00:00:00
Transcriber: Joseph Geni
Reviewer: Madeleine Aronson
00:00:12
Today I want to tell you
00:00:13
about a project being carried out
00:00:15
by scientists all over the world
00:00:18
to paint a neural portrait of the human mind.
00:00:21
And the central idea of this work
00:00:23
is that the human mind and brain
00:00:25
is not a single, general-purpose processor,
00:00:28
but a collection of highly specialized components,
00:00:31
each solving a different specific problem,
00:00:34
and yet collectively making up
00:00:37
who we are as human beings and thinkers.
00:00:41
To give you a feel for this idea,
00:00:43
imagine the following scenario:
00:00:45
You walk into your child's day care center.
00:00:47
As usual, there's a dozen kids there
00:00:50
waiting to get picked up,
00:00:51
but this time,
00:00:53
the children's faces look weirdly similar,
00:00:56
and you can't figure out which child is yours.
00:00:59
Do you need new glasses?
00:01:00
Are you losing your mind?
00:01:02
You run through a quick mental checklist.
00:01:05
No, you seem to be thinking clearly,
00:01:07
and your vision is perfectly sharp.
00:01:09
And everything looks normal
00:01:11
except the children's faces.
00:01:13
You can see the faces,
00:01:15
but they don't look distinctive,
00:01:17
and none of them looks familiar,
00:01:18
and it's only by spotting an orange hair ribbon
00:01:21
that you find your daughter.
00:01:23
This sudden loss of the ability to recognize faces
00:01:26
actually happens to people.
00:01:28
It's called prosopagnosia,
00:01:30
and it results from damage
00:01:31
to a particular part of the brain.
00:01:33
The striking thing about it
00:01:35
is that only face recognition is impaired;
00:01:37
everything else is just fine.
00:01:40
Prosopagnosia is one of many surprisingly specific
00:01:44
mental deficits that can happen after brain damage.
00:01:48
These syndromes collectively
00:01:49
have suggested for a long time
00:01:52
that the mind is divvied up into distinct components,
00:01:55
but the effort to discover those components
00:01:58
has jumped to warp speed
00:01:59
with the invention of brain imaging technology,
00:02:02
especially MRI.
00:02:05
So MRI enables you to see internal anatomy
00:02:08
at high resolution,
00:02:10
so I'm going to show you in a second
00:02:11
a set of MRI cross-sectional images
00:02:15
through a familiar object,
00:02:16
and we're going to fly through them
00:02:17
and you're going to try to figure out what the object is.
00:02:20
Here we go.
00:02:24
It's not that easy. It's an artichoke.
00:02:26
Okay, let's try another one,
00:02:27
starting from the bottom and going through the top.
00:02:32
Broccoli! It's a head of broccoli.
00:02:33
Isn't it beautiful? I love that.
00:02:35
Okay, here's another one. It's a brain, of course.
00:02:38
In fact, it's my brain.
00:02:39
We're going through slices through my head like that.
00:02:41
That's my nose over on the right, and now
00:02:43
we're going over here, right there.
00:02:46
So this picture's nice, if I do say so myself,
00:02:51
but it shows only anatomy.
00:02:53
The really cool advance with functional imaging
00:02:55
happened when scientists figured out how to make
00:02:57
pictures that show not just anatomy but activity,
00:03:00
that is, where neurons are firing.
00:03:03
So here's how this works.
00:03:04
Brains are like muscles.
00:03:05
When they get active,
00:03:07
they need increased blood flow to supply that activity,
00:03:10
and lucky for us, blood flow
control to the brain is local,
00:03:14
so if a bunch of neurons, say, right there
00:03:16
get active and start firing,
00:03:17
then blood flow increases just right there.
00:03:20
So functional MRI picks up
on that blood flow increase,
00:03:24
producing a higher MRI response
00:03:26
where neural activity goes up.
