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Essentials: The Science of Learning & Speaking Languages | Dr. Eddie Chang

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Essentials: The Science of Learning & Speaking Languages | Dr. Eddie Chang

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739 segments

0:00

Welcome to Huberman Lab Essentials,

0:02

where we revisit past episodes for the

0:04

most potent and actionable science-based

0:06

tools for mental health, physical

0:08

health, and performance.

0:11

I'm Andrew Huberman and I'm a professor

0:13

of neurobiology and opthalmology at

0:16

Stamford School of Medicine. And now for

0:18

my discussion with Dr. Eddie Chang.

0:20

Eddie, welcome.

0:21

>> Hi. Hi, Andrew.

0:23

>> Great to be here with you. Your main

0:25

focus these days is the neurobiology of

0:28

speech and language. So for those that

0:30

aren't familiar, could you please

0:32

distinguish for us speech versus

0:34

language in terms of whether or not

0:36

different brain areas control them? When

0:38

I think about language, I think about

0:39

words and just talking. If I sit down to

0:41

do a long podcast or I think about

0:43

asking you a question, I don't even

0:44

think about the words I want to say very

0:46

much. I mean, I have to think about them

0:48

a little bit. one would hope, but I

0:50

don't think about individual syllables

0:51

unless I'm trying to, you know, accent

0:54

something or it's a word that I have a

0:56

particular difficulty saying or I want

1:00

to change the cadence, etc. So, what in

1:02

the world is contained in these brain

1:04

areas? What is represented? Um, to me is

1:07

is perhaps one of the most interesting

1:09

questions and I know this lands square

1:11

in your wheelhouse.

1:12

>> Sure. Let's get into this uh Andrew

1:15

because this is one of the most exciting

1:18

stuff that's happening right now is

1:19

understanding how the brain processes

1:21

these exact questions. And speech

1:24

corresponds to the communication signal.

1:27

It corresponds to me moving my mouth and

1:30

my vocal tract to generate words. And

1:33

you're hearing these as an auditory

1:35

signal. Language is something much

1:38

broader. So it refers to what you're

1:40

extracting from the words that I'm

1:42

saying. We call that pragmatics and sort

1:44

of are you getting the gist of what I'm

1:46

saying? There's another aspect of it

1:47

that we call semantics. Do you

1:49

understand the meaning of these words

1:52

and uh the sentences? There's another

1:54

part that we call syntax which refers to

1:56

how the words are assembled in a

1:58

grammatical form. So those are all

2:00

really critical parts of language and

2:03

speech is just one form of language.

2:06

There's many other forms like sign

2:08

language, uh, reading. Those are all

2:10

important modalities for reading. Our

2:13

research really focuses on this area

2:16

that we're calling speech. Again, the

2:18

production of this audio signal, which

2:22

you can't see, but your microphones are

2:25

picking up. There are these vibrations

2:27

in the air that are created by my vocal

2:30

tract that are picked up by the

2:31

microphone in the case of this

2:33

recording, but also picked up by the

2:35

sensors in your ear. The very tiny

2:37

vibrations in your uh ear are picking

2:40

that up and translating that into

2:42

electrical activity. It's such a complex

2:45

feat. Some people would say it's the

2:46

most complex motor thing that we do as a

2:48

species is is just speaking. not you

2:51

know the extreme feats of acrobatics or

2:54

athleticism but speaking

2:56

>> well and especially when uh one observes

2:58

you know uh opera or um people who you

3:01

know freestyle rappers you know and of

3:04

course it's not just the lips it's the

3:06

tongue

3:07

>> and you've mentioned two other

3:08

structures ferinx and larynx are the

3:10

main ones that um can you tell us just

3:12

just educate us at a a superficial level

3:15

what this ferinx and larynx do

3:17

differentially because I think most

3:19

people aren't going to Okay, sure. I'll

3:21

talk primarily about the larynx here for

3:24

a second, which is that if you think

3:26

about when we're speaking, really what

3:28

we're doing is we're shaping the breath.

