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There's a lot of noise in this operating theatre, | 0:00:05 | 0:00:08 | |
but I want you to listen out for something. | 0:00:08 | 0:00:11 | |
In preparation for this patient's neurosurgery, | 0:00:11 | 0:00:15 | |
doctors have put electrodes into his brain to record the activity. | 0:00:15 | 0:00:19 | |
Through a speaker, we can hear the firing of individual neurons. | 0:00:21 | 0:00:25 | |
He's agreed to help me with an experiment about decision-making. | 0:00:28 | 0:00:32 | |
OK. | 0:00:34 | 0:00:35 | |
Can you tell me what you're seeing? So this is very simple. | 0:00:35 | 0:00:39 | |
'Without him knowing it, | 0:00:39 | 0:00:40 | |
'his brain will decide whether this is a rabbit, or an ostrich. | 0:00:40 | 0:00:45 | |
'It could be seen as either.' | 0:00:45 | 0:00:46 | |
What do you say, an ostrich? | 0:00:48 | 0:00:50 | |
'As his brain comes to a decision, | 0:00:51 | 0:00:53 | |
'there's a subtle change in the audio. | 0:00:53 | 0:00:55 | |
'It's buried in that pup-pup-pup.' | 0:00:57 | 0:00:59 | |
SCRATCHING SOUND | 0:00:59 | 0:01:01 | |
This is the sound of a decision getting made. | 0:01:02 | 0:01:05 | |
We're eavesdropping on single neurons working in consult | 0:01:05 | 0:01:08 | |
with billions of other neurons to land on a choice. | 0:01:08 | 0:01:12 | |
And this is what every decision | 0:01:12 | 0:01:14 | |
in the history of the human species looks like. | 0:01:14 | 0:01:17 | |
Every marriage proposal, every declaration of war, | 0:01:17 | 0:01:21 | |
every leap of imagination, every mission we've launched, | 0:01:21 | 0:01:24 | |
every bit of human magic looked just like this. | 0:01:24 | 0:01:28 | |
'Our brains are constantly making decisions. | 0:01:30 | 0:01:34 | |
'Some we're aware of, most we're not. | 0:01:34 | 0:01:37 | |
'Deciphering what we hear or see or smell, these are decisions. | 0:01:39 | 0:01:44 | |
'So is being afraid, falling in love, | 0:01:44 | 0:01:48 | |
'giving in, resisting. | 0:01:48 | 0:01:51 | |
'Decision-making is what allows us to navigate a course through life. | 0:01:51 | 0:01:56 | |
'And your lifetime of choices has sculpted you into the person | 0:01:58 | 0:02:01 | |
'you are right now.' | 0:02:01 | 0:02:04 | |
'No matter how easy your day seems, your brain is always hard at work. | 0:02:16 | 0:02:21 | |
'Making choices, weighing up different options. | 0:02:21 | 0:02:25 | |
'And it's often in a state of conflict. | 0:02:27 | 0:02:30 | |
'Locked in a great power struggle with itself. | 0:02:30 | 0:02:33 | |
'Let me show you what I mean. | 0:02:35 | 0:02:37 | |
'Right now, I have to make a momentous decision. | 0:02:39 | 0:02:42 | |
'Mint frozen yoghurt, or lemon? | 0:02:44 | 0:02:49 | |
'This is serious business because I like both.' | 0:02:49 | 0:02:52 | |
And inside my brain, this choice unleashes a whirlwind of activity. | 0:02:54 | 0:02:59 | |
Neurons are wildly getting in touch with one another. | 0:03:03 | 0:03:06 | |
They're forming competing networks. | 0:03:06 | 0:03:08 | |
One favours the zing of the zesty lemon. | 0:03:10 | 0:03:13 | |
The other, the freshness of the mint. | 0:03:13 | 0:03:15 | |
'When I finally go for the lemon, I have no real idea why I chose it. | 0:03:18 | 0:03:24 | |
'But if I could see under the hood, I would find | 0:03:24 | 0:03:27 | |
'that the lemon network has fought harder and won, | 0:03:27 | 0:03:30 | |
'squelching my mint network.' | 0:03:30 | 0:03:32 | |
But it's not just mint versus lemon. | 0:03:34 | 0:03:36 | |
I'm wondering whether to eat this yoghurt at all. | 0:03:36 | 0:03:38 | |
Because part of me wants it, | 0:03:38 | 0:03:40 | |
but part of me knows that it's fattening. | 0:03:40 | 0:03:42 | |
And it's because of this sort of conflict that we can get | 0:03:42 | 0:03:45 | |
angry at ourselves and cuss at ourselves and cajole ourselves. | 0:03:45 | 0:03:50 | |
Who's talking with whom, exactly? | 0:03:50 | 0:03:52 | |
It's only you, right? But it's different parts of you. | 0:03:52 | 0:03:55 | |