00:03:29
So to give you a concrete feel
00:03:30
for how a functional MRI experiment goes
00:03:33
and what you can learn from it
00:03:34
and what you can't,
00:03:36
let me describe one of the first studies I ever did.
00:03:39
We wanted to know if there was a special
part of the brain for recognizing faces,
00:03:43
and there was already reason to
think there might be such a thing
00:03:46
based on this phenomenon of prosopagnosia
00:03:48
that I described a moment ago,
00:03:50
but nobody had ever seen that part of the brain
00:03:52
in a normal person,
00:03:54
so we set out to look for it.
00:03:56
So I was the first subject.
00:03:58
I went into the scanner, I lay on my back,
00:04:01
I held my head as still as I could
00:04:03
while staring at pictures of faces like these
00:04:08
and objects like these
00:04:10
and faces and objects for hours.
00:04:15
So as somebody who has
pretty close to the world record
00:04:18
of total number of hours spent inside an MRI scanner,
00:04:22
I can tell you that one of the skills
00:04:23
that's really important for MRI research
00:04:26
is bladder control.
00:04:28
(Laughter)
00:04:29
When I got out of the scanner,
00:04:31
I did a quick analysis of the data,
00:04:33
looking for any parts of my brain
00:04:35
that produced a higher response
when I was looking at faces
00:04:38
than when I was looking at objects,
00:04:39
and here's what I saw.
00:04:42
Now this image looks just awful by today's standards,
00:04:45
but at the time I thought it was beautiful.
00:04:48
What it shows is that region right there,
00:04:50
that little blob,
00:04:51
it's about the size of an olive
00:04:53
and it's on the bottom surface of my brain
00:04:55
about an inch straight in from right there.
00:04:58
And what that part of my brain is doing
00:05:01
is producing a higher MRI response,
00:05:04
that is, higher neural activity,
00:05:06
when I was looking at faces
00:05:07
than when I was looking at objects.
00:05:10
So that's pretty cool,
00:05:11
but how do we know this isn't a fluke?
00:05:13
Well, the easiest way
00:05:15
is to just do the experiment again.
00:05:17
So I got back in the scanner,
00:05:18
I looked at more faces and I looked at more objects
00:05:21
and I got a similar blob,
00:05:23
and then I did it again
00:05:25
and I did it again
00:05:27
and again and again,
00:05:30
and around about then
00:05:31
I decided to believe it was for real.
00:05:34
But still, maybe this is
something weird about my brain
00:05:38
and no one else has one of these things in there,
00:05:40
so to find out, we scanned a bunch of other people
00:05:43
and found that pretty much everyone
00:05:45
has that little face-processing region
00:05:47
in a similar neighborhood of the brain.
00:05:50
So the next question was,
00:05:52
what does this thing really do?
00:05:53
Is it really specialized just for face recognition?
00:05:57
Well, maybe not, right?
00:05:58
Maybe it responds not only to faces
00:06:00
but to any body part.
00:06:02
Maybe it responds to anything human
00:06:05
or anything alive
00:06:07
or anything round.
00:06:08
The only way to be really sure that that region
00:06:10
is specialized for face recognition
00:06:13
is to rule out all of those hypotheses.
00:06:15
So we spent much of the next couple of years
00:06:18
scanning subjects while they looked at lots
00:06:20
of different kinds of images,
00:06:21
and we showed that that part of the brain
00:06:23
responds strongly when you look at
00:06:25
any images that are faces of any kind,
00:06:29
and it responds much less strongly
00:06:31
to any image you show that isn't a face,
00:06:34
like some of these.
00:06:35
So have we finally nailed the case
00:06:37
that this region is necessary for face recognition?
00:06:41
No, we haven't.
00:06:42
Brain imaging can never tell you
00:06:44
if a region is necessary for anything.
00:06:46
All you can do with brain imaging
00:06:48
is watch regions turn on and off
00:06:50
as people think different thoughts.
