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I'm Alice Roberts. | 0:00:09 | 0:00:11 | |
I'm expecting my second child in a few months | 0:00:11 | 0:00:14 | |
and I'm having a day out to visit some relatives. | 0:00:14 | 0:00:18 | |
Hello, hello. | 0:00:24 | 0:00:25 | |
Do you want this grape? | 0:00:26 | 0:00:27 | |
This is Le Puri. | 0:00:29 | 0:00:31 | |
She's a baby bonobo, or pygmy chimpanzee. | 0:00:33 | 0:00:36 | |
And of all animals alive today, she's one of my closest relatives. | 0:00:38 | 0:00:43 | |
Well, this is bringing out all the maternal instincts in me. | 0:00:45 | 0:00:47 | |
Oh, hello, Le Puri! | 0:00:49 | 0:00:50 | |
Le Puri may be cute, but having reached the grand old | 0:00:53 | 0:00:57 | |
age of one, she's much more developed than a one-year-old human. | 0:00:57 | 0:01:01 | |
She and I share 99% of our DNA and yet from the moment of birth, | 0:01:02 | 0:01:08 | |
our lives are so very different. | 0:01:08 | 0:01:11 | |
When my baby is born it will take him a year to even walk, | 0:01:14 | 0:01:17 | |
and yet with time, as a human, his life will develop a richness | 0:01:17 | 0:01:23 | |
far beyond that of our hairy ape cousins. | 0:01:23 | 0:01:26 | |
So what is it about our bodies, our genes | 0:01:28 | 0:01:31 | |
and ultimately our brains that sets us apart? | 0:01:31 | 0:01:34 | |
What is it that truly makes us human? | 0:01:36 | 0:01:38 | |
I've come somewhere I've long been keen to visit, | 0:01:57 | 0:02:00 | |
the great ape enclosure at the Max Planck Institute at Leipzig Zoo, | 0:02:00 | 0:02:05 | |
one of the biggest collections of great apes on the planet. | 0:02:05 | 0:02:09 | |
As well as humans, the family of great apes is made | 0:02:22 | 0:02:25 | |
up of gorillas, orangutans, chimpanzees and bonobos. | 0:02:25 | 0:02:30 | |
It's really lovely watching the little ones with the adults | 0:02:35 | 0:02:38 | |
because they're doing what you'd expect a toddler to do. | 0:02:38 | 0:02:41 | |
They're being annoying. | 0:02:43 | 0:02:45 | |
They're kind of going up and tickling the adults | 0:02:45 | 0:02:48 | |
and they've got this mischievous look in their eyes. | 0:02:48 | 0:02:50 | |
These apes are our closest living relatives. | 0:02:55 | 0:02:58 | |
And I'm here to find out what makes this particular ape, | 0:03:03 | 0:03:06 | |
the human one, different to all the others. | 0:03:06 | 0:03:10 | |
Very difficult to sketch them, really. | 0:03:13 | 0:03:16 | |
They stay still for a minute and then they're off again. | 0:03:16 | 0:03:19 | |
For me, as an anatomist, | 0:03:22 | 0:03:24 | |
the first thing to do is to look at the differences between our bodies. | 0:03:24 | 0:03:28 | |
Gorillas are the largest of the great apes | 0:03:29 | 0:03:31 | |
and looking at the massive silverback right | 0:03:31 | 0:03:34 | |
at the back of the enclosure there, he really is enormous. | 0:03:34 | 0:03:37 | |
He's magnificent. | 0:03:37 | 0:03:38 | |
They're sitting quite nicely still so you can get a real appreciation | 0:03:40 | 0:03:43 | |
of the similarities and differences between their anatomy and ours. | 0:03:43 | 0:03:48 | |
There's an awful lot about them which is very similar, in fact. | 0:03:48 | 0:03:52 | |
So if you look at the construction of the arms | 0:03:52 | 0:03:55 | |
and the legs, you've got all the same bones there. | 0:03:55 | 0:03:57 | |
But they are different shapes and different proportions, | 0:03:59 | 0:04:02 | |
so you can see that the arms are very long compared with the legs. | 0:04:02 | 0:04:05 | |
They've got very short legs compared with the rest of their bodies. | 0:04:05 | 0:04:08 | |
We've got very long legs, ridiculously long legs for an ape. | 0:04:08 | 0:04:11 | |
These differences relate to how we move around. | 0:04:14 | 0:04:18 | |
Whereas gorillas and other apes knuckle-walk on all fours, | 0:04:18 | 0:04:22 | |
we humans, uniquely, habitually walk around upright, on two legs. | 0:04:22 | 0:04:28 | |
And there's another obvious difference that becomes | 0:04:33 | 0:04:36 | |
apparent when you start drawing heads. | 0:04:36 | 0:04:39 | |
It's quite difficult sketching them. | 0:04:39 | 0:04:41 | |
I find the faces particularly difficult because you've got | 0:04:41 | 0:04:44 | |
such an idea in your head of what a human face looks like, and you | 0:04:44 | 0:04:47 | |
have to forget that entirely when you're sketching these apes, because | 0:04:47 | 0:04:51 | |
the proportions of their faces are entirely different from ours. | 0:04:51 | 0:04:55 | |
If you look at a human head, | 0:04:55 | 0:04:56 | |
the eyes are quite low on the head, perhaps about halfway down | 0:04:56 | 0:05:00 | |
if we measure from the top of the head to the chin. | 0:05:00 | 0:05:02 | |
If you look at a gorilla head, the eyes are right up on the top | 0:05:03 | 0:05:06 | |
because their brain case is so much smaller than ours. | 0:05:06 | 0:05:09 | |
They don't have this massive forehead | 0:05:09 | 0:05:11 | |
and a massive brain inside it. | 0:05:11 | 0:05:13 | |
We've long known that these two features, big brains | 0:05:16 | 0:05:20 | |
and upright walking, really are hallmarks of humans. | 0:05:20 | 0:05:25 | |
And somehow these big brains must explain the vast gulf that we see | 0:05:28 | 0:05:34 | |
between ourselves and our closest ape relatives, the chimpanzees. | 0:05:34 | 0:05:39 | |
Of all the great apes, | 0:05:43 | 0:05:44 | |
these are the ones to which we're most closely related. | 0:05:44 | 0:05:47 | |
And the amazing thing is that we now know from studies | 0:05:49 | 0:05:53 | |
of DNA, our DNA, theirs, and that of other apes, that, in fact, we are | 0:05:53 | 0:05:59 | |
more closely related to chimpanzees than either of us is to gorillas. | 0:05:59 | 0:06:04 | |
It's extraordinary. | 0:06:04 | 0:06:05 | |
There's this close-knit family of us, common chimpanzees and bonobos. | 0:06:05 | 0:06:12 | |
I think that says something really important about our place | 0:06:12 | 0:06:15 | |
in this primate family tree and it makes it even more | 0:06:15 | 0:06:18 | |
extraordinary that our lives are so different to theirs. | 0:06:18 | 0:06:23 | |
So what exactly has changed in the six million years | 0:06:27 | 0:06:31 | |
since we shared a common ancestor? | 0:06:31 | 0:06:34 | |
We certainly have bigger brains | 0:06:35 | 0:06:38 | |
and we think we're more intelligent, but chimps are full of surprises. | 0:06:38 | 0:06:44 | |
The Max Planck Institute is at the forefront of some ground-breaking | 0:06:49 | 0:06:53 | |
work, comparing intelligence in humans and in chimps. | 0:06:53 | 0:06:57 | |
For the past nine years, | 0:07:01 | 0:07:03 | |
Michael Tomasello has been closely studying this troop. | 0:07:03 | 0:07:07 | |
So she did something which I think in human society | 0:07:07 | 0:07:10 | |
would be considered rather odd. | 0:07:10 | 0:07:11 | |
She came along and presented her bottom to you. | 0:07:11 | 0:07:14 | |
So is that a kind of friendly sign? | 0:07:14 | 0:07:16 | |
-It's a kind of a friendly greeting. -Right, OK. | 0:07:16 | 0:07:18 | |
A little friendlier than we might normally do in human society. | 0:07:21 | 0:07:24 | |
You see, there are these similarities, | 0:07:24 | 0:07:25 | |
but there are some quite important differences as well. | 0:07:25 | 0:07:28 | |
Exactly so. | 0:07:28 | 0:07:30 | |
'And his work on ape intelligence is casting a fascinating new | 0:07:30 | 0:07:34 | |
'light on what it means to be human.' | 0:07:34 | 0:07:38 | |
And when you first started doing this work, | 0:07:38 | 0:07:40 | |
were you surprised? | 0:07:40 | 0:07:42 | |