3:30

So, even before you get to the larynx,

3:31

you got to start with the expiration. We

3:34

fill up our lungs and then we push the

3:36

air out. That's a normal part of

3:38

breathing. What is really amazing about

3:40

speech and language is that we evolved

3:43

to take advantage of that normal

3:44

physiologic thing at a larynx. And what

3:48

the larynx does is that when you're

3:50

exhaling, it brings the vocal folds

3:52

together. Some people call them vocal

3:54

cords. They're not really cords. They're

3:56

really vocal folds. They're two pieces

3:58

of tissue that come together and a

4:00

muscle brings them together. And then

4:01

what happens is when the air comes

4:03

through the vocal folds, when they're

4:05

together, they vibrate at really high

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frequencies, like 100 to 200 hertz. And

4:09

the reason why men and women generally

4:11

have different voice qualities is it has

4:14

to do with the size of the larynx and

4:16

the shape of it. Okay? So in general men

4:20

have a larger voice box or larynx and

4:23

the vibrating frequency the resonance

4:25

frequency of the vocal folds when the

4:27

air comes through them is about 100

4:29

hertz for men and about 200 for women.

4:32

So you take a breath in. As the air is

4:35

coming out, the vocal folds come

4:36

together. The air goes through. That

4:39

creates the sound of the voice that we

4:41

call voicing. It's not just your voice

4:44

characteristic. It's the energy of your

4:47

voice. It's coming from the larynx

4:50

there. It's a noise. And then it's the

4:52

source of the voice. And then what

4:54

happens is that energy that sound goes

4:58

up through the parts of the vocal tract

5:01

like the fairings into the oral cavity

5:04

which is your mouth and your tongue and

5:06

your lips. And what those things are

5:08

doing is that they're shaping this the

5:10

air in particular ways that create

5:14

consonants and vowels. That's what I

5:16

mean by shaping the breath. It just

5:18

starts with this exhalation. You

5:21

generate the voice in the larynx and

5:23

then everything above the larynx is

5:25

moving around just like the way my mouth

5:27

is doing right now to shape that air

5:30

into particular patterns that you can

5:33

hear is words immediately makes me

5:38

wonder about more um primitive or

5:41

non-learned vocalizations like crying or

5:44

laughter. Are those produced by the

5:47

language areas or do they have their own

5:49

unique neural structures?

5:51

>> We call those vocalizations. A

5:53

vocalization is basically where someone

5:55

can create a sound like a cry or a moan

5:59

that kind of sound. And it also involves

6:03

the exhalation of air. It also involves

6:06

some phonation at the level of larynx

6:09

where the vocal folds come together to

6:11

create that audible sound. But it turns

6:13

out that those are actually different

6:15

areas. So people who have injuries in

6:18

the speech and language areas oftentimes

6:20

can still moan. They can still vocalize.

6:23

And it is a different part of the brain.

6:25

I would say an area that uh even

6:27

non-human primates have that can be

6:30

specialized, you know, for vocalization.

6:32

It's a different form of communication

6:34

than than words, for example. Speaking

6:37

of storage of and ability to speak, you

6:40

are doing some amazing work and have

6:42

achieved some um pretty incredible

6:45

well-deserved recognition for your work

6:48

in bringing language out of paralyzed

6:51

people. essentially allowing people who

6:53

are locked in to a paralyzed state or

6:56

otherwise unable to articulate speech

6:59

using brain machine interface

7:02

essentially translating the neural

7:04

activity of areas of the brain that w

7:06

would produce speech into hardware

7:10

artificial non-biological tools in order

7:12

to allow paralyzed people to

7:14

communicate.

7:15

>> So there are a series of conditions um

7:18

they include things like brain stem

7:20

stroke. The brain stem is the part of

7:22

the brain that connects the cerebrum

7:24

which is the top part does our thinking

7:26

and a lot of the motor control, speech,

7:28

language, everything. And the brain stem

7:29

is what connects that to the spinal cord

7:31

and the nerves that go out to the face

7:32

and vocal tract. So if you have a stroke

7:34

there, you could be thinking all the

7:36

wild creative intelligent thoughts you

7:38

have in the mind and the cerebrum, but

7:40

you can't get them out into words or you

7:42

can't get them out to your hand to write

7:44

them down. So that's a very severe form

7:47

of paralysis called brain stem stroke.