00:06:52
To tell if a part of the brain is
necessary for a mental function,
00:06:55
you need to mess with it and see what happens,
00:06:58
and normally we don't get to do that.
00:07:00
But an amazing opportunity came about
00:07:03
very recently when a couple of colleagues of mine
00:07:05
tested this man who has epilepsy
00:07:08
and who is shown here in his hospital bed
00:07:11
where he's just had electrodes placed
00:07:12
on the surface of his brain
00:07:14
to identify the source of his seizures.
00:07:17
So it turned out by total chance
00:07:20
that two of the electrodes
00:07:22
happened to be right on top of his face area.
00:07:25
So with the patient's consent,
00:07:27
the doctors asked him what happened
00:07:30
when they electrically stimulated
that part of his brain.
00:07:34
Now, the patient doesn't know
00:07:35
where those electrodes are,
00:07:37
and he's never heard of the face area.
00:07:39
So let's watch what happens.
00:07:41
It's going to start with a control condition
00:07:43
that will say "Sham" nearly invisibly
00:07:45
in red in the lower left,
00:07:47
when no current is delivered,
00:07:49
and you'll hear the neurologist speaking
to the patient first. So let's watch.
00:07:53
(Video) Neurologist: Okay, just look at my face
00:07:55
and tell me what happens when I do this.
00:07:59
All right?
00:08:00
Patient: Okay.
00:08:02
Neurologist: One, two, three.
00:08:07
Patient: Nothing.
Neurologist: Nothing? Okay.
00:08:10
I'm going to do it one more time.
00:08:12
Look at my face.
00:08:15
One, two, three.
00:08:20
Patient: You just turned into somebody else.
00:08:23
Your face metamorphosed.
00:08:25
Your nose got saggy, it went to the left.
00:08:28
You almost looked like somebody I'd seen before,
00:08:31
but somebody different.
00:08:34
That was a trip.
00:08:36
(Laughter)
00:08:39
Nancy Kanwisher: So this experiment —
00:08:41
(Applause) —
00:08:45
this experiment finally nails the case
00:08:48
that this region of the brain is not only
00:08:49
selectively responsive to faces
00:08:52
but causally involved in face perception.
00:08:55
So I went through all of these details
00:08:57
about the face region to show you what it takes
00:08:59
to really establish that a part of the brain
00:09:02
is selectively involved in a specific mental process.
00:09:05
Next, I'll go through much more quickly
00:09:07
some of the other specialized regions of the brain
00:09:10
that we and others have found.
00:09:12
So to do this, I've spent a lot of time
00:09:14
in the scanner over the last month
00:09:16
so I can show you these things in my brain.
00:09:18
So let's get started. Here's my right hemisphere.
00:09:21
So we're oriented like that.
You're looking at my head this way.
00:09:24
Imagine taking the skull off
00:09:25
and looking at the surface of the brain like that.
00:09:27
Okay, now as you can see,
00:09:29
the surface of the brain is all folded up.
00:09:30
So that's not good. Stuff could be hidden in there.
00:09:32
We want to see the whole thing,
00:09:34
so let's inflate it so we can see the whole thing.
00:09:37
Next, let's find that face area I've been talking about
00:09:40
that responds to images like these.
00:09:42
To see that, let's turn the brain around
00:09:43
and look on the inside surface on the bottom,
00:09:45
and there it is, that's my face area.
00:09:48
Just to the right of that is another region
00:09:50
that is shown in purple
00:09:52
that responds when you process color information,
00:09:55
and near those regions are other regions
00:09:58
that are involved in perceiving places,
00:10:00
like right now, I'm seeing
this layout of space around me
00:10:03
and these regions in green right there
00:10:05
are really active.
00:10:06
There's another one out on the outside surface again
00:10:08
where there's a couple more face regions as well.
00:10:11
Also in this vicinity
00:10:14
is a region that's selectively involved
00:10:15
in processing visual motion,
00:10:17
like these moving dots here,
00:10:19
and that's in yellow at the bottom of the brain,
00:10:21
and near that is a region that responds
00:10:25
when you look at images of bodies and body parts
00:10:27
like these, and that region is shown in lime green
00:10:30
at the bottom of the brain.