These rivalries are with us in every decision that we make. | 0:04:01 | 0:04:05 | |
They're usually so easily resolved that we're unaware of them. | 0:04:05 | 0:04:08 | |
But in some situations, they show themselves. | 0:04:09 | 0:04:13 | |
We can feel the tug of different networks. | 0:04:13 | 0:04:15 | |
'I'll show you what I mean. | 0:04:17 | 0:04:19 | |
'If I can find a willing volunteer.' | 0:04:19 | 0:04:22 | |
Excuse me, do you want to participate in an experiment? | 0:04:22 | 0:04:25 | |
-I don't think so. -OK. | 0:04:25 | 0:04:27 | |
Excuse me, do you guys want to participate in an experiment? | 0:04:28 | 0:04:31 | |
This will only take 30 seconds. | 0:04:31 | 0:04:33 | |
-We're running late. -OK. OK. | 0:04:33 | 0:04:35 | |
-Would you participate in an experiment for 30 seconds? -OK. -OK. | 0:04:42 | 0:04:45 | |
So here's what you're going to do. Put your hands out, OK, | 0:04:45 | 0:04:48 | |
-and I'm going to ask you to name the colour of the ink. -OK. | 0:04:48 | 0:04:51 | |
-OK, so, what colour is that ink? -Red. -Good. OK. | 0:04:51 | 0:04:54 | |
-What colour is that ink? -Blue. | 0:04:54 | 0:04:56 | |
'This is a pretty easy task.' | 0:04:56 | 0:04:58 | |
Green. Red. | 0:04:58 | 0:05:00 | |
'But introduce a conflict between the word | 0:05:01 | 0:05:05 | |
'and the colour of the ink and the situation changes.' | 0:05:05 | 0:05:09 | |
Blue. Yellow. | 0:05:10 | 0:05:13 | |
Orange. Orange. | 0:05:13 | 0:05:16 | |
Blue. | 0:05:16 | 0:05:17 | |
-DAVID CHUCKLES -Green. | 0:05:17 | 0:05:19 | |
-Er...blue. -OK. | 0:05:21 | 0:05:22 | |
Orange. Green. | 0:05:22 | 0:05:24 | |
Blue. Er... | 0:05:24 | 0:05:26 | |
THEY CHUCKLE | 0:05:26 | 0:05:28 | |
Orange. | 0:05:28 | 0:05:29 | |
Blue. | 0:05:29 | 0:05:30 | |
-Green. -THEY LAUGH | 0:05:30 | 0:05:33 | |
-I had to close my eyes! -Yeah, I saw that. | 0:05:33 | 0:05:37 | |
It's hard because of rivalries playing out inside the brain. | 0:05:39 | 0:05:43 | |
One network is involved in naming colours, | 0:05:43 | 0:05:46 | |
another has a lifetime of training in reading words. | 0:05:46 | 0:05:51 | |
'With both networks battling it out, | 0:05:55 | 0:05:57 | |
'you can directly experience the conflict. | 0:05:57 | 0:06:00 | |
'To get the right answer, you have to actively suppress | 0:06:02 | 0:06:05 | |
'the word-reading to name the colour. | 0:06:05 | 0:06:07 | |
'There are occasions when rival networks can't be reconciled. | 0:06:11 | 0:06:15 | |
'And those offer a special insight.' | 0:06:15 | 0:06:17 | |
In this rare footage, | 0:06:20 | 0:06:22 | |
we can see conflict in the brain expressing itself in the body. | 0:06:22 | 0:06:27 | |
Psychologist Matt Roser is a specialist in a condition | 0:06:30 | 0:06:33 | |
known as alien hand syndrome. | 0:06:33 | 0:06:36 | |
This is a rare side effect of a split-brain surgery | 0:06:39 | 0:06:42 | |
which is sometimes used to treat epilepsy. | 0:06:42 | 0:06:45 | |
Split-brain surgery is the disconnection of the two | 0:06:53 | 0:06:55 | |
hemispheres of the brain, the two halves of the brain. | 0:06:55 | 0:06:58 | |
By cutting the brain in half, you control the epilepsy better. | 0:07:00 | 0:07:04 | |
In this patient, it has further disturbing consequences. | 0:07:07 | 0:07:11 | |
It affects all her motor skills, | 0:07:12 | 0:07:14 | |
particularly the movement of her hands. | 0:07:14 | 0:07:17 | |
She can do what the doctor asks with one half of her body. | 0:07:18 | 0:07:22 | |
Can you lift your hands up in the air? | 0:07:22 | 0:07:24 | |
But she has no conscious control of the other half. | 0:07:24 | 0:07:29 | |
Can you give me a thumbs up with this hand? Give me a thumbs up. | 0:07:29 | 0:07:32 | |
Show me the index finger... | 0:07:34 | 0:07:36 | |
Her right brain takes control of her left hand and fights for attention. | 0:07:36 | 0:07:40 | |
What's going on? Tell us what's going on. | 0:07:42 | 0:07:44 | |
Can you show me your pinkie? OK, great. | 0:07:45 | 0:07:48 | |
Can you take your pinkie and touch your forehead, please? | 0:07:49 | 0:07:52 | |