7:49

There's another kind of conditions that

7:51

we call neurogenerative where the nerve

7:53

cells die basically or atrophy and a

7:57

condition called uh ALS. That's a very

8:00

severe form of paralysis. In its extreme

8:02

form, people essentially lose all

8:04

voluntary movement. The muscles to their

8:06

diaphragm and their lungs essentially

8:08

give out as well. They get weakness

8:10

there and then they can't breathe

8:11

anymore. In our field, these are kind of

8:12

like the most devastating things that

8:14

can happen. This condition of what we

8:16

call being locked in refers to this idea

8:20

that you can have completely intact

8:23

cognition and awareness but have no way

8:26

to express that. No voluntary movement,

8:30

no ability to speak and that is

8:32

devastating because uh psychologically

8:34

and socially you know you're completely

8:36

isolated. That's what we call locked in

8:38

syndrome and it's devastating. So we've

8:41

been studying this patterning of

8:44

electrical activity for consonants and

8:46

vowels. And essentially once we figured

8:48

out a lot of these codes for the

8:51

individual phonetic elements, part of

8:53

the lab started to focus on this very

8:55

specific question for people who have

8:57

these kind of paralysis. Could we

9:01

intercept those signals from the brain,

9:04

the cerebral cortex, as someone is

9:06

trying to say those words? And then can

9:09

we intercept them and then have them

9:12

taken out of the brain through wires to

9:15

a computer that are going to interpret

9:17

those signals and translate them into

9:19

words. So we started a clinical trial.

9:23

It's called the Bravo trial. It's still

9:24

underway. And the first participant in

9:26

the Bravo trial was a man who had been

9:29

paralyzed for 15 years. He was in a car

9:32

accident. He actually walked out of the

9:34

hospital the day after that car

9:35

accident, but the next day had a

9:37

complication related to it where he had

9:40

a very large stroke in the brain stem

9:43

and that turned out to be devastating.

9:46

He didn't wake up from that stroke for

9:48

about a week. He was in a coma for about

9:50

a week and when he woke up from that

9:52

coma, he realized that he couldn't speak

9:54

or move his arms or legs. As he told me

9:57

or communicated to us, that was

9:59

absolutely devastating. He wanted really

10:02

to die at that time.

10:03

>> Could he blink his eyes or move his

10:04

mouth in any way?

10:06

>> He could blink his eyes. He had some

10:08

limited mouth movements but couldn't

10:09

produce any intelligible speech. It was

10:12

like completely slurred and

10:13

incomprehensible. He survived this

10:16

injury. A lot of people who have that

10:17

kind of stroke just don't survive. The

10:19

way he actually communicates because he

10:21

has a little bit of residual neck

10:23

movements is that he improvised and had

10:27

his friends basically put a stick

10:30

attached to his baseball cap because he

10:33

could move his neck. He would

10:34

essentially type out letters on a

10:37

keyboard screen to get out words. In

10:39

fact, this is how he communicated was

10:42

through a device that he would

10:43

essentially peck out letters one by one

10:46

by moving his neck to control this stick

10:48

attached to his baseball cap. He hadn't

10:50

really spoken for about 15 years.

10:52

>> Oh, goodness.

10:53

>> Yeah. So, it was part of a clinical

10:55

trial. It was, you know, something that

10:57

our hospital and also the FDA, you know,

11:00

had to approve and looked at very

11:02

carefully. But given a lot of the work

11:03

that we had done, there was some basis

11:05

for for why this might work. And so we

11:09

did a surgery where we implanted

11:12

electrodes

11:13

onto these areas that control the vocal

11:16

tract, the areas that control the

11:17

larynx, the areas that control the lips

11:20

and tongue and jaw movements when we

11:22

normally speak. These are areas that

11:24

presumably may be active. That was our

11:26

hope. And he underwent a surgery, a

11:29

brain surgery. We put an electrode array

11:31

and we connected it to a port that was

11:34

sculled to uh screwed to his skull. And

11:36

the port actually goes through his

11:38

scalp. And he's lived with this now for

11:39

the last three years. So he has an

11:42

electrode array that's implanted over

11:44

the part of the brain that's important

11:46

for speech. It's connected to a port.