Did you, did you find that they were more or less intelligent | 0:07:42 | 0:07:45 | |
than you expected them to be? | 0:07:45 | 0:07:47 | |
Well, that's the great part, is that they were, in some ways, | 0:07:47 | 0:07:51 | |
more intelligent and in other ways maybe a little less so. | 0:07:51 | 0:07:55 | |
They will do some things that will just absolutely surprise you | 0:07:55 | 0:07:58 | |
and you just can't believe they're so clever, and then they'll | 0:07:58 | 0:08:01 | |
just turn around and do something that's just kind of thick. | 0:08:01 | 0:08:05 | |
We like to think we're the most intelligent species on the planet, | 0:08:08 | 0:08:12 | |
but we have to be careful about what exactly we mean by intelligence. | 0:08:12 | 0:08:16 | |
The first thing we have to get rid of in thinking about animal intelligence | 0:08:18 | 0:08:21 | |
is the idea that there's this ladder of intelligence | 0:08:21 | 0:08:24 | |
that goes from low to high, and animals can just be placed on it. | 0:08:24 | 0:08:27 | |
It's actually much more complicated than that. | 0:08:27 | 0:08:29 | |
Different animals have different intelligences, as it were. | 0:08:29 | 0:08:33 | |
So the best memorisers in the world are squirrels | 0:08:33 | 0:08:36 | |
and birds that hide their nuts in different locations and can remember | 0:08:36 | 0:08:41 | |
dozens and dozens and dozens of locations, more than we can. | 0:08:41 | 0:08:44 | |
Oh, I was going to say, so when you say best memorisers in the world, that includes us? | 0:08:44 | 0:08:48 | |
That includes us. Absolutely. | 0:08:48 | 0:08:50 | |
In the case of apes, what we think is that they're especially | 0:08:50 | 0:08:54 | |
good at cognising things about the physical world | 0:08:54 | 0:08:57 | |
and understanding space, and causal relations like when using tools, | 0:08:57 | 0:09:02 | |
what causes something to move and whatever. | 0:09:02 | 0:09:05 | |
They're very good at that and basically they're not | 0:09:05 | 0:09:07 | |
different from human children in that kind of understanding. | 0:09:07 | 0:09:10 | |
So here's this task. | 0:09:13 | 0:09:14 | |
I put a little peanut, this is for you, this is your reward | 0:09:14 | 0:09:17 | |
and I just put it in here. | 0:09:17 | 0:09:19 | |
'And to show me just how intelligent chimps can be, | 0:09:20 | 0:09:24 | |
'Michael's colleague, Daniel Hannus, has invited me to try my hand | 0:09:24 | 0:09:27 | |
'at solving a problem that they regularly give to chimpanzees.' | 0:09:27 | 0:09:31 | |
You just do whatever you want to retrieve the peanut. | 0:09:33 | 0:09:36 | |
'My task is to get the peanut out of the tube | 0:09:36 | 0:09:39 | |
'using anything that comes to hand.' | 0:09:39 | 0:09:41 | |
I wonder if I could use the chain somehow, and the teaspoon. | 0:09:43 | 0:09:49 | |
That's going to be really difficult, I think. | 0:09:49 | 0:09:52 | |
Slightly worried I'm going to lose the teaspoon as well. | 0:10:01 | 0:10:04 | |
You'll never get it out again. | 0:10:05 | 0:10:07 | |
I don't think that's the right thing to do. | 0:10:07 | 0:10:09 | |
It may take me a while to figure it out, | 0:10:14 | 0:10:16 | |
but the key to this puzzle is something that you might | 0:10:16 | 0:10:19 | |
think chimps don't have, the ability to use a bit of lateral thinking. | 0:10:19 | 0:10:25 | |
Am I allowed to use my water? | 0:10:25 | 0:10:26 | |
Whatever you want. | 0:10:26 | 0:10:28 | |
-Any idea you have, you could just try it out. -OK. | 0:10:28 | 0:10:31 | |
Yes! Here it comes. | 0:10:39 | 0:10:41 | |
Yeah, wow! | 0:10:46 | 0:10:48 | |
Excellent. | 0:10:49 | 0:10:50 | |
It took me more than four minutes to get my peanut, | 0:10:53 | 0:10:57 | |
so now let's see how a chimpanzee manages. | 0:10:57 | 0:11:01 | |
Oh, here they come, so Daniel's just trying to get them | 0:11:03 | 0:11:06 | |
interested in the peanut and they're going to have to do exactly | 0:11:06 | 0:11:10 | |
the same test that I just did. | 0:11:10 | 0:11:11 | |
Oh, look, he's doing it. | 0:11:18 | 0:11:20 | |
It's just really clever, it really is, | 0:11:20 | 0:11:23 | |
watching this chimp doing that. | 0:11:23 | 0:11:24 | |
And he doesn't have a bottle of water like I had. | 0:11:27 | 0:11:29 | |
He's got to think about how to get the water in there. | 0:11:29 | 0:11:32 | |
He takes some from his drinking bottle into his mouth | 0:11:34 | 0:11:37 | |
and then he spits it out in the tube. | 0:11:37 | 0:11:39 | |
He hasn't quite done enough. | 0:11:39 | 0:11:40 | |
Can he reach it yet? | 0:11:42 | 0:11:44 | |
There's another mouthful of water gone in and, oh, it's just, | 0:11:49 | 0:11:52 | |
it's almost there. | 0:11:52 | 0:11:53 | |
It must be so frustrating. | 0:11:53 | 0:11:54 | |
Oh! | 0:11:55 | 0:11:57 | |
-Yeah! -He's done it, he's done it. | 0:11:57 | 0:11:59 | |
You clever chimpanzee. | 0:12:02 | 0:12:03 | |
I think that was quicker than me. | 0:12:04 | 0:12:06 | |
Twice as quick, in fact. | 0:12:07 | 0:12:09 | |
But although this chimp has done it before, even when presented with | 0:12:10 | 0:12:13 | |
the task for the first time, many of the apes here figured out that water | 0:12:13 | 0:12:18 | |
could be used not only to drink, but also as a tool to make peanuts move. | 0:12:18 | 0:12:24 | |
At certain tasks, chimps are cleverer than you might think. | 0:12:24 | 0:12:28 | |
And what excites me is that Mike | 0:12:30 | 0:12:32 | |
and his team are now homing in on the specific aspects of human | 0:12:32 | 0:12:36 | |
intelligence and behaviour that set us apart from our hairy cousins. | 0:12:36 | 0:12:41 | |
What makes us really different is our ability to put our heads | 0:12:43 | 0:12:46 | |
together and to do things that neither one of us could do alone, | 0:12:46 | 0:12:50 | |
to create new resources that neither one of us could create alone. | 0:12:50 | 0:12:53 | |
It's really all about communicating and collaborating | 0:12:53 | 0:12:57 | |
and working together. | 0:12:57 | 0:12:58 | |
But you think there's some kind of add-on effect then of teaching | 0:12:58 | 0:13:02 | |
and of being in a society, | 0:13:02 | 0:13:04 | |
in a culture which kind of builds on those innate abilities? | 0:13:04 | 0:13:08 | |
It makes all the difference. | 0:13:08 | 0:13:09 | |
If you raised a child on a desert island with no social contact | 0:13:09 | 0:13:13 | |
so no teaching, no contact with humans, their intelligence | 0:13:13 | 0:13:19 | |
as an adult would be very similar to that of other apes. | 0:13:19 | 0:13:22 | |
It would be a little bit different, | 0:13:22 | 0:13:23 | |
but they're evolved to learn from others | 0:13:23 | 0:13:26 | |
and to communicate with others and to collaborate with others, | 0:13:26 | 0:13:28 | |
and if there was no-one there and no culture and no tools and no | 0:13:28 | 0:13:32 | |
language, then that natural human intelligence just wouldn't develop. | 0:13:32 | 0:13:36 | |
Fish are born expecting water, OK? | 0:13:36 | 0:13:39 | |
They've got fins, they've got gills, they're born expecting water | 0:13:40 | 0:13:43 | |
and humans are born expecting culture. | 0:13:43 | 0:13:45 | |
At the heart of being a human then is our culture, | 0:13:53 | 0:13:58 | |
and something that goes hand in hand with human culture | 0:13:58 | 0:14:01 | |
is our ability to co-operate, and Michael has devised an experiment | 0:14:01 | 0:14:06 | |
that he believes reveals a specific piece of behaviour that separates | 0:14:06 | 0:14:11 | |
us from chimps, that defines us a species, and truly makes us human. | 0:14:11 | 0:14:16 | |
So what's this test designed to look at then? | 0:14:19 | 0:14:22 | |