The hand just doesn't respond to commands. | 0:07:52 | 0:07:55 | |
It seems to have a will of its own. | 0:07:55 | 0:07:58 | |
Because now there are almost like two half patients inside one body. | 0:07:58 | 0:08:03 | |
Can you show me your thumb? Show me your thumb. | 0:08:03 | 0:08:07 | |
For this patient, | 0:08:07 | 0:08:09 | |
her alien hand syndrome was eventually brought under control. | 0:08:09 | 0:08:13 | |
'Something's wrong!' | 0:08:13 | 0:08:15 | |
But the disorder reveals something that's normally hidden. | 0:08:16 | 0:08:20 | |
giving us a window into the struggle | 0:08:20 | 0:08:23 | |
that's waged inside our heads every day. | 0:08:23 | 0:08:26 | |
Can you show me your thumb? Show me your thumb. | 0:08:28 | 0:08:31 | |
In the business of decision-making, | 0:08:40 | 0:08:42 | |
two big systems that often come into conflict | 0:08:42 | 0:08:46 | |
are those we can summarise as reason and emotion. | 0:08:46 | 0:08:50 | |
These systems work together, so we're generally not aware | 0:08:53 | 0:08:57 | |
that more than one thing steers our decisions. | 0:08:57 | 0:09:00 | |
'But some situations can tease them apart. | 0:09:03 | 0:09:07 | |
'Consider the trolley dilemma.' | 0:09:10 | 0:09:13 | |
-Hi. -Hi. -I'd like to invite you to step into this booth here | 0:09:13 | 0:09:16 | |
and we're going to show you a video and just ask you | 0:09:16 | 0:09:19 | |
-a question about what you would do in this sort of scenario. -OK. | 0:09:19 | 0:09:23 | |
You see a train trolley whose brakes are broken. | 0:09:27 | 0:09:30 | |
It's barrelling down the track out of control. | 0:09:30 | 0:09:33 | |
In its path, you see four workers. | 0:09:34 | 0:09:37 | |
They're too far away to warn, but if you don't do something, | 0:09:41 | 0:09:45 | |
they face certain death. | 0:09:45 | 0:09:47 | |
Then you see a lever. | 0:09:50 | 0:09:52 | |
If you pull it, you'll divert the trolley onto another track | 0:09:54 | 0:09:57 | |
and those four workmen will be saved. | 0:09:57 | 0:09:59 | |
But here's the thing. Another man is working on the other track. | 0:10:01 | 0:10:06 | |
If you pull the lever, he will definitely die. | 0:10:09 | 0:10:12 | |
So, do you pull the lever? | 0:10:13 | 0:10:16 | |
What do I do now? | 0:10:29 | 0:10:31 | |
-OK, did you pull the lever? -I pulled the lever. -OK, great. | 0:10:31 | 0:10:34 | |
Now here comes scenario two. There's one more scenario. | 0:10:34 | 0:10:37 | |
OK, great. Here we go. | 0:10:37 | 0:10:39 | |
This time, the dilemma is slightly different. | 0:10:41 | 0:10:44 | |
There are still four workers in the path of the out-of-control trolley. | 0:10:44 | 0:10:49 | |
But now there's no lever, no way to divert the trolley. | 0:10:51 | 0:10:54 | |
Instead, there's a large man standing on a water tower | 0:10:56 | 0:11:00 | |
next to the track. | 0:11:00 | 0:11:01 | |
Push him off into the trolley's path | 0:11:01 | 0:11:04 | |
and his weight will be enough to stop the trolley. | 0:11:04 | 0:11:08 | |
You'll be sacrificing one to save the others. | 0:11:08 | 0:11:12 | |
So, do you push the man? | 0:11:12 | 0:11:15 | |
-OK, did you push the man off? -Absolutely not. | 0:11:23 | 0:11:26 | |
-What did you do in the first scenario? Pull the lever? -I pulled the lever. | 0:11:26 | 0:11:30 | |
Because it's trading one life for four lives, right? | 0:11:30 | 0:11:33 | |
So, what's the difference between the two scenarios? | 0:11:33 | 0:11:36 | |
The physical crime tag of causing death, | 0:11:36 | 0:11:39 | |
even though I could see where they were the same thing, | 0:11:39 | 0:11:42 | |
they would have the same results, | 0:11:42 | 0:11:44 | |
my gut feeling was...was adverse to that. | 0:11:44 | 0:11:48 | |
Everyone I ask makes the same choice. | 0:11:50 | 0:11:53 | |
They'll pull the lever, but they won't push the man. | 0:11:53 | 0:11:57 | |
OK. HE LAUGHS | 0:12:06 | 0:12:08 | |
It's the same ethical dilemma in both cases. | 0:12:09 | 0:12:12 | |
Would you trade one life for four? | 0:12:12 | 0:12:15 | |
