, to me, like the astronauts of neuroscience

Time: 8851.92

because they're really going

Time: 8853.12

to the farthest reaches possible,

Time: 8855.37

and they're testing and probing

Time: 8856.75

and really at the front edge of discovering from the species

Time: 8860.65

that we arguably care about the most, which is humans.

Time: 8865.21

Eddie, I have to say,

Time: 8868.18

from the first time we became friends 38 years ago...

Time: 8872.59

- Something like that.

Time: 8873.423

- Something like that.

Time: 8875.38

I'm almost reluctant to say,

Time: 8877.63

so I only reveal it in part that Eddie and I became friends

Time: 8880.99

because both he and I shared a love of birds,

Time: 8885.04

and we had a club at our school

Time: 8887.98

of which there were only two members, Eddie and I.

Time: 8891.1

- Small club.

Time: 8891.933

- Small club.

Time: 8892.78

There was one honorary member,

Time: 8894.28

and there were certain requirements for being in this club

Time: 8896.38

that we won't reveal.

Time: 8897.37

We took a pact of secrecy,

Time: 8899.05

and we're going to obey that pact of secrecy.

Time: 8901.96

But to be sitting here with you today,

Time: 8904.81

for me, is a absolute thrill,

Time: 8908.53

not just because we've been friends for that long

Time: 8910.21

or that we got reacquainted

Time: 8911.53

through literally the halls of medicine and science,

Time: 8914.08

but because I really do see what you're doing

Time: 8917.29

as really representing that front, absolute cutting edge

Time: 8923.02

of exploration and application.

Time: 8925.03

I mean, the story of Pancho is but one of your many patients

Time: 8928.36

that has derived tremendous benefit from your work.

Time: 8932.35

And now as the chair of a department,

Time: 8933.7

you, of course, work alongside individuals

Time: 8938.41

who are also doing incredible work

Time: 8939.61

in the spinal cord, et cetera.

Time: 8941.77

So on behalf of myself and everyone listening,

Time: 8944.41

I just really want to thank you for joining us today

Time: 8947.32

to share this information.

Time: 8948.64

We will certainly have you back

Time: 8949.96

because there's an entire list of other questions

Time: 8952.54

we didn't have time to get to,

Time: 8954.13

but also just for the work you do, it's truly spectacular.

Time: 8958.03

- Andrew, thanks so much.

Time: 8960.91

You know, I'm very humbled basically by what you just said,

Time: 8963.85

and I feel that it's really an extraordinary honor actually

Time: 8968.44

and privilege, you know, to be here with you

Time: 8970.27

and reconnect and talk about all these ideas.

Time: 8973.78

It's probably not random,

Time: 8975.46

you know, that we ended up in similar spots and interests.

Time: 8979.54

I think when we were kids,

Time: 8980.65

you know, it starts with some deep interests

Time: 8983.83

and kind of nerding out on topics,

Time: 8987.37

and it's probably not a coincidence,

Time: 8990.52

you know, that we have such deep interest in this work now.

Time: 8994.84

I just feel really lucky to be able to do what I do.

Time: 8997.39

It's fun every day, almost every day,

Time: 9000.93

be able to go to work and take care of folks

Time: 9003.48

and learn at the same time and then just close the loop,

Time: 9006.54

you know, how do we apply the knowledge

Time: 9008.25

that we learn one day to someone who comes in next week?

Time: 9011.67

It's really fun.

Time: 9012.6

And we don't know everything, we're not even close to it,

Time: 9017.19

but the journey to figure this out,

Time: 9021.18

it's really extraordinary.

Time: 9022.59

I mean, it's like you said,

Time: 9027.51

it's exploring new lands.

Time: 9029.67

Literally in the operating room

Time: 9031.5

when I'm looking at the exposed cortex trying to understand

Time: 9035.61

is it safe to walk down this part of the cortical landscape

Time: 9040.65

or this other trail?

Time: 9042.57

You know, which one is going to be the one

Time: 9044.46

that is going to be safe

Time: 9045.6

versus the other that results in paralysis

Time: 9048.09

and inability to talk?

Time: 9050.85

Well, maybe I shouldn't call it fun,

Time: 9052.2

but it's very important, too,

Time: 9056.04

in addition to being really intellectually important

Time: 9058.41

for how we understand how the brain works.

Time: 9060.72

And so, yeah, I feel just really lucky

Time: 9062.43

to be in that opportunity.

Time: 9063.9

- And we're lucky to have you

Time: 9065.34

being one of the people doing it, so thank you ever so much.

Time: 9068.43

- Thanks.

Time: 9069.42

- Thank you for joining me today

Time: 9070.56

for my discussion with Dr. Eddie Chang.

Time: 9072.87

If you'd like to learn more about his research

Time: 9074.88

into the neuroscience of speech and language

Time: 9077.16

and bioengineering, his treatment of epilepsy

Time: 9080.37

and other aspects and diseases and disorders of the brain,

Time: 9083.7

please check out the links in our show note captions.

Time: 9086.01

We have links to his laboratory website,

Time: 9088.11

his clinical website, and other resources

Time: 9090.78

related to his critical research as well.

Time: 9093.24

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Time: 9094.073

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Time: 9096.03

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Time: 9097.74

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Time: 9100.32

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Time: 9103.17

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Time: 9104.79

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Time: 9107.73

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Time: 9109.8

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Time: 9110.76

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Time: 9112.89

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Time: 9117.33

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Time: 9120.39

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Time: 9122.37

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Time: 9128.52

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Time: 9158.1

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with the information covered on the Huberman Lab podcast

Time: 9241.29

but that's often distinct from information

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on the Huberman Lab podcast.

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Again, it's hubermanlab on all social media channels.

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Thank you once again for joining me today

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for the discussion about the neuroscience of speech,

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language, epilepsy, and much more with Dr. Eddie Chang.

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And as always, thank you for your interest in science.

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