OK, this is a test of being able to collaborate or co-operate | 0:14:22 | 0:14:26 | |
by pulling in on a rope such that they each get their reward. | 0:14:26 | 0:14:32 | |
The rope is strong through these hooks, so that | 0:14:32 | 0:14:36 | |
if anyone individual pulls, it'll just pull the rope out loosely. | 0:14:36 | 0:14:40 | |
Ah, right. | 0:14:40 | 0:14:41 | |
And so you have to pull together in order to get the food. | 0:14:41 | 0:14:45 | |
-So now they each have their rope. -I see. So that's a moveable plank? | 0:14:49 | 0:14:52 | |
It's a moveable plank. | 0:14:52 | 0:14:53 | |
-With their pieces of banana, which is their reward. -Exactly. | 0:14:53 | 0:14:56 | |
-So they have to pull together? -And they have to pull together. | 0:14:56 | 0:14:58 | |
If any one of them pulls alone, they just pull it out. | 0:14:58 | 0:15:01 | |
So now it's tightened up and they're ready to actually make it move, | 0:15:03 | 0:15:06 | |
but they have to be sensitive to what the other one is doing. | 0:15:06 | 0:15:09 | |
-Notice there was actually a look to the other? -Yeah, this is amazing. | 0:15:09 | 0:15:12 | |
OK, and they both pull it in and get their rewards. | 0:15:12 | 0:15:15 | |
These are two of our best at doing this. | 0:15:18 | 0:15:20 | |
-That is stunning. -They are very good. | 0:15:20 | 0:15:22 | |
Proper, proper co-operation. It's brilliant. | 0:15:22 | 0:15:25 | |
But co-operation in the chimp world is a fragile thing. | 0:15:27 | 0:15:32 | |
What happens if something goes wrong and one chimp gets her reward first? | 0:15:32 | 0:15:37 | |
-This one has tangled her rope. -Oh! | 0:15:37 | 0:15:39 | |
She can't quite reach it. | 0:15:41 | 0:15:42 | |
And now she can't do it, as long as this one's let go. | 0:15:42 | 0:15:45 | |
You can now see the rope coming out. | 0:15:45 | 0:15:47 | |
-She's frustrated because they didn't pull exactly synchronously. -Yeah. | 0:15:47 | 0:15:51 | |
So she's got her reward. She's happy now, she's gone. | 0:15:55 | 0:15:58 | |
And then her poor partner is left without a reward. | 0:15:58 | 0:16:01 | |
For our closest relatives, clever as they are, that's as far as it goes. | 0:16:03 | 0:16:08 | |
Chimps will co-operate, but only for selfish ends. | 0:16:08 | 0:16:12 | |
But the experiments get really interesting | 0:16:27 | 0:16:30 | |
when you start testing humans. | 0:16:30 | 0:16:33 | |
Michael has been comparing how young children perform in the same task. | 0:16:33 | 0:16:38 | |
This is a very similar test to the test that the chimpanzees | 0:16:41 | 0:16:44 | |
were doing with the bananas. | 0:16:44 | 0:16:46 | |
Yes, it's the same basic idea, same basic idea. | 0:16:46 | 0:16:49 | |
'Like the chimps, the kids have to collaborate by pulling | 0:16:50 | 0:16:54 | |
'on a string at the same time to release the marbles. | 0:16:54 | 0:16:57 | |
'And just like the chimps, they have no problem co-operating.' | 0:17:04 | 0:17:07 | |
'Instead of a piece of banana, their reward is | 0:17:11 | 0:17:14 | |
'the satisfaction of placing a marble in the plinck machine.' | 0:17:14 | 0:17:19 | |
THEY SPEAK GERMAN | 0:17:19 | 0:17:23 | |
'The experiment can be set up | 0:17:27 | 0:17:29 | |
'so that the children receive either an equal or an unequal reward.' | 0:17:29 | 0:17:34 | |
THEY SPEAK GERMAN | 0:17:34 | 0:17:38 | |
So, Mike, what's the idea of this test? | 0:17:40 | 0:17:42 | |
They have to work together to get the reward? | 0:17:42 | 0:17:45 | |
Yeah, so the idea of this test is that kids are not that | 0:17:45 | 0:17:48 | |
naturally generous with their own things, and so if they just | 0:17:48 | 0:17:53 | |
have some things and you tell them they can share, maybe they will, | 0:17:53 | 0:17:56 | |
maybe they won't, but when they work together and they generate together | 0:17:56 | 0:18:01 | |
these rewards, they have a tendency to want them to be equally split. | 0:18:01 | 0:18:05 | |
Here they come. | 0:18:12 | 0:18:13 | |
So she's setting it up... | 0:18:18 | 0:18:20 | |
..but this time making sure it's going to be an uneven distribution? | 0:18:22 | 0:18:26 | |
Yes. One of them's going to get more than the other and we'll see | 0:18:27 | 0:18:32 | |
if they need to even it out before they cash in their rewards. | 0:18:32 | 0:18:35 | |
Pulling. | 0:18:43 | 0:18:44 | |
Ah, so there's uneven rewards, no? | 0:18:49 | 0:18:51 | |
This little girl's got one and that one's got three. | 0:18:55 | 0:18:57 | |
Are they sharing? | 0:19:00 | 0:19:01 | |
Let's see. | 0:19:03 | 0:19:04 | |
They shared them out. | 0:19:08 | 0:19:09 | |
Yes, they shared them out. | 0:19:09 | 0:19:10 | |
So they ended up with two each, yep. | 0:19:13 | 0:19:15 | |
Isn't that interesting? | 0:19:19 | 0:19:20 | |
That was quite extraordinary, | 0:19:22 | 0:19:23 | |
because I wouldn't have naturally thought that kids of this age, | 0:19:23 | 0:19:26 | |
two-year-olds, three-year-olds, would be that into sharing. | 0:19:26 | 0:19:29 | |
It's only when they work together for it. | 0:19:29 | 0:19:32 | |
That's just fascinating. | 0:19:34 | 0:19:35 | |
'In these experiments, Mike and his team have uncovered a seemingly | 0:19:39 | 0:19:44 | |
'small but crucial difference between us and chimpanzees.' | 0:19:44 | 0:19:48 | |
OK, here they come. | 0:19:48 | 0:19:49 | |
'Human children do something that no other ape will do.' | 0:19:51 | 0:19:55 | |
-He rolls one over to him. -He's rolled one over. -Yeah. | 0:20:01 | 0:20:03 | |
'In that small act of sharing, they reveal something that really does | 0:20:10 | 0:20:15 | |
'lie at the heart of what it is to be human.' | 0:20:15 | 0:20:17 | |
'It's a tiny but profound difference between us and the other apes, | 0:20:19 | 0:20:25 | |
'and it's a way of thinking that underpins our ability | 0:20:25 | 0:20:30 | |
'to co-operate and create human culture.' | 0:20:30 | 0:20:33 | |
Somehow these huge brains that we've got encapsulate the main differences | 0:20:39 | 0:20:44 | |
between ourselves and our closest cousins, | 0:20:44 | 0:20:47 | |
because look at these chimpanzees. | 0:20:47 | 0:20:49 | |
They're naked and hairy, they're not wearing clothes, | 0:20:49 | 0:20:52 | |
they're not talking about me, they're not sketching me. | 0:20:52 | 0:20:56 | |
So there are some really massive differences between us and them | 0:20:56 | 0:20:59 | |
which must come down, in some ways, to what is going on | 0:20:59 | 0:21:03 | |
inside this huge organ in our heads. | 0:21:03 | 0:21:06 | |
'With just a few months left until I'm due to give birth, | 0:21:21 | 0:21:25 | |
'I'm off for a scan to see how my new baby is getting along.' | 0:21:25 | 0:21:29 | |
-So shall I just lie back on here, then, Chrissie? -Yes. | 0:21:32 | 0:21:36 | |
-Right, this is some cold jelly. -Yeah. | 0:21:38 | 0:21:40 | |
So I'll just have a little look around first of all. | 0:21:44 | 0:21:46 | |
'It is an emotional experience seeing my baby growing inside me.' | 0:22:04 | 0:22:09 | |
-That's the head. -That's the head, yeah. | 0:22:11 | 0:22:13 | |
There's the heart beating. | 0:22:15 | 0:22:16 | |
Oh, that's wonderful. | 0:22:16 | 0:22:17 | |
That is my baby. | 0:22:21 | 0:22:22 | |
Look at that. | 0:22:27 | 0:22:28 | |
That is my baby inside my womb. | 0:22:28 | 0:22:33 | |
And looking at him, he's obviously small now. | 0:22:36 | 0:22:38 | |
He's only six months of gestation, | 0:22:38 | 0:22:42 | |
so he's got another few months to go, | 0:22:42 | 0:22:44 | |
but he looks like a perfect but small little baby at this point, | 0:22:44 | 0:22:49 | |
so everything is there. | 0:22:49 | 0:22:50 | |