In the first scenario, it's just a math problem. | 0:12:15 | 0:12:18 | |
In the second one, you have to physically interact | 0:12:18 | 0:12:21 | |
with the man, push him to his death. | 0:12:21 | 0:12:23 | |
And that recruits other networks in the brain involved in emotion. | 0:12:23 | 0:12:27 | |
So, what's going on behind the scenes? | 0:12:29 | 0:12:32 | |
The conflict is being played out across the brain. | 0:12:34 | 0:12:38 | |
At first, the logic system dominates. | 0:12:38 | 0:12:41 | |
But introduce the idea of killing a man with your bare hands | 0:12:41 | 0:12:45 | |
and the emotion system comes online, tipping the balance. | 0:12:45 | 0:12:50 | |
You're caught between competing drives, | 0:12:50 | 0:12:53 | |
with the result that your decision can change entirely. | 0:12:53 | 0:12:58 | |
The trolley dilemma sheds light on real-world situations. | 0:13:03 | 0:13:07 | |
Think about modern warfare. | 0:13:14 | 0:13:16 | |
When you launch a long-range missile or pilot a drone, | 0:13:19 | 0:13:24 | |
or program a cyber attack, these cause damage at a distance. | 0:13:24 | 0:13:30 | |
The rational networks are at work, | 0:13:32 | 0:13:35 | |
but not necessarily the emotional networks. | 0:13:35 | 0:13:38 | |
Detachment reduces internal conflict. | 0:13:40 | 0:13:43 | |
It's more like pulling the lever than pushing the man. | 0:13:43 | 0:13:47 | |
War is easier to wage at a distance. | 0:13:50 | 0:13:53 | |
If we're capable of bypassing our emotional systems, | 0:14:00 | 0:14:04 | |
why do we have them at all? | 0:14:04 | 0:14:05 | |
So often in neuroscience, we learn most about the brain | 0:14:10 | 0:14:14 | |
when things go wrong. | 0:14:14 | 0:14:16 | |
For two decades, Tammy Myers had a successful career | 0:14:19 | 0:14:22 | |
as an engineer and a happy marriage. | 0:14:22 | 0:14:25 | |
Then, two years ago, there was an accident. | 0:14:28 | 0:14:31 | |
That morning, we got up and rode about an hour. | 0:14:38 | 0:14:41 | |
From what my friends tell me, | 0:14:44 | 0:14:45 | |
we went into a 90-degree turn that was not marked. | 0:14:45 | 0:14:49 | |
And, um... | 0:14:53 | 0:14:54 | |
..tried everything we could to get around the turn, the bike went down. | 0:14:55 | 0:14:58 | |
From there, I don't remember anything. | 0:15:01 | 0:15:03 | |
Tammy recovered from the crash, but one problem remained. | 0:15:05 | 0:15:10 | |
We're going to need four, cos... | 0:15:12 | 0:15:14 | |
She now struggles to make even the simplest decisions. | 0:15:14 | 0:15:18 | |
I don't... I don't... | 0:15:18 | 0:15:20 | |
I don't...I don't care. | 0:15:23 | 0:15:26 | |
I'm going to start crying and I don't want to cry. | 0:15:26 | 0:15:29 | |
But there's too many things in there. | 0:15:29 | 0:15:32 | |
There's good days and there's bad days | 0:15:34 | 0:15:36 | |
and you don't necessarily know what day it's going to be | 0:15:36 | 0:15:40 | |
when you wake up in the morning. | 0:15:40 | 0:15:42 | |
'I'm waiting for the day that...' | 0:15:44 | 0:15:47 | |
You know, that she's normal. | 0:15:49 | 0:15:51 | |
I can't make any... It's too many things | 0:15:54 | 0:15:57 | |
for my brain to process. | 0:15:57 | 0:15:59 | |
That sounds absolutely stupid! | 0:15:59 | 0:16:01 | |
SHE SOBS | 0:16:01 | 0:16:03 | |
Tammy's brain damage is in the prefrontal cortex. | 0:16:03 | 0:16:07 | |
Her logic and emotion systems have become disconnected. | 0:16:09 | 0:16:12 | |
They're still working, | 0:16:12 | 0:16:14 | |
but her emotions are no longer linked to her intellect. | 0:16:14 | 0:16:17 | |
Tammy's injury reveals that even in the most basic situations, | 0:16:19 | 0:16:24 | |
emotion is a necessary component of decision-making. | 0:16:24 | 0:16:27 | |
To understand the damage, Tammy's neurologist, Dr Eslinger, | 0:16:29 | 0:16:33 | |
has brought her here, to the grocery store. | 0:16:33 | 0:16:36 | |
'Tammy still experiences some level of emotional expression.' | 0:16:39 | 0:16:44 | |
She said it's very kind of elementary in a way. | 0:16:44 | 0:16:48 | |