11:49

And then we connect a wire to that port

11:52

that translates those uh what we call

11:55

analog, you know, brain waves and

11:57

converts them into digital signals. We

12:00

put them through a machine learning or

12:02

artificial intelligence algorithm that

12:04

can pick up these very very subtle

12:07

patterns. You can't actually see them

12:08

with your eye uh in in the brain

12:11

activity and translate those into words.

12:14

And this is something that took weeks to

12:17

train the algorithm to interpret it

12:19

correctly. But what was incredible about

12:22

it was to see how he reacted. He would

12:25

be prompted to say a given word like you

12:27

know outside for example and then he

12:30

would think about it try to say it and

12:32

finally those words would appear on the

12:34

screen. And what was really amazing

12:36

about it was you could really tell that

12:39

he like got a kick out of that because

12:41

you know his body would shake in a way

12:43

and his head would shake in a way that

12:44

he would start to giggle. That was cool

12:46

to see, but then I also realized that

12:48

when he was giggling, it kind of screwed

12:51

up the next words. Decoding.

12:54

>> Is that a bug you've since uh fixed?

12:56

>> No, we haven't fixed that. It's easier

12:58

just to tell him to stop giggling. The

13:01

way this worked was we trained uh this

13:04

computer to recognize 50 words. We

13:06

started with a very small vocabulary

13:08

that's expanding as we speak. I think

13:10

that this is just a matter of time

13:12

before these vocabularies become much

13:14

much larger. But we started with a 50

13:17

set of words. We created essentially all

13:21

the possible sentences that you could

13:22

generate from those 50 words. Why that

13:24

was important was you can use those all

13:27

those possible sentences to create a

13:29

computational model computer model of

13:32

all the different word combinations to

13:34

give different sentences given those 50

13:36

words. And then you can essentially do

13:39

what we call autocorrect. It's the same

13:41

kind of thing that we do when you're

13:43

texting, for example, you get the wrong

13:45

letter in there. Your phone actually

13:47

knows, you know, because it's context

13:49

what to correct it. So because the

13:52

decoding is not 100% correct all the

13:54

time. In fact, it's far from that. It's

13:57

really helpful to have these other

13:58

features like autocorrect, the stuff

14:00

that we use routinely now with texting

14:02

that makes it correct and then updates

14:05

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

14:06

things. It's the AI that is translating

14:09

those brain activity patterns, but it's

14:11

also things that we've learned from

14:13

speech and speech technologies that, you

14:16

know, you put all together and then all

14:17

of a sudden it starts to work. That was

14:19

the first time that someone was

14:21

paralyzed and could create words and

14:24

sentences uh that was just decoded from

14:26

the brain activity.

14:27

>> These days, we hear a lot about neural

14:29

link, Elon Musk's company. While brain

14:32

machine interface of the sort that you

14:34

do and that other laboratories do has

14:37

been going on for a long time, there's

14:39

been some press around neural link about

14:42

the promise of what brain machine

14:43

interface could do. What are your

14:45

thoughts about manipulating neural

14:47

circuitry to achieve suprahuman or

14:51

superhuman or super physiological

14:53

functions? And here we don't even have

14:55

to think about neural link in

14:56

particular. It's just but one example of

14:59

companies and people in laboratories

15:01

that are quite understandably

15:03

considering all this.

15:04

>> It's a really interesting time right

15:06

now. The science has been going on for

15:09

decades. The work that we've done in

15:11

this field that you call brain machine

15:13

interface. It's been going on for a

15:15

while and a lot of the early work was

15:17

just trying to restore things like arm

15:19

movement or having people or monkeys

15:22

control a computer cursor for example on

15:24

the screen. That's been going on for

15:26

decades. What's been really new is that

15:29

industry is now involved and some some

15:31

of this now becoming commercialized and

15:33

we're starting to see us now cross over

15:36

to this field where it's no longer just

15:39

research that we're talking about

15:41

medical products um that are designed to

15:43

be you know surgically implanted in some

15:46

cases you know there's people doing this

15:48

kind of work non-invasively as well that

15:50

don't require surgery. The specific

15:52

question that you were asking about is

15:54

an area that we call augmentation. So

15:57

can you build a device um that

16:00

essentially enhances someone's ability

16:03

beyond superan normal, super memory,

16:09

super communication speeds, beyond

16:11

speech for example, superior

16:15

uh precision athletic abilities. I think

16:17

that these are very serious kind of

16:19

questions to be asking now because as

16:22

you mentioned the pathway so far is

16:25

really to focus on these medical

16:27

applications.