He's got his fingers in place, his toes in place, and it is just | 0:22:50 | 0:22:53 | |
amazing that all of that has come from a single fertilised egg. | 0:22:53 | 0:22:58 | |
It never fails to amaze me. | 0:22:58 | 0:22:59 | |
I mean, that's just extraordinary that the whole complexity | 0:22:59 | 0:23:03 | |
of the human body comes from that, | 0:23:03 | 0:23:06 | |
that single cell with genes from me and genes from my husband, | 0:23:06 | 0:23:11 | |
and that somehow, at the end of it, you end up with a human. | 0:23:11 | 0:23:14 | |
'But as well as being an expectant mother, I'm also an anatomist, | 0:23:16 | 0:23:20 | |
'so looking at the scan I can't help but be fascinated by the structures | 0:23:20 | 0:23:26 | |
'I can already see inside this brand new human of mine.' | 0:23:26 | 0:23:30 | |
So if we come back to looking at the head now... | 0:23:30 | 0:23:34 | |
You can almost see structures inside the brain, can't you? That's amazing. | 0:23:34 | 0:23:37 | |
You can. This is the cerebellum. | 0:23:37 | 0:23:39 | |
-Do you see this sort of dumbbell shape here? -Yeah, yeah. | 0:23:41 | 0:23:44 | |
And this dark area here is the... | 0:23:44 | 0:23:47 | |
Yeah, so that's the back of the lateral ventricle, isn't it? | 0:23:47 | 0:23:49 | |
-That's right, that's the posterior ventricle there. -That's amazing. | 0:23:49 | 0:23:54 | |
'After just six months, my baby's brain is already more than half | 0:23:54 | 0:23:58 | |
'the size of an adult chimpanzee's and it's still growing fast.' | 0:23:58 | 0:24:02 | |
How big is the head at the moment, Chrissie? | 0:24:06 | 0:24:08 | |
Well, shall we measure it and see? | 0:24:08 | 0:24:09 | |
So it says gestation just over 27 weeks, | 0:24:11 | 0:24:14 | |
and the head circumference is 25.6 centimetres. | 0:24:14 | 0:24:20 | |
What's the diameter? | 0:24:20 | 0:24:22 | |
The diameter, BPD 7.2 centimetres. | 0:24:22 | 0:24:24 | |
7.2, so it's going to get a little bit bigger. | 0:24:24 | 0:24:27 | |
Rather, yeah. | 0:24:27 | 0:24:29 | |
Oh, dear. | 0:24:29 | 0:24:30 | |
That's kind of big enough, I think. | 0:24:30 | 0:24:32 | |
'That growing head can't fail to remind me | 0:24:36 | 0:24:39 | |
'of something that's getting closer by the day.' | 0:24:39 | 0:24:42 | |
'Something that's particularly tricky for us humans.' | 0:24:42 | 0:24:46 | |
'Birth.' | 0:24:46 | 0:24:47 | |
'The enormous size of our brains, | 0:24:50 | 0:24:52 | |
'together with another uniquely human trait, | 0:24:52 | 0:24:55 | |
'our strange way of walking around on two legs, | 0:24:55 | 0:24:58 | |
'conspire to make human birth something of a squeeze, | 0:24:58 | 0:25:03 | |
'as any mother with tell you.' | 0:25:03 | 0:25:05 | |
WOMAN SCREAMS | 0:25:07 | 0:25:09 | |
And again. | 0:25:09 | 0:25:10 | |
Push, that's it, push. | 0:25:10 | 0:25:12 | |
WOMAN SCREAMS | 0:25:12 | 0:25:15 | |
It's quite strange being on a maternity ward and thinking that | 0:25:24 | 0:25:28 | |
I'm going to be back in a place like this in just two months' time, | 0:25:28 | 0:25:33 | |
ready for the appearance of my own little baby into the world. | 0:25:33 | 0:25:37 | |
I think it brings it home that human childbirth is really something | 0:25:37 | 0:25:42 | |
quite special, quite unique, even, amongst all other animals. | 0:25:42 | 0:25:47 | |
'By way of comparison, take a look at this, | 0:25:50 | 0:25:53 | |
'some rare film of a chimpanzee birth taken at Leipzig Zoo.' | 0:25:53 | 0:25:57 | |
'What's remarkable is just how quick and easy it is, | 0:26:02 | 0:26:06 | |
'certainly when compared with the rather more drawn-out | 0:26:06 | 0:26:10 | |
'and painful business of a human birth.' | 0:26:10 | 0:26:13 | |
WOMAN SCREAMS | 0:26:13 | 0:26:15 | |
Push harder, come on. | 0:26:15 | 0:26:16 | |
What I've drawn is essentially the anatomy of childbirth. | 0:26:27 | 0:26:30 | |
This is a human, female pelvis. | 0:26:32 | 0:26:33 | |
We're looking down on it from above, we're looking through | 0:26:33 | 0:26:36 | |
the birth canal and this is the baby's head | 0:26:36 | 0:26:39 | |
passing through that birth canal, | 0:26:39 | 0:26:41 | |
and you can see why childbirth is such a difficult process. | 0:26:41 | 0:26:45 | |
The birth canal is about ten centimetres in diameter, | 0:26:45 | 0:26:48 | |
the baby's head is about nine centimetres in diameter. | 0:26:48 | 0:26:52 | |
Now it's always been thought that there are constraints on the width | 0:26:52 | 0:26:55 | |
of the pelvis, which are all about walking on two legs, | 0:26:55 | 0:26:59 | |
that we can't actually push the hips any further apart | 0:26:59 | 0:27:03 | |
because that would make walking inefficient, and so that means, | 0:27:03 | 0:27:06 | |
for our big-brained babies, | 0:27:06 | 0:27:09 | |
they couldn't actually stay in the womb any longer, | 0:27:09 | 0:27:11 | |
because their heads would be too big to fit out through this birth canal. | 0:27:11 | 0:27:16 | |
And so our babies are born | 0:27:16 | 0:27:19 | |
at a relatively early stage of development. | 0:27:19 | 0:27:22 | |
Our new born babies are helpless. | 0:27:22 | 0:27:24 | |
'And that is one of the most puzzling paradoxes | 0:27:29 | 0:27:32 | |
'about being human.' | 0:27:32 | 0:27:34 | |
'For all our brilliance as a species, compared with other apes, | 0:27:34 | 0:27:38 | |
'our babies come into the world a bit useless.' | 0:27:38 | 0:27:43 | |
'For decades, we've assumed that our helpless babies are an unfortunate | 0:27:46 | 0:27:50 | |
'consequence of walking upright and having big brains.' | 0:27:50 | 0:27:55 | |
'It's called the obstetric dilemma.' | 0:27:55 | 0:27:58 | |
'It's in all the textbooks.' | 0:27:58 | 0:28:00 | |
'It's what I was taught at university | 0:28:00 | 0:28:02 | |
'and it's what I've gone on to teach others.' | 0:28:02 | 0:28:05 | |
'The female pelvis is struggling to do two different jobs, | 0:28:05 | 0:28:08 | |
'and we're stuck with these helpless babies.' | 0:28:08 | 0:28:11 | |
'If we could explain this dilemma, we'd start to open the door | 0:28:22 | 0:28:26 | |
'to a treasure trove of insights about being human...' | 0:28:26 | 0:28:29 | |
'..and there's some science emerging from the east coast of America | 0:28:31 | 0:28:34 | |
'that's shaking up the traditional view of women's hips.' | 0:28:34 | 0:28:39 | |
'Dr Holly Dunsworth decided that the female pelvis | 0:28:42 | 0:28:45 | |
'deserved a closer examination.' | 0:28:45 | 0:28:48 | |
It does seem peculiar, I mean, it really does mark us out amongst | 0:28:49 | 0:28:53 | |
all the other apes that childbirth for humans is...is difficult. | 0:28:53 | 0:28:58 | |
It's much more difficult than it is in chimpanzees and gorillas. | 0:28:58 | 0:29:01 | |
I know this from personal experience, | 0:29:01 | 0:29:03 | |
so what is it about our evolution that sets up this problem? | 0:29:03 | 0:29:08 | |
It's a dilemma. We have a tight fit. | 0:29:10 | 0:29:14 | |
We've got these two exceptional conditions. | 0:29:14 | 0:29:17 | |
We've got this funny way of getting around that we're doing right now, | 0:29:17 | 0:29:20 | |
and we've got these huge brains on top of our heads, | 0:29:20 | 0:29:24 | |
and natural selection acting on those two things | 0:29:24 | 0:29:28 | |
has come together and created this very difficult childbirth. | 0:29:28 | 0:29:33 | |
So is it a compromise, then? | 0:29:33 | 0:29:35 | |
The female pelvis is a compromise between something | 0:29:35 | 0:29:37 | |
that needs to be wide to let a large-brained baby out, | 0:29:37 | 0:29:43 | |
but needs to be narrow in order to make walking efficient? | 0:29:43 | 0:29:48 | |