And it's not linked into the logical system. | 0:16:48 | 0:16:50 | |
I don't understand what the difference is of all these things. | 0:16:50 | 0:16:53 | |
Right, if I forget things, I'll get my husband to pick 'em up... | 0:16:53 | 0:16:56 | |
Eslinger wants to see how Tammy copes with the most basic choices. | 0:16:56 | 0:17:01 | |
What should she buy for dinner? | 0:17:01 | 0:17:03 | |
So here you have some choices. | 0:17:03 | 0:17:05 | |
How do you decide what it is you would like? | 0:17:05 | 0:17:08 | |
Um...I just look at different things that are here. | 0:17:08 | 0:17:13 | |
And the different prices. I don't want baked potatoes. | 0:17:13 | 0:17:18 | |
I'd probably just pick up a bag of... | 0:17:18 | 0:17:20 | |
..maybe the gold potatoes, or... | 0:17:21 | 0:17:25 | |
'She was taking in the information accurately about what she was seeing | 0:17:25 | 0:17:29 | |
'and the fact there was cost and size and colour.' | 0:17:29 | 0:17:33 | |
So her brain was processing all the logical information, but the | 0:17:33 | 0:17:37 | |
emotion system wasn't coming into play, linking to that logic system. | 0:17:37 | 0:17:43 | |
There's so many. Why do you need so many potatoes? | 0:17:43 | 0:17:47 | |
-Ha! My chest is all tight thinking about all this. -Why is that? | 0:17:47 | 0:17:51 | |
Because it's stress. It's a decision. | 0:17:51 | 0:17:54 | |
It's...it's, um... | 0:17:54 | 0:17:56 | |
There's a lot of stuff laying here. | 0:17:56 | 0:17:58 | |
'Tammy quickly became overwhelmed with information | 0:17:59 | 0:18:02 | |
'that she couldn't prioritise.' | 0:18:02 | 0:18:04 | |
The route that she took was, | 0:18:05 | 0:18:07 | |
"Let me take that one and get out of here". | 0:18:07 | 0:18:09 | |
I can't process the information. | 0:18:09 | 0:18:11 | |
-It's too much. -Now, was that true before your accident? | 0:18:11 | 0:18:14 | |
No, no. I was an engineer. | 0:18:14 | 0:18:17 | |
I could do everything. But now I can't. | 0:18:17 | 0:18:20 | |
I can't pick a ham, let alone make ten decisions at work | 0:18:20 | 0:18:22 | |
within the next hour. Ten decisions maybe in the week. | 0:18:22 | 0:18:25 | |
The situation makes Tammy stressed, | 0:18:28 | 0:18:31 | |
but she can't make herself care about her choices. | 0:18:31 | 0:18:34 | |
To make a decision, | 0:18:35 | 0:18:36 | |
she needs to somehow value one option over another. | 0:18:36 | 0:18:40 | |
That's a lot of information to process. | 0:18:40 | 0:18:43 | |
And that can only be done with the help of the emotions. | 0:18:45 | 0:18:49 | |
It's information that you have to put into your head... | 0:18:49 | 0:18:51 | |
'The logical brain system still is very strong. | 0:18:51 | 0:18:54 | |
'And we want to force it to tap into the emotion system.' | 0:18:54 | 0:18:58 | |
So one of the things we do day-to-day | 0:18:58 | 0:18:59 | |
is we discard things that are not so important. | 0:18:59 | 0:19:02 | |
And sometimes it's our emotions that help us do that separation. | 0:19:02 | 0:19:06 | |
By having that logical brain system work on the process, | 0:19:06 | 0:19:09 | |
we may be able to break through, | 0:19:09 | 0:19:11 | |
at least in some ways, to reconnect those. | 0:19:11 | 0:19:14 | |
'I don't know what tomorrow is. Am I going to be better? | 0:19:18 | 0:19:21 | |
'Am I going to be worse?' | 0:19:21 | 0:19:23 | |
It seems like the pieces of the puzzle could be coming | 0:19:23 | 0:19:27 | |
together in a gradual fashion, | 0:19:27 | 0:19:29 | |
but it's really slow as far as my past being would have accepted. | 0:19:29 | 0:19:35 | |
'Tammy's story shows how important emotions are in making decisions. | 0:19:38 | 0:19:43 | |
'But here's the thing - emotions don't just happen inside the brain. | 0:19:45 | 0:19:51 | |
'Our emotional systems interact with the rest of our physiology. | 0:19:51 | 0:19:55 | |
'When we're faced with choices, our muscles imperceptibly tense. | 0:19:57 | 0:20:03 | |
'Our hormone levels fluctuate. | 0:20:03 | 0:20:06 | |
'These are automatic physical reactions. | 0:20:06 | 0:20:10 | |