00:10:32
Now all these regions I've shown you so far
00:10:35
are involved in specific aspects of visual perception.
00:10:39
Do we also have specialized brain regions
00:10:41
for other senses, like hearing?
00:10:44
Yes, we do. So if we turn the brain around a little bit,
00:10:47
here's a region in dark blue
00:10:50
that we reported just a couple of months ago,
00:10:52
and this region responds strongly
00:10:54
when you hear sounds with pitch, like these.
00:10:57
(Sirens)
00:10:59
(Cello music)
00:11:01
(Doorbell)
00:11:03
In contrast, that same region
does not respond strongly
00:11:07
when you hear perfectly familiar sounds
00:11:08
that don't have a clear pitch, like these.
00:11:11
(Chomping)
00:11:13
(Drum roll)
00:11:15
(Toilet flushing)
00:11:18
Okay. Next to the pitch region
00:11:21
is another set of regions that
are selectively responsive
00:11:23
when you hear the sounds of speech.
00:11:26
Okay, now let's look at these same regions.
00:11:28
In my left hemisphere, there's a similar arrangement —
00:11:30
not identical, but similar —
00:11:32
and most of the same regions are in here,
00:11:34
albeit sometimes different in size.
00:11:36
Now, everything I've shown you so far
00:11:38
are regions that are involved in
different aspects of perception,
00:11:41
vision and hearing.
00:11:43
Do we also have specialized brain regions
00:11:44
for really fancy, complicated mental processes?
00:11:48
Yes, we do.
00:11:49
So here in pink are my language regions.
00:11:53
So it's been known for a very long time
00:11:54
that that general vicinity of the brain
00:11:56
is involved in processing language,
00:11:58
but we showed very recently
00:12:00
that these pink regions
00:12:02
respond extremely selectively.
00:12:04
They respond when you understand
the meaning of a sentence,
00:12:07
but not when you do other complex mental things,
00:12:10
like mental arithmetic
00:12:12
or holding information in memory
00:12:14
or appreciating the complex structure
00:12:17
in a piece of music.
00:12:21
The most amazing region that's been found yet
00:12:24
is this one right here in turquoise.
00:12:27
This region responds
00:12:30
when you think about what another person is thinking.
00:12:34
So that may seem crazy,
00:12:35
but actually, we humans do this all the time.
00:12:39
You're doing this when you realize
00:12:42
that your partner is going to be worried
00:12:43
if you don't call home to say you're running late.
00:12:46
I'm doing this with that region of my brain right now
00:12:49
when I realize that you guys
00:12:51
are probably now wondering about
00:12:53
all that gray, uncharted territory in the brain,
00:12:56
and what's up with that?
00:12:58
Well, I'm wondering about that too,
00:12:59
and we're running a bunch of
experiments in my lab right now
00:13:02
to try to find a number of other
00:13:04
possible specializations in the brain
00:13:06
for other very specific mental functions.
00:13:09
But importantly, I don't think we have
00:13:12
specializations in the brain
00:13:13
for every important mental function,
00:13:16
even mental functions that may be critical for survival.
00:13:19
In fact, a few years ago,
00:13:21
there was a scientist in my lab
00:13:23
who became quite convinced
00:13:24
that he'd found a brain region
00:13:26
for detecting food,
00:13:28
and it responded really strongly in the scanner
00:13:30
when people looked at images like this.
00:13:32
And further, he found a similar response
00:13:35
in more or less the same location
00:13:37
in 10 out of 12 subjects.
00:13:39
So he was pretty stoked,
00:13:41
and he was running around the lab
00:13:43
telling everyone that he was going to go on "Oprah"
00:13:45
with his big discovery.