Right, right. | 0:29:48 | 0:29:49 | |
And that's the obstetric dilemma, and it's unique to humans. | 0:29:49 | 0:29:53 | |
So the idea is that ideally we'd kind of want to get our pelvis | 0:29:53 | 0:29:58 | |
a bit wider, but actually, female pelves | 0:29:58 | 0:30:01 | |
are already making us less efficient | 0:30:01 | 0:30:03 | |
than men at walking and running, and we can't push it any further? | 0:30:03 | 0:30:08 | |
Right. | 0:30:08 | 0:30:09 | |
But as this hypothesis goes, they can't get any wider | 0:30:09 | 0:30:14 | |
or else women would be even worse at walking and running | 0:30:14 | 0:30:18 | |
than we already are, and everything would fall to pieces. | 0:30:18 | 0:30:21 | |
Yeah, that you'd end up kind of waddling along, | 0:30:21 | 0:30:23 | |
and it would be really inefficient. | 0:30:23 | 0:30:25 | |
Right. You'd never escape a sabre-toothed cat, you know. | 0:30:25 | 0:30:27 | |
'What's amazing is that in all these decades, no one has ever thought | 0:30:32 | 0:30:36 | |
'to question the assumptions that underlie the obstetric dilemma, | 0:30:36 | 0:30:41 | |
'or the suggestion that women are rubbish at running.' | 0:30:41 | 0:30:44 | |
'Until now.' | 0:30:46 | 0:30:47 | |
'Together with her colleagues, Herman Pontzer and Anna Warriner, | 0:30:52 | 0:30:56 | |
'Holly set about exhaustively testing the assumptions | 0:30:56 | 0:30:59 | |
'about the female pelvis...' | 0:30:59 | 0:31:01 | |
'..and she's invited me to Herman's lab in New York to see the results.' | 0:31:02 | 0:31:06 | |
Awesome, thank you. | 0:31:16 | 0:31:18 | |
So, Holly, this was part of the original research that you did | 0:31:19 | 0:31:21 | |
with Herman and Anna, looking at the efficiency | 0:31:21 | 0:31:24 | |
of running and walking in women and men. | 0:31:24 | 0:31:27 | |
I saw them starting to do this sort of research, | 0:31:27 | 0:31:29 | |
and it fit really well with the doubts I was having about | 0:31:29 | 0:31:32 | |
all of this obstetric dilemma business. | 0:31:32 | 0:31:35 | |
Yeah, yeah. | 0:31:35 | 0:31:36 | |
So I'd been thinking about how kind of strange this idea was | 0:31:36 | 0:31:41 | |
that our pelvis was limiting our gestation length | 0:31:41 | 0:31:44 | |
and it was sort of, like, you know, an epiphany. | 0:31:44 | 0:31:47 | |
'The team set out to explore the assumption that women, | 0:31:56 | 0:31:59 | |
'with our wide hips especially adapted for birth, | 0:31:59 | 0:32:02 | |
'are less efficient at walking and running than men.' | 0:32:02 | 0:32:05 | |
'Using a motion capture system and a force plate, Anna devised an | 0:32:07 | 0:32:11 | |
'experiment to analyse the internal mechanics of hip and leg bones.' | 0:32:11 | 0:32:16 | |
'Until now it had always been assumed that women's hip muscles, | 0:32:18 | 0:32:21 | |
'being attached to a wider pelvis, | 0:32:21 | 0:32:24 | |
'had to work harder than those of men.' | 0:32:24 | 0:32:27 | |
Go ahead, Lesley. | 0:32:27 | 0:32:28 | |
And there she comes. | 0:32:29 | 0:32:30 | |
That's great, isn't it? | 0:32:32 | 0:32:34 | |
A pair of legs walking about. | 0:32:34 | 0:32:36 | |
'But what the experiments revealed was that throughout each step, | 0:32:38 | 0:32:43 | |
'the angle of the pelvis is constantly adjusted | 0:32:43 | 0:32:46 | |
'to minimise the necessary work.' | 0:32:46 | 0:32:50 | |
'Women's hips may be wider, but the wobbling makes a key difference. | 0:32:50 | 0:32:54 | |
As you sort of move through the course of the step, | 0:32:56 | 0:32:58 | |
she's adjusting her balance and her weight. | 0:32:58 | 0:33:01 | |
So from this wavering around, | 0:33:03 | 0:33:05 | |
you start to suspect that it's not going to be so simple | 0:33:05 | 0:33:09 | |
saying that women have wider pelves and therefore their muscles around | 0:33:09 | 0:33:12 | |
their hips need to work harder when you're walking and running? | 0:33:12 | 0:33:15 | |
Yeah, exactly. Exactly right. | 0:33:15 | 0:33:16 | |
'The result of all these measurements | 0:33:19 | 0:33:21 | |
'is to show that, for decades, we got it wrong.' | 0:33:21 | 0:33:26 | |
This is really important because it means that there isn't a constraint | 0:33:26 | 0:33:30 | |
on how wide the pelvis is in terms of being efficient at bipedalism. | 0:33:30 | 0:33:34 | |
These data indicate that there is no effect | 0:33:34 | 0:33:38 | |
of having a pelvis adapted for birth on your efficiency | 0:33:38 | 0:33:42 | |
during walking or running. | 0:33:42 | 0:33:44 | |
'The female pelvis is not, it seems, compromised at all, | 0:33:46 | 0:33:51 | |
'and women, with our wide hips, | 0:33:51 | 0:33:52 | |
'are just as efficient at walking and running as men.' | 0:33:52 | 0:33:55 | |
'So why didn't the female pelvis evolve to be even wider, to allow | 0:33:59 | 0:34:04 | |
'our babies to grow a bit bigger and to be a bit less helpless at birth?' | 0:34:04 | 0:34:08 | |
'The answer was revealed to me through an experiment | 0:34:11 | 0:34:14 | |
'that involved me drinking some specially-labelled water | 0:34:14 | 0:34:17 | |
'and then sending Herman frozen samples of my urine.' | 0:34:17 | 0:34:21 | |
So, Herman, I recognise these little plastic tubes. | 0:34:21 | 0:34:25 | |
That's right. | 0:34:25 | 0:34:27 | |
So we had you drink a small dose of what | 0:34:27 | 0:34:29 | |
we call doubly-labelled water, | 0:34:29 | 0:34:31 | |
and then we collected a bunch of urine samples as we have here, | 0:34:31 | 0:34:34 | |
and we can actually calculate how much carbon dioxide you're producing | 0:34:34 | 0:34:38 | |
every day, and therefore how many calories your body | 0:34:38 | 0:34:40 | |
is burning every day. | 0:34:40 | 0:34:41 | |
It's the gold standard for measuring energy | 0:34:41 | 0:34:43 | |
expenditure in people during normal life. | 0:34:43 | 0:34:47 | |
'The length of gestation, it turns out, has nothing to do | 0:34:47 | 0:34:50 | |
'with the width of the birth canal, but everything to do with energy.' | 0:34:50 | 0:34:55 | |
So here we have the energy that the foetus is using. This is | 0:34:55 | 0:34:58 | |
based on data from other studies, and we see it goes up exponentially. | 0:34:58 | 0:35:02 | |
As the kid gets bigger, it needs more and more and more energy, | 0:35:02 | 0:35:06 | |
and we take a look at the energy | 0:35:06 | 0:35:08 | |
that mums actually burn during pregnancy. | 0:35:08 | 0:35:12 | |
We see it goes up quite quickly at first, but then it levels off. | 0:35:12 | 0:35:16 | |
It hits a ceiling. You just can't do any more. | 0:35:16 | 0:35:18 | |
Your body is limited in how much energy it can burn. | 0:35:18 | 0:35:21 | |
Presumably then it doesn't matter if I were to eat more, | 0:35:21 | 0:35:23 | |
so if I were to eat a few more hundred calories, it doesn't matter. | 0:35:23 | 0:35:26 | |
I'm not going to be able to give that to the foetus | 0:35:26 | 0:35:28 | |
because I can't actually metabolise any quicker. | 0:35:28 | 0:35:30 | |
That's right. There's a limit to how much energy your body can put through. | 0:35:30 | 0:35:33 | |
There's a hard limit on that. | 0:35:33 | 0:35:35 | |
If gestation continued for another month, | 0:35:35 | 0:35:37 | |
you'd shoot through that ceiling. | 0:35:37 | 0:35:38 | |
It would be metabolically impossible to do. | 0:35:38 | 0:35:40 | |
So instead, what you do is, as you approach nine months, | 0:35:40 | 0:35:43 | |
you give birth. | 0:35:43 | 0:35:44 | |
Right. | 0:35:44 | 0:35:45 | |
So we take a look at your data, right? | 0:35:45 | 0:35:47 | |
We've got you plotted on here. You're right there. | 0:35:47 | 0:35:50 | |
Ah, right, so... | 0:35:50 | 0:35:52 | |