16:29

I personally don't think that we've

16:31

thought enough actually about what these

16:33

kind of scenarios are going to look like

16:35

and I don't think we've thought through

16:36

all the ethical implications of what

16:38

this means for augmentation in

16:40

particular. There's part of this that is

16:43

not new at all. Humans throughout

16:46

history have been doing things to

16:49

augment our function. Coffee, nicotine,

16:52

all kinds of medications that cross over

16:54

from medical to consumer that is

16:58

everywhere. So the pursuit of

17:00

augmentation or performance or

17:02

enhancement is really not a new thing.

17:05

The questions really as they relate to

17:08

neurochnologies for example have to do

17:11

with the invasive nature. For example,

17:14

if these technologies require surgery,

17:17

for example, to do something that is not

17:19

for a medical application. Again, there

17:22

that is not exactly new territory

17:24

either. People do that routinely for

17:27

cosmetic kind of procedures for physical

17:30

appearance, not necessarily cognitive.

17:32

So, I do think that provided the

17:36

technology continues to emerge the way

17:39

that it does, that it's going to be

17:42

around the corner. And it probably is

17:43

not going to be in ways that are super

17:45

obvious. I don't think it's going to be

17:47

like can we easily memorize every fact

17:49

in the world, but in forms that are

17:52

going to be much more incremental and

17:54

maybe more subtle. In many ways, we

17:56

already have that now. Like for example,

17:58

you don't have to have a neural

17:59

interface embedded in your brain to get

18:01

information essentially access to all

18:03

information in the world. You just have

18:05

to have, you know, your iPhone. Whether

18:07

you could do it faster through uh a

18:10

brain interface, I definitely wouldn't

18:12

rule that out. But think about this that

18:14

the systems that we have already to

18:17

speak and to communicate have evolved

18:19

over, you know, thousands and millions

18:22

of years and they're supported by neural

18:24

structures that have bandwidth of

18:27

millions of neurons.

18:30

There's no technology that exists right

18:33

now that people are thinking about that

18:35

are in commercial form. sternly not even

18:37

in research labs that come anywhere

18:39

close to what has been evolved for those

18:42

natural purposes. So I'm essentially

18:46

saying two sides of this which is we're

18:49

already getting into this now. This is

18:52

not new territory. This topic of

18:54

augmentation both physical and

18:56

cognitive. We've already surpassed that.

18:58

That's part of what humans do in

18:59

general. But we are entering this area

19:02

of like enhanced cognition. um these

19:06

areas that I think the technology is

19:08

going to be the rate limiting step and

19:09

how far we can go and we have not had

19:12

the full conversations about number one

19:14

is this what we actually want is this

19:16

going to be good for society who gets

19:18

access to this technology these are all

19:21

things that are going to become real

19:22

world problems could you tell us what

19:24

you're doing in terms of merging the

19:26

brain machine interface with extraction

19:28

of speech signals from people who are

19:30

locked in like Poncho with facial

19:32

expressions

19:33

>> sure yeah I'm here with you in person.

19:35

We could have done this virtually

19:37

probably. It's pretty easy to do that.

19:39

We could have recorded this really

19:41

separate. But there is something about

19:43

being able to actually see your

19:44

expressions and to understand other

19:48

forms of communication. So, another

19:50

really important one is nonverbal the

19:53

expressions that you're making. For

19:55

example, if you have a quizzical look on

19:56

your face, if I'm saying something not

19:58

clear, that's a sign to me that I need

20:00

to rephrase it or to say it in a

20:02

different way or to slow down. Facial

20:05

expressions actually are really

20:06

important part of the way we speak. And

20:08

there's two things. It's not just the

20:10

expressions of like how you're feeling

20:12

and perceiving what I'm saying. But it's

20:15

also seeing my mouth move in your eyes.

20:19

actually see my mouth move and my jaw

20:21

move in a particular way that actually

20:23

allows you to hear those sounds better.