00:13:47
But then he devised the critical test:
00:13:50
He showed subjects images of food like this
00:13:53
and compared them to images with very similar
00:13:56
color and shape, but that weren't food, like these.
00:13:59
And his region responded the same
00:14:02
to both sets of images.
00:14:04
So it wasn't a food area,
00:14:05
it was just a region that liked colors and shapes.
00:14:08
So much for "Oprah."
00:14:12
But then the question, of course, is,
00:14:14
how do we process all this other stuff
00:14:16
that we don't have specialized brain regions for?
00:14:19
Well, I think the answer is that in addition
00:14:21
to these highly specialized components
that I've been describing,
00:14:25
we also have a lot of very general-
purpose machinery in our heads
00:14:28
that enables us to tackle
00:14:30
whatever problem comes along.
00:14:32
In fact, we've shown recently that
00:14:34
these regions here in white
00:14:36
respond whenever you do any difficult mental task
00:14:39
at all —
00:14:41
well, of the seven that we've tested.
00:14:44
So each of the brain regions that I've described
00:14:46
to you today
00:14:48
is present in approximately the same location
00:14:50
in every normal subject.
00:14:52
I could take any of you,
00:14:54
pop you in the scanner,
00:14:55
and find each of those regions in your brain,
00:14:57
and it would look a lot like my brain,
00:14:59
although the regions would be slightly different
00:15:01
in their exact location and in their size.
00:15:05
What's important to me about this work
00:15:07
is not the particular locations of these brain regions,
00:15:10
but the simple fact that we have
00:15:13
selective, specific components of mind and brain
00:15:15
in the first place.
00:15:17
I mean, it could have been otherwise.
00:15:19
The brain could have been a single,
00:15:21
general-purpose processor,
00:15:23
more like a kitchen knife
00:15:24
than a Swiss Army knife.
00:15:26
Instead, what brain imaging has delivered
00:15:29
is this rich and interesting picture of the human mind.
00:15:33
So we have this picture of very general-purpose
00:15:35
machinery in our heads
00:15:37
in addition to this surprising array
00:15:39
of very specialized components.
00:15:43
It's early days in this enterprise.
00:15:45
We've painted only the first brushstrokes
00:15:48
in our neural portrait of the human mind.
00:15:51
The most fundamental questions remain unanswered.
00:15:54
So for example, what does each
of these regions do exactly?
00:15:58
Why do we need three face areas
00:16:00
and three place areas,
00:16:02
and what's the division of labor between them?
00:16:04
Second, how are all these things
00:16:07
connected in the brain?
00:16:09
With diffusion imaging,
00:16:10
you can trace bundles of neurons
00:16:13
that connect to different parts of the brain,
00:16:15
and with this method shown here,
00:16:17
you can trace the connections of
individual neurons in the brain,
00:16:20
potentially someday giving us a wiring diagram
00:16:23
of the entire human brain.
00:16:25
Third, how does all of this
00:16:27
very systematic structure get built,
00:16:30
both over development in childhood
00:16:33
and over the evolution of our species?
00:16:36
To address questions like that,
00:16:38
scientists are now scanning
00:16:40
other species of animals,
00:16:42
and they're also scanning human infants.
00:16:48
Many people justify the high
cost of neuroscience research
00:16:52
by pointing out that it may help us someday
00:16:55
to treat brain disorders like Alzheimer's and autism.
00:16:58
That's a hugely important goal,
00:17:00
and I'd be thrilled if any of my work contributed to it,
00:17:03
but fixing things that are broken in the world
00:17:06
is not the only thing that's worth doing.
00:17:09
The effort to understand the human mind and brain
00:17:12
is worthwhile even if it never led to the treatment
00:17:15
of a single disease.
00:17:17
What could be more thrilling
00:17:19
than to understand the fundamental mechanisms
00:17:22
that underlie human experience,
00:17:24
to understand, in essence, who we are?
00:17:27
This is, I think, the greatest scientific quest
00:17:31
of all time.
00:17:34
(Applause)