So you're about five months in. | 0:35:52 | 0:35:54 | |
That's exactly... So you could tell how many months pregnant I was | 0:35:54 | 0:35:58 | |
by looking at this without actually...without me telling you? | 0:35:58 | 0:36:01 | |
Without you telling me, | 0:36:01 | 0:36:03 | |
-I could know that you've approached that ceiling. -Yeah. | 0:36:03 | 0:36:05 | |
You were just about at the maximum energy expenditure | 0:36:05 | 0:36:08 | |
-that we could expect your body to be able to do. -Yeah. | 0:36:08 | 0:36:11 | |
It'll get to be unsustainable at just about nine months in, | 0:36:11 | 0:36:14 | |
and you'll give birth. | 0:36:14 | 0:36:15 | |
This is fascinating. | 0:36:15 | 0:36:16 | |
It means that the baby comes out at a moment in time | 0:36:16 | 0:36:21 | |
when it is just about to start demanding more energy | 0:36:21 | 0:36:24 | |
from the mother than the mother can possibly give it via the placenta. | 0:36:24 | 0:36:27 | |
That's right. | 0:36:27 | 0:36:28 | |
'This research is, I think, really revolutionary.' | 0:36:34 | 0:36:39 | |
'What it reveals is that however wide our hips became, | 0:36:39 | 0:36:43 | |
'our babies couldn't stay inside the womb a moment longer than they do.' | 0:36:43 | 0:36:49 | |
It makes me look at the female pelvis in a new light | 0:36:51 | 0:36:54 | |
and say, "Well, actually this isn't a design compromise." | 0:36:54 | 0:36:57 | |
"It works very well." | 0:36:57 | 0:36:59 | |
But also, it makes me look at those helpless babies | 0:36:59 | 0:37:01 | |
in a new light as well, because they work well, too. | 0:37:01 | 0:37:04 | |
-Right. -You know, on the one hand, we say they're coming into the world | 0:37:04 | 0:37:08 | |
too early, but it works. It works within the context of human society | 0:37:08 | 0:37:12 | |
because otherwise we wouldn't be here in the numbers that we are. | 0:37:12 | 0:37:16 | |
We gestate as long as we should for primates of our body size, | 0:37:16 | 0:37:18 | |
and maybe a little longer. | 0:37:18 | 0:37:20 | |
We give birth to babies at the right size for primates of our body size, | 0:37:20 | 0:37:25 | |
or maybe a little larger. | 0:37:25 | 0:37:26 | |
It's just that once they're born, they have so much more growth | 0:37:28 | 0:37:32 | |
to experience, particularly in the brain, | 0:37:32 | 0:37:36 | |
and while we are achieving that growth, | 0:37:36 | 0:37:38 | |
we also have much more to learn about how to be a human | 0:37:38 | 0:37:42 | |
than a chimp has to learn about how to be a chimp. | 0:37:42 | 0:37:45 | |
'It turns out, then, that the very nature of human birth, | 0:38:05 | 0:38:09 | |
'the fact that I will deliver a seemingly underdeveloped baby, | 0:38:09 | 0:38:13 | |
'is in fact a key ingredient in my son's path to becoming human.' | 0:38:13 | 0:38:18 | |
'Our babies may be born helpless, but far from being a dumb idea, | 0:38:23 | 0:38:28 | |
'it turns out to be one of the smartest moves we ever made... | 0:38:28 | 0:38:32 | |
'..because in order to develop their full human potential, | 0:38:34 | 0:38:37 | |
'the brains of our human babies need the stimulation of other humans.' | 0:38:37 | 0:38:43 | |
'Somehow, the secrets of being human are locked away inside the brain, | 0:38:54 | 0:39:00 | |
'the most complicated, mysterious object in the universe.' | 0:39:00 | 0:39:05 | |
'But it's an organ that keeps its secrets wrapped up tight.' | 0:39:07 | 0:39:11 | |
So this is a brain which has been removed from a skull and you can | 0:39:11 | 0:39:15 | |
see that it's still got its coverings on it, its meninges, | 0:39:15 | 0:39:18 | |
so there are several layers of membrane | 0:39:18 | 0:39:21 | |
around the outside of the brain. | 0:39:21 | 0:39:23 | |
In order to see the brain, we're going to have to peel this back. | 0:39:28 | 0:39:32 | |
There we go, it's just going to come away actually. | 0:39:32 | 0:39:35 | |
I just need to get an edge and then when you've got an edge, | 0:39:41 | 0:39:45 | |
it peels off quite nicely. | 0:39:45 | 0:39:47 | |
It's rather like peeling the pith off an orange. | 0:39:48 | 0:39:51 | |
And once I've cleared this layer away, | 0:39:53 | 0:39:56 | |
we're starting to see really nicely the texture of the surface | 0:39:56 | 0:40:00 | |
of the brain, so this is the cerebral cortex that we're starting | 0:40:00 | 0:40:03 | |
to see here, and you can see how heavily folded it is. | 0:40:03 | 0:40:07 | |
This is one of the characteristics of a human brain, | 0:40:07 | 0:40:11 | |
that the cortex is incredibly heavily folded. | 0:40:11 | 0:40:13 | |
You get the impression that there's a lot of information | 0:40:13 | 0:40:16 | |
being packed into a small area. | 0:40:16 | 0:40:18 | |
So that's it, this is the brain, nicely cleaned up. | 0:40:22 | 0:40:25 | |
And I think that however many times I do this, | 0:40:27 | 0:40:31 | |
it is utterly extraordinary to be holding in my hands | 0:40:31 | 0:40:36 | |
the organ that, more than any other part of our body, is us. | 0:40:36 | 0:40:42 | |
It seems utterly extraordinary that this actually quite | 0:40:42 | 0:40:47 | |
unprepossessing physical object contains somebody's personality, | 0:40:47 | 0:40:53 | |
the seat of their emotions, and it was where they experienced the world | 0:40:53 | 0:40:58 | |
and where they held their memories. | 0:40:58 | 0:41:01 | |
It is just quite remarkable. | 0:41:02 | 0:41:05 | |
'Despite several hundred years of probing, exactly how the | 0:41:10 | 0:41:15 | |
'human brain achieves all that remains shrouded in mystery.' | 0:41:15 | 0:41:20 | |
'What little we do know only makes it seem all the more extraordinary.' | 0:41:20 | 0:41:24 | |
'We know that a human brain contains a staggering one hundred billion | 0:41:26 | 0:41:30 | |
'neurons, but it's not just the number of brain cells that matters.' | 0:41:30 | 0:41:36 | |
'What makes the human brain so incredible is the huge number | 0:41:36 | 0:41:40 | |
'of connections between those cells, the vastly complex internal wiring.' | 0:41:40 | 0:41:46 | |
So, I'm going to start slicing it | 0:41:47 | 0:41:51 | |
with this incredibly sharp brain knife. | 0:41:51 | 0:41:53 | |
'Human brains have about 40% more connections between cortical neurons | 0:41:55 | 0:42:00 | |
'than the brains of other primates.' | 0:42:00 | 0:42:03 | |
'That's around a hundred trillion connections in every brain.' | 0:42:03 | 0:42:09 | |
'We know the basic anatomy quite well | 0:42:09 | 0:42:11 | |
'but if we want to begin to understand this extraordinary level | 0:42:11 | 0:42:15 | |
'of complexity, we need to look at the brain with a whole new toolkit.' | 0:42:15 | 0:42:20 | |
'To discover exactly how our human brains came to be | 0:42:47 | 0:42:51 | |
'so highly connected, I've come to America to find out about the latest | 0:42:51 | 0:42:57 | |
'research into the human genome, the recipe for making a human.' | 0:42:57 | 0:43:02 | |
'There are three billion letters in the human genome, | 0:43:13 | 0:43:16 | |
'stored in the 23 chromosomes that hold this recipe | 0:43:16 | 0:43:20 | |
'in every cell of our bodies.' | 0:43:20 | 0:43:23 | |
'Each letter, A, G, C and T, represents one of the four bases, | 0:43:23 | 0:43:28 | |
'the chemical building blocks, which make up the long strands of DNA.' | 0:43:28 | 0:43:33 | |
'And for geneticists, like Franck Palleux, these letters hold | 0:43:35 | 0:43:38 | |
'the clues that could unlock the secrets of the human brain.' | 0:43:38 | 0:43:43 | |
So this is chromosome one written out? | 0:43:44 | 0:43:46 | |
Uh-huh. | 0:43:46 | 0:43:47 | |
-And how much of chromosome one is it? -Just one fiftieth. | 0:43:51 | 0:43:55 | |