'Gut feelings. And we need them.' | 0:20:10 | 0:20:12 | |
I'm trying to decide what kind of soup I want, | 0:20:14 | 0:20:16 | |
but it's a really difficult choice. | 0:20:16 | 0:20:18 | |
There's so many details for my brain to compute. | 0:20:18 | 0:20:21 | |
There's calories and price and taste and salt and packaging. | 0:20:21 | 0:20:25 | |
There are a millions details here | 0:20:25 | 0:20:28 | |
and I'm going to be paralysed all day under this mountain of data. | 0:20:28 | 0:20:32 | |
So what I really need is some sort of summary, a quick read. | 0:20:32 | 0:20:35 | |
And that's what the physiologic states of my body give me. | 0:20:35 | 0:20:39 | |
It allows me to put a value on this choice and a value on that choice. | 0:20:39 | 0:20:43 | |
And that's what allows me to make the decision. | 0:20:43 | 0:20:46 | |
'This conversation between the body and the brain never stops. | 0:20:54 | 0:20:57 | |
'But it really comes to the fore when we're stressed, or in danger. | 0:20:59 | 0:21:03 | |
'Take this situation. | 0:21:11 | 0:21:13 | |
'Before I think rationally about what's going on, I react physically. | 0:21:14 | 0:21:19 | |
'My sweat glands open. | 0:21:23 | 0:21:25 | |
'My heart rate increases. | 0:21:27 | 0:21:29 | |
'My pupils dilate. My body's screaming a simple message. | 0:21:31 | 0:21:35 | |
'Get me out of here!' | 0:21:37 | 0:21:39 | |
Every day, we experience emotional states like this, | 0:21:43 | 0:21:46 | |
but because they're mostly subtle and unconscious, | 0:21:46 | 0:21:49 | |
we're not typically aware of them. | 0:21:49 | 0:21:51 | |
But it turns out these states are crucial for navigating | 0:21:51 | 0:21:54 | |
all the decisions in our life. | 0:21:54 | 0:21:56 | |
'Most of us tend to distrust decisions based on feelings | 0:22:03 | 0:22:08 | |
'rather than intellect. | 0:22:08 | 0:22:09 | |
'So it can be surprising to learn just how much insight | 0:22:11 | 0:22:15 | |
'feelings can give us.' | 0:22:15 | 0:22:17 | |
Richard Tunney is an experimental psychologist. | 0:22:22 | 0:22:26 | |
He studies the formation of unconscious decisions. | 0:22:26 | 0:22:29 | |
He's running an experiment known as the Iowa Gambling Task. | 0:22:34 | 0:22:39 | |
I need you to keep your hands still. | 0:22:39 | 0:22:41 | |
Because that will affect the measurements we make. | 0:22:41 | 0:22:44 | |
A volunteer chooses to draw a card from one of four decks. | 0:22:48 | 0:22:52 | |
Each time she draws a card, she wins some amount of money | 0:22:56 | 0:23:00 | |
and she loses some. | 0:23:00 | 0:23:01 | |
Her task is to earn as much as possible. | 0:23:04 | 0:23:07 | |
As she plays, she's hooked up a machine similar to a lie-detector. | 0:23:10 | 0:23:15 | |
It monitors tiny changes in the sweat glands in her skin. | 0:23:15 | 0:23:19 | |
What she doesn't know is that the decks are not random, but rigged. | 0:23:24 | 0:23:29 | |
If she keeps choosing from decks A and C, | 0:23:31 | 0:23:34 | |
she'll end up making the most money. | 0:23:34 | 0:23:36 | |
The question is, how long before she figures that out? | 0:23:40 | 0:23:44 | |
The participant will explore the decks in the first instance | 0:23:46 | 0:23:51 | |
and they'll choose from all four decks. | 0:23:51 | 0:23:54 | |
They don't really begin to choose from the good decks consciously | 0:23:54 | 0:23:58 | |
until in the region of 20-30 cards. | 0:23:58 | 0:24:00 | |
But here's the thing - | 0:24:03 | 0:24:05 | |
the monitor indicates that volunteers figure out | 0:24:05 | 0:24:08 | |
which decks are good and bad much earlier. | 0:24:08 | 0:24:12 | |
After only ten tries, there's a spike of activity, | 0:24:12 | 0:24:17 | |
a warning sign whenever she reaches for the bad decks. | 0:24:17 | 0:24:21 | |
She doesn't realise it, but that's the beginnings of a hunch, | 0:24:23 | 0:24:27 | |
an understanding that her body registers before her conscious mind. | 0:24:27 | 0:24:32 | |
What we're seeing here is we're seeing | 0:24:32 | 0:24:35 | |
some physiological response prior to making the decision. | 0:24:35 | 0:24:41 | |