20:26

So having both the visual information

20:28

but also the sounds go into your brain

20:31

is going to improved intelligibilityly

20:33

also make it more natural. And the

20:36

reason why we're also very interested in

20:38

this idea of not just having text on a

20:41

screen, but essentially a fully computer

20:45

animated face like an avatar of the

20:49

person's speech movements and their

20:52

facial expressions is going to be a more

20:54

complete form of expression. Now you can

20:57

imagine right now that might just be

21:00

someone looking at a computer screen

21:01

interpreting these signals. But I think

21:04

the way things are going in the next

21:06

couple of years a lot more of our social

21:08

interactions more than even now are

21:11

going to move into this digital virtual

21:13

space. Of course most people are

21:14

thinking about what that means for most

21:16

consumers but it also has really

21:18

important implications for people who

21:20

are disabled right and whether how how

21:23

are they going to participate in that.

21:24

And so we were thinking really about for

21:27

people like Poncho and other people who

21:29

are paralyzed, what other forms of BCI

21:34

can we do in order to help improve their

21:36

ability to communicate. So one is

21:38

essentially building out more holistic

21:40

avatars, you know, things that can

21:42

essentially decode, you know,

21:44

essentially their their expressions or

21:47

the movements associated with their

21:49

mouth and jaw when they actually speak

21:51

to improve that communication. So, do

21:53

you envision a time not too long from

21:56

now where instead of tweeting out

21:57

something in text, my avatar will I'll

22:00

I'll type it out, but my avatar will

22:02

just say it. It'll be an image of my

22:04

avatar saying whatever it is I happen to

22:06

be tweeting at that moment.

22:07

>> That's what we're working on. That is

22:08

going to happen and it's going to happen

22:10

soon and there's a lot of progress in

22:12

that. And again, we're just trying to

22:14

enrich

22:16

um the the field of, you know, of

22:18

communication, expression um to make it

22:21

more normal. And we actually think that

22:24

having that kind of avatar is a way of

22:27

getting feedback to people learning how

22:28

to speak through a speech

22:30

neuroprothetic. That's the device that

22:32

we call it. It's a speech

22:32

neuroprothetic. That is going to be the

22:34

way that can help people learn how to do

22:36

it the quickest. Not necessarily like

22:38

trying to say words and having it come

22:40

on a screen, but actually have people

22:43

embody feel like it's part of themselves

22:46

or that they are directly controlling

22:47

that

22:48

>> that illustration or animation. I get a

22:51

lot of questions about stutter. What can

22:53

people with stutter do if they'd like to

22:55

relieve their stutter? Stutter is a

22:58

condition where the words can't come out

23:01

fluently. So, you have all the ideas,

23:03

you've got the language. In fact, you

23:05

know, remember we talked about this

23:06

distinction between language and speech.

23:08

Stuttering is a problem of speech,

23:10

right? So, the ideas, the meanings, the

23:13

grammar, it's all there in people's

23:15

stutter, but they can't get the words

23:17

out fluently. So that's a speech

23:20

condition and uh in particular it's a

23:23

condition that affects articulation

23:25

specifically about controlling the

23:28

production of words in this really

23:30

coordinated kind of movements that have

23:32

to happen in the vocal tract to produce

23:35

fluent speech

23:37

and um stuttering is a condition where

23:41

people have a predisposition to it. So

23:44

there's an aspect of stuttering. You are

23:47

a stutterer or you're not a stutterer.

23:49

But people who stutter don't stutter all

23:51

the time either. So you could be a

23:53

stutterer who stutters at sometimes but

23:56

not others. And really the the main link

24:00

between stuttering anxiety is that

24:03

anxiety can provoke it and make it

24:06

worse. That's certainly true, but it's

24:10

not necessarily caused by anxiety. It

24:14

can essentially trigger it or make it

24:16

worse, but it's not the cause of it, per

24:19

se. So the cause of it is still really

24:22

not clear, but it does have to do with

24:25

these kind of brain functions that we've

24:27

been talking about earlier, which is

24:29

that in order to produce normal fluent

24:33

speech, we're not even conscious of what

24:36

is going on in our mouths, in our

24:38

larynx, we're not conscious. And if we

24:40

were, we would not be able to speak

24:41

because it's too complex. It's too

24:43

precise. It's something that we have

24:47

really uh developed the abilities to do

24:49

and we do it naturally, right? It's part

24:51

of our programming and part of what we

24:53

learn inherently and you know it's just

24:55

through exposure.