And there's a thousand pages here. | 0:43:55 | 0:43:57 | |
A thousand pages, 45,000 base pairs per page. | 0:43:59 | 0:44:03 | |
'The whole genome would fill 670,000 sheets of paper | 0:44:06 | 0:44:11 | |
'and at this rate, it would take me and Franck more than a week, | 0:44:11 | 0:44:15 | |
'working 24 hours a day to lay out the entire human code.' | 0:44:15 | 0:44:20 | |
It's amazing to think that our entire life, you know, | 0:44:27 | 0:44:32 | |
lies in this code. | 0:44:32 | 0:44:33 | |
'And if we want to find out what makes the human code unique, | 0:44:44 | 0:44:47 | |
'we need to compare our own recipe with others.' | 0:44:47 | 0:44:52 | |
'The breakthrough that lets us do this is that as well as the | 0:44:52 | 0:44:56 | |
'human genome, we now have sequenced the genomes of many other animals.' | 0:44:56 | 0:45:01 | |
'But finding the crucial sections of code | 0:45:04 | 0:45:07 | |
'that make us human is a monster puzzle.' | 0:45:07 | 0:45:10 | |
One of the important steps in this process to try to identify | 0:45:14 | 0:45:18 | |
what, in our genome, in the human genome, could underly what makes | 0:45:18 | 0:45:22 | |
us human, is to try to find differences at the base pair level, | 0:45:22 | 0:45:26 | |
in the coding sequences between us, basically our genome, | 0:45:26 | 0:45:31 | |
and the genome of our closest living relative at least, the chimpanzee. | 0:45:31 | 0:45:35 | |
'Franck has homed in on one particular change that is specific | 0:45:44 | 0:45:48 | |
'to humans which he believes could be fundamental.' | 0:45:48 | 0:45:52 | |
'It involves a gene called SRGAP2 that is found in all animals | 0:45:52 | 0:45:57 | |
'and mainly affects the developing brain, | 0:45:57 | 0:46:01 | |
'but in humans, and only in humans, this gene is duplicated four times.' | 0:46:01 | 0:46:07 | |
This gene starts at page 814 and the very beginning of the sequence | 0:46:09 | 0:46:16 | |
is this sequence, CACAGGAA, and so the gene starts here. | 0:46:16 | 0:46:22 | |
I can't believe you can recognise that. | 0:46:22 | 0:46:24 | |
The gene is about 125,000 base pairs long, | 0:46:27 | 0:46:32 | |
so it goes from page 814 to 840. | 0:46:32 | 0:46:36 | |
So that is a single gene, all of that? | 0:46:36 | 0:46:38 | |
That's a single gene. Exactly. | 0:46:38 | 0:46:40 | |
And the sequence basically ends right here, TGCTGCGT. | 0:46:41 | 0:46:48 | |
So this is a gene that we have in common with the other apes, | 0:46:48 | 0:46:54 | |
but we've got three more copies of it? | 0:46:54 | 0:46:57 | |
Correct. We've got three more copies of this gene. | 0:46:57 | 0:47:00 | |
That would be in volume 30. | 0:47:00 | 0:47:03 | |
Remember, this is only one volume for chromosome one. | 0:47:03 | 0:47:07 | |
The full sequence of chromosome one would take about 50 volumes, right? | 0:47:07 | 0:47:10 | |
So the copies would be in volume 30, 31, 32. | 0:47:10 | 0:47:13 | |
'What Franck discovered was that the human duplication of SRGAP2 | 0:47:18 | 0:47:21 | |
'has a dramatic effect on the connectivity of neurons.' | 0:47:21 | 0:47:26 | |
'By splicing the human duplicate into mouse DNA, he showed that | 0:47:27 | 0:47:31 | |
'the mouse neurons increased their ability to form connections.' | 0:47:31 | 0:47:36 | |
So this is a normal mouse brain, and that's what happens | 0:47:39 | 0:47:41 | |
-if you put that duplicated bit of SRGAP2? -Exactly. | 0:47:41 | 0:47:46 | |
You form many, many more spines, basically and we have other evidence | 0:47:46 | 0:47:49 | |
to show that those neurons are actually hyper-connected there. | 0:47:49 | 0:47:54 | |
You increase by about 40% the total number of connections | 0:47:54 | 0:47:57 | |
made onto these neurons. | 0:47:57 | 0:47:58 | |
Why is it so exciting? | 0:47:58 | 0:48:00 | |
Basically, humans stand apart completely. | 0:48:00 | 0:48:03 | |
Human neurons have about 40% to 50% increase in the total number | 0:48:03 | 0:48:07 | |
of connections made onto those neurons, which we know is a feature | 0:48:07 | 0:48:11 | |
that sort of distinguishes human neurons, basically. | 0:48:11 | 0:48:15 | |
For me, this is when genetics gets really exciting, because we've got | 0:48:15 | 0:48:18 | |
an actual observable difference in the brains of chimpanzees | 0:48:18 | 0:48:22 | |
versus the brains of humans, and now we've got something in the genome | 0:48:22 | 0:48:27 | |
which could explain that actual physical difference in our brains. | 0:48:27 | 0:48:30 | |
Exactly. | 0:48:30 | 0:48:31 | |
'Every nuance of human behaviour somehow springs from this massive, | 0:48:43 | 0:48:49 | |
'branching network of hyper-connected neurons | 0:48:49 | 0:48:52 | |
'in our huge brains.' | 0:48:52 | 0:48:55 | |
'It's what makes the human brain so brilliant, | 0:48:55 | 0:48:58 | |
'this complex wiring diagram of connections that holds our memories, | 0:48:58 | 0:49:04 | |
'our emotions, our ability to row a boat or to draw.' | 0:49:04 | 0:49:09 | |
'It's what makes us human.' | 0:49:11 | 0:49:12 | |
'But to even contemplate drawing this diagram, | 0:49:15 | 0:49:18 | |
'we need a whole new way of looking.' | 0:49:18 | 0:49:21 | |
'I've come to Harvard University to meet | 0:49:34 | 0:49:36 | |
'one of the world's foremost neuroscientists, | 0:49:36 | 0:49:39 | |
'who has set himself a task of overwhelming ambition.' | 0:49:39 | 0:49:42 | |
'Jeff Lichtman is planning to create the ultimate map, | 0:49:46 | 0:49:50 | |
'a wiring diagram of the human brain, one connection at a time.' | 0:49:50 | 0:49:55 | |
'If he can ever complete it, this monumental map could finally | 0:50:00 | 0:50:04 | |
'reveal the mystifying workings of the human brain.' | 0:50:04 | 0:50:07 | |
'But before he can begin, Jeff is first attempting to map | 0:50:11 | 0:50:14 | |
'the connections in the more modestly-sized mouse brain.' | 0:50:14 | 0:50:18 | |
This is a little plastic block where the brain is embedded. | 0:50:20 | 0:50:24 | |
That's not a whole mouse brain in there? | 0:50:24 | 0:50:25 | |
No, it's probably about a quarter of a mouse brain | 0:50:25 | 0:50:27 | |
so in order to see what's going on, we have to slice it extremely thin, | 0:50:27 | 0:50:31 | |
so we're slicing these brains with a diamond knife. | 0:50:31 | 0:50:35 | |
That diamond knife cuts off a section that's about 30 nanometres | 0:50:35 | 0:50:39 | |
thick, so that's 300 hydrogen atoms. | 0:50:39 | 0:50:43 | |
You know, it's just very small, it's about a thousandth the thickness | 0:50:43 | 0:50:47 | |
of a human hair, so that you end up with a very, very, very long tape | 0:50:47 | 0:50:52 | |
that has many, many, many thousands and thousands of sections on it. | 0:50:52 | 0:50:57 | |
I can just about see the sections on there actually, | 0:50:57 | 0:50:59 | |
those little rectangles. | 0:50:59 | 0:51:01 | |
Yes, and those sections are like frames of a movie. | 0:51:01 | 0:51:04 | |
'Every one of those thousands of wafer-thin sections | 0:51:05 | 0:51:09 | |
'must then be individually scanned.' | 0:51:09 | 0:51:12 | |
So this is actually real time, this is the images actually | 0:51:12 | 0:51:15 | |
coming in from the electron microscope here? | 0:51:15 | 0:51:19 | |
At 20 million pixels per second. | 0:51:19 | 0:51:22 | |
This will take 15 minutes, and then we do the next one, | 0:51:22 | 0:51:25 | |
and we have 10,000 to do in this data set. | 0:51:25 | 0:51:27 | |
That's three months. | 0:51:28 | 0:51:29 | |
The numbers are just astronomical, aren't they? | 0:51:29 | 0:51:32 | |
It is like looking at galaxies and counting stars. | 0:51:32 | 0:51:36 | |