This spike here, in effect, predicts the choice | 0:24:41 | 0:24:45 | |
the participant is going to make. | 0:24:45 | 0:24:48 | |
As her hunch grows stronger, she marries logic | 0:24:50 | 0:24:54 | |
to what her body's been telling her. | 0:24:54 | 0:24:56 | |
Which decks to draw from and which to avoid. | 0:24:56 | 0:24:59 | |
OK, can I stop you there for a moment? | 0:25:04 | 0:25:06 | |
Can I ask you, if you were to choose any one of those four decks | 0:25:06 | 0:25:11 | |
for the rest of the experiment, which one would you choose? | 0:25:11 | 0:25:14 | |
I think I would choose deck C. | 0:25:16 | 0:25:18 | |
OK. Carry on. | 0:25:18 | 0:25:20 | |
It may feel like a logical deduction, | 0:25:20 | 0:25:23 | |
but it's built on a physical foundation. | 0:25:23 | 0:25:27 | |
The body and the brain are all integral to one another. | 0:25:29 | 0:25:32 | |
It's all part of the same system. | 0:25:32 | 0:25:35 | |
If physiology always plays a part in our decision-making, | 0:25:39 | 0:25:42 | |
what does that say about us? | 0:25:42 | 0:25:44 | |
Do we ever act in a purely rational way? | 0:25:45 | 0:25:48 | |
Or is that simply an illusion that we cling to? | 0:25:48 | 0:25:52 | |
Well, consider this - | 0:25:55 | 0:25:57 | |
if you ever come before a parole board, keep an eye on the clock. | 0:25:57 | 0:26:01 | |
We would all hope that Lady Justice is impartial, | 0:26:02 | 0:26:06 | |
but studies say otherwise, in a way that might surprise you. | 0:26:06 | 0:26:10 | |
Two men come up for parole on the same day, but three hours apart. | 0:26:11 | 0:26:16 | |
They've committed the same offence and served the same sentence. | 0:26:16 | 0:26:19 | |
So, what does the judge decide? | 0:26:19 | 0:26:22 | |
Now, here's what happened. | 0:26:26 | 0:26:28 | |
The first prisoner was granted parole and the second was denied. | 0:26:28 | 0:26:32 | |
Why? Given the crime was the same, what influenced the decision? | 0:26:32 | 0:26:37 | |
Was it race, age, looks? | 0:26:37 | 0:26:41 | |
Well, one study analysed 1,000 rulings from different judges | 0:26:41 | 0:26:45 | |
and they found it wasn't about those factors, it was about this. | 0:26:45 | 0:26:49 | |
'According to the research, | 0:26:54 | 0:26:56 | |
'prisoners were three times more likely to be given parole | 0:26:56 | 0:26:59 | |
'just after lunch, when board members were well fed, | 0:26:59 | 0:27:03 | |
'than just before lunch, when they were feeling hungry. | 0:27:03 | 0:27:06 | |
'Having to make decisions all morning is mentally taxing. | 0:27:08 | 0:27:13 | |
'And the judges were suffering from what's known as ego depletion.' | 0:27:13 | 0:27:17 | |
Their brains were running low on energy and that especially affects | 0:27:20 | 0:27:25 | |
the prefrontal cortex, which is involved in decision-making. | 0:27:25 | 0:27:29 | |
Traditionally, we assume humans are rational decision-makers. | 0:27:30 | 0:27:33 | |
They take in information, process it and come up with the best answer. | 0:27:33 | 0:27:37 | |
But real humans, even judges, don't operate that way. | 0:27:37 | 0:27:41 | |
They're biological creatures. | 0:27:41 | 0:27:43 | |
'The court system sets out to be rational and balanced, | 0:27:46 | 0:27:50 | |
'so it's a disturbing thought that it can be hijacked | 0:27:50 | 0:27:52 | |
'by the basic chemistry of our bodies. | 0:27:52 | 0:27:55 | |
'Even judges can be imprisoned by their biology.' | 0:27:56 | 0:28:00 | |
The story's the same with some of life's other big choices. | 0:28:07 | 0:28:10 | |
Where the decisions we make aren't necessarily conscious ones. | 0:28:12 | 0:28:16 | |
Instead, we're tugged along by hidden biological forces. | 0:28:16 | 0:28:21 | |
Evolutionary psychologist Geoffrey Miller has come up with | 0:28:24 | 0:28:28 | |
an interesting way to show this. | 0:28:28 | 0:28:30 | |
His team recruited the help of 18 lap dancers in New Mexico | 0:28:37 | 0:28:42 | |
and got them to record their earnings over three months. | 0:28:42 | 0:28:46 | |