24:57

So

24:59

stuttering is a is essentially a

25:02

breakdown at certain times

25:05

in that machinery being able to work in

25:07

a really coordinated way.

25:10

You can think about, you know, the

25:11

operations of these areas that are

25:13

controlling the vocal tract. Let's say

25:15

speech is like a symphony. In order for

25:16

it to come out normally, you've got to

25:18

have not just one part, the larynx, but

25:22

the lips, the jaw, they can't be doing

25:24

their own thing. They have to be very,

25:27

very precisely

25:29

activated and very, very precisely

25:31

controlled in a way to actually create

25:33

words. And so, in stuttering, there's a

25:35

breakdown of that coordination. If

25:38

somebody has a stutter, is it better to

25:40

address that early in life when there's

25:42

still neuroplasticity at is very robust?

25:46

And if so, what's the typical route for

25:48

treatment? I I have to imagine it's not

25:49

brain surgery typically. Um I'm guessing

25:52

there are speech therapists that that

25:54

people can talk to and and and they can

25:58

help them work out where they're getting

26:00

stuck in the relationship to anxiety.

26:02

>> Yeah, exactly. I mean, part of it is

26:04

about that anxiety, but a lot of it

26:06

really has to do with um therapy to sort

26:11

of like work through and think of tricks

26:13

basically sometimes to create conditions

26:16

where you can actually get the words to

26:18

come out. A lot of some forms of

26:20

stuttering are really initiation

26:21

problems. Just getting started itself is

26:24

is very hard. You want to start with

26:26

initial vowel or consonant, but it won't

26:29

emit. So a lot of the therapy is really

26:32

just focusing on like how do you create

26:34

the conditions you know for that to

26:37

happen. There's another aspect to it

26:39

that I find very interesting is that um

26:42

the feedback essentially what we hear

26:44

ourselves say. For example, every time

26:47

that I say a word I'm also hearing what

26:49

I'm saying. So that's what we call

26:50

auditory feedback. That turns out to be

26:52

very important. And sometimes when you

26:55

change that it can actually change the

26:57

amount someone stutters for better or

26:58

for worse. And it it's giving us a clue

27:02

that the brain is not just focused on

27:06

sending the commands out, but it's also

27:08

possibly interacting with the part that

27:10

is hearing the sounds. And there's

27:12

something might be going on in that

27:14

connection that that breaks down when

27:16

stuttering occurs. So there are

27:19

individuals that are stutterers, but

27:21

they don't stutter all the time. In

27:23

those instances, there's something

27:25

happening in those particular moments

27:27

where this very, very precise

27:29

coordination needs to happen in the

27:31

brain in order to get the words out

27:33

fluently.

27:34

>> Eddie, I have to say from the first time

27:36

we became friends, uh, 38 years ago,

27:39

>> something like that.

27:40

>> Something like that. To be sitting here

27:41

with you today for me is a absolute

27:44

thrill. Not just because we've been

27:46

friends for that long or that we got

27:47

reacquainted through the literally the

27:49

halls of medicine and science, but

27:51

because I really do see what you're

27:54

doing as really representing that front

27:57

absolute cutting edge of of exploration

27:59

and application. I mean, the story of

28:01

Poncho is but one of your many patients

28:04

that um has tremendous benefit from your

28:07

work and and now as a chair of a

28:09

department, you of course work alongside

28:11

individuals who are also doing

28:12

incredible work in the spinal cord etc.

28:15

So on behalf of myself and and everyone

28:17

listening, I just really want to thank

28:18

you for joining us today to share this

28:21

information, but also just for the work

28:23

you do. It's truly spectacular. So thank

28:26

you ever so much.

28:27

>> Thanks.

Interactive Summary

Dr. Andrew Huberman and Dr. Eddie Chang discuss the neurobiology of speech and language, focusing on how the brain coordinates complex vocal movements. They explore the distinction between speech and language, the role of the larynx and vocal tract, and how advancements in brain-machine interfaces are enabling communication for patients with severe paralysis or 'locked-in' syndrome. Additionally, the conversation touches upon the mechanisms of stuttering and the future ethical implications of cognitive augmentation.

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