So in three months, you will have imaged a cube, | 0:51:39 | 0:51:44 | |
a three-dimensional cube, | 0:51:44 | 0:51:46 | |
which actually measures a quarter of a millimetre in each direction? | 0:51:46 | 0:51:51 | |
That's right, roughly. | 0:51:51 | 0:51:52 | |
In order to image a millimetre cubed, then, | 0:51:52 | 0:51:56 | |
that would be 16 times. | 0:51:56 | 0:51:58 | |
Yeah, so about four years. | 0:51:58 | 0:52:01 | |
Then how long to image a whole mouse brain? | 0:52:01 | 0:52:03 | |
You'd have to do that about a thousand times, | 0:52:03 | 0:52:06 | |
so that's about, what, 4,000 years. | 0:52:06 | 0:52:08 | |
OK, and how long to image a human brain? | 0:52:08 | 0:52:11 | |
That would be a thousand times longer, so about... | 0:52:11 | 0:52:14 | |
Four million years! | 0:52:14 | 0:52:16 | |
So not in my lifetime, at this speed. | 0:52:16 | 0:52:20 | |
Jeff, you've got to hope it gets quicker. | 0:52:20 | 0:52:22 | |
'A multi-million year timescale may sound daunting, | 0:52:25 | 0:52:28 | |
'but technology advances, and already Jeff and his team | 0:52:28 | 0:52:32 | |
'are giving us an incredible glimpse | 0:52:32 | 0:52:35 | |
'into the inner workings of the brain.' | 0:52:35 | 0:52:37 | |
I've asked one of my colleagues, Bobby Kestheri, | 0:52:37 | 0:52:40 | |
to hold one of these wafers that is being imaged really still | 0:52:40 | 0:52:44 | |
so that we can zoom up on here, and he's very courageous. | 0:52:44 | 0:52:48 | |
He's going to jump into the electron microscope in a second. | 0:52:48 | 0:52:51 | |
And this is one of those sections. | 0:52:51 | 0:52:53 | |
So that's just like one of the sections that we saw | 0:52:53 | 0:52:56 | |
-coming off the... -That's right. | 0:52:56 | 0:52:57 | |
'The images are so detailed they allow Jeff to zoom in right down | 0:52:58 | 0:53:02 | |
'to the scale of individual neurons...' | 0:53:02 | 0:53:05 | |
Those big white circles are nerve cells. | 0:53:05 | 0:53:08 | |
'..revealing, at the smaller scale, the cross-section | 0:53:08 | 0:53:11 | |
'of the maze of wires at the heart of the brain.' | 0:53:11 | 0:53:15 | |
As we zoom up more, | 0:53:15 | 0:53:17 | |
we see, finally, an axon making a synapse onto a dendrite of a cell. | 0:53:17 | 0:53:22 | |
'Jeff can then reassemble the tiny cube of brain inside a computer, | 0:53:29 | 0:53:35 | |
'piling up the brain slices, tracking the complex path | 0:53:35 | 0:53:38 | |
'of each neuron with a different colour and creating a 3-D model | 0:53:38 | 0:53:43 | |
'of the individual wires that connect the brain.' | 0:53:43 | 0:53:46 | |
'The wires are packed incredibly densely.' | 0:53:48 | 0:53:51 | |
'This shows the wiring in just one five-millionth | 0:53:51 | 0:53:55 | |
'of a cubic millimetre of brain.' | 0:53:55 | 0:53:58 | |
So that's the circuitry, that's your three-dimensional wiring diagram? | 0:53:58 | 0:54:02 | |
It's quite beautiful to look at the brain this way and to realise | 0:54:02 | 0:54:06 | |
this is an infinitesimally small piece of a very large brain. | 0:54:06 | 0:54:11 | |
I think for humans trying to contemplate this, | 0:54:16 | 0:54:19 | |
the difficulty is that it's very hard for a human brain | 0:54:19 | 0:54:24 | |
to understand the extraordinary complexity of a human brain. | 0:54:24 | 0:54:28 | |
We think we're really smart and that we can understand everything, | 0:54:28 | 0:54:31 | |
but, in fact, the machine we're using to allow us | 0:54:31 | 0:54:35 | |
to understand things is way more complicated | 0:54:35 | 0:54:37 | |
than the rather simple thoughts that come out of our minds. | 0:54:37 | 0:54:42 | |
'Our brains are not only large, they have many more connections | 0:54:44 | 0:54:48 | |
'than the brains of any other animal.' | 0:54:48 | 0:54:50 | |
'Ultimately, by reaching down to these individual neurons, | 0:54:51 | 0:54:55 | |
'by mapping the trillions of connections, | 0:54:55 | 0:54:58 | |
'we may be able to pinpoint exactly how these hyper-connections | 0:54:58 | 0:55:03 | |
'translate into the psychology and behaviour of human beings.' | 0:55:03 | 0:55:08 | |
For most animals, their brains are largely encoded by their genes. | 0:55:09 | 0:55:14 | |
A fruit fly does not have to go to school to fly | 0:55:14 | 0:55:18 | |
and doesn't even have to learn how to fly. | 0:55:18 | 0:55:21 | |
It knows how to fly from the get-go. | 0:55:21 | 0:55:23 | |
In humans, it's very hard to know | 0:55:23 | 0:55:25 | |
what kinds of behaviours we have intrinsically. | 0:55:25 | 0:55:27 | |
Probably coughing, pooping, peeing and a few other things | 0:55:27 | 0:55:31 | |
we definitely can do, breathing, | 0:55:31 | 0:55:33 | |
but learning how to button your shirt or read or use the language | 0:55:33 | 0:55:37 | |
you think with, all of that requires learning. | 0:55:37 | 0:55:41 | |
You're an obligate learner. | 0:55:41 | 0:55:43 | |
It's not an extra, it's an essential ingredient of being a human being. | 0:55:43 | 0:55:48 | |
So humans have essentially got more behaviour which is learned | 0:55:48 | 0:55:52 | |
and less behaviour which is programmed right from the beginning? | 0:55:52 | 0:55:55 | |
Yes, we end up with brains that are capable of all these amazing things, | 0:55:55 | 0:56:01 | |
but we come into the world seemingly knowing much less about the world | 0:56:01 | 0:56:05 | |
than almost any other animal. | 0:56:05 | 0:56:07 | |
It takes us a year to walk, 18 years to leave the nest, | 0:56:07 | 0:56:11 | |
and during all that time, humans are building up information | 0:56:11 | 0:56:15 | |
about how to behave, and the neural circuits for behaviour | 0:56:15 | 0:56:19 | |
based on experience, rather than based on genetic information. | 0:56:19 | 0:56:24 | |
A human today, as an adult, is doing an entirely different set of things | 0:56:24 | 0:56:30 | |
than humans were doing thousands of years ago, | 0:56:30 | 0:56:32 | |
and any young person will tell you that their parents seem | 0:56:32 | 0:56:35 | |
old-fashioned and their grandparents seem positively ancient, | 0:56:35 | 0:56:40 | |
but imagine, you know, what people were doing | 0:56:40 | 0:56:42 | |
thousands or tens of thousands of years ago. | 0:56:42 | 0:56:45 | |
It's because humans constantly evolve in a cultural way, | 0:56:45 | 0:56:48 | |
even though our genetic heritage has not changed very rapidly. | 0:56:48 | 0:56:52 | |
That's the genius of being a human being. | 0:56:52 | 0:56:54 | |
I really love the beauty in Jeff's work, | 0:57:14 | 0:57:18 | |
those fantastic rainbow-coloured neurons all connected together | 0:57:18 | 0:57:23 | |
in incredibly complex and dense networks. | 0:57:23 | 0:57:27 | |
And, of course, all those connections are being made | 0:57:27 | 0:57:31 | |
at the moment inside the brain of my baby inside my womb... | 0:57:31 | 0:57:36 | |
..and that's an extraordinary thought in itself, but I think the | 0:57:37 | 0:57:43 | |
point at which he will really start to become human is the point where | 0:57:43 | 0:57:48 | |
we get that interplay between nature and nurture, | 0:57:48 | 0:57:52 | |
the process that really carves out a human mind, | 0:57:52 | 0:57:56 | |
and that starts at birth. | 0:57:56 | 0:57:59 | |
'And here he is, my beautiful baby boy.' | 0:58:05 | 0:58:09 | |
'He's very, very new, and he's certainly very helpless.' | 0:58:09 | 0:58:14 | |
'He's also got a big head.' | 0:58:15 | 0:58:17 | |
'He is full of potential, having emerged into the world, | 0:58:20 | 0:58:25 | |
'and he's ready to learn to become a human being.' | 0:58:25 | 0:58:28 | |
Subtitles by Red Bee Media | 0:58:59 | 0:59:02 |