We know that lap dancers' earnings fluctuate a lot. | 0:28:49 | 0:28:53 | |
Some nights, they earn 800. | 0:28:54 | 0:28:58 | |
Other nights, they might earn only 150. | 0:28:58 | 0:29:01 | |
And they're very conscious of how much they earn. | 0:29:01 | 0:29:04 | |
So it seemed like an ideal set-up for being able to ask them, | 0:29:04 | 0:29:08 | |
"How much have you earned night by night, shift by shift?" | 0:29:08 | 0:29:12 | |
And to be able to track that in relation to | 0:29:12 | 0:29:14 | |
where they are in the menstrual cycle. | 0:29:14 | 0:29:17 | |
Miller wanted to know if a woman becomes more attractive | 0:29:19 | 0:29:22 | |
to a man when she's ovulating. | 0:29:22 | 0:29:25 | |
At that point in her cycle, when she's most fertile, | 0:29:25 | 0:29:29 | |
a surge of the hormone oestrogen makes her skin softer, | 0:29:29 | 0:29:34 | |
her features more symmetrical | 0:29:34 | 0:29:37 | |
and her hip-to-waist ratio larger. | 0:29:37 | 0:29:39 | |
The changes are subtle, | 0:29:41 | 0:29:42 | |
but men's brains pick up on those cues unconsciously. | 0:29:42 | 0:29:47 | |
The results were surprisingly strong. | 0:29:48 | 0:29:51 | |
When women are ovulating, | 0:29:51 | 0:29:54 | |
they're earning about twice as much as they were earning | 0:29:54 | 0:29:57 | |
when they were menstruating, | 0:29:57 | 0:29:59 | |
but they were also earning a lot more than before menstruation. | 0:29:59 | 0:30:02 | |
So the real pattern is, if you're ovulating, | 0:30:04 | 0:30:06 | |
you're a lot more attractive to men, you're earning higher tips, | 0:30:06 | 0:30:10 | |
you're getting called over for more lap dances. | 0:30:10 | 0:30:14 | |
And we thought that was a pretty cool way of quantifying | 0:30:14 | 0:30:18 | |
female attractiveness to males. | 0:30:18 | 0:30:20 | |
Your hidden biological drives help you to select a partner. | 0:30:28 | 0:30:33 | |
But what makes you choose to stay with a partner? | 0:30:37 | 0:30:41 | |
It must have something to do with your values and your morals, right? | 0:30:43 | 0:30:46 | |
Actually, your hormones are doing a lot of the deciding for you. | 0:30:46 | 0:30:51 | |
One of them is this. It's called oxytocin. | 0:30:51 | 0:30:54 | |
Sometimes called the love hormone, | 0:30:57 | 0:30:59 | |
oxytocin strengthens the bonds we feel when we're in a relationship. | 0:30:59 | 0:31:05 | |
In a recent study, | 0:31:05 | 0:31:07 | |
heterosexual men who were in love were given a dose of oxytocin. | 0:31:07 | 0:31:11 | |
They were then asked to rate the attractiveness of different women. | 0:31:13 | 0:31:17 | |
The men who were given oxytocin | 0:31:21 | 0:31:23 | |
found their partners to be more attractive, but not other women. | 0:31:23 | 0:31:27 | |
In fact, with other women, | 0:31:27 | 0:31:28 | |
they kept a slightly greater physical distance. | 0:31:28 | 0:31:31 | |
So an attractive woman walks into the bar. | 0:31:33 | 0:31:36 | |
Lots of men clock her arrival. | 0:31:41 | 0:31:44 | |
But not this guy. | 0:31:48 | 0:31:50 | |
He's in love with his partner | 0:31:50 | 0:31:52 | |
and, pumped up with oxytocin, his attention doesn't wander. | 0:31:52 | 0:31:57 | |
From an evolutionary perspective, | 0:32:01 | 0:32:03 | |
you might expect that you don't want monogamy, | 0:32:03 | 0:32:06 | |
you want to have as many offspring as possible. | 0:32:06 | 0:32:08 | |
So, why do we have chemicals in the brain that enhance bonding? | 0:32:08 | 0:32:12 | |
Well, for the survival of the children, | 0:32:12 | 0:32:14 | |
having two parents around is better than having one. | 0:32:14 | 0:32:17 | |
It's so important that our brains make this decision for us. | 0:32:17 | 0:32:22 | |
In fact, the evidence suggests that some of our most complex decisions, | 0:32:34 | 0:32:39 | |
the ones we like to think of as carefully thought out, | 0:32:39 | 0:32:43 | |
are pre-programmed, influenced by our DNA. | 0:32:43 | 0:32:46 | |
Almost no choice at all. | 0:32:47 | 0:32:50 | |
If you feel the least bit uncomfortable, squeeze the squeeze ball | 0:32:50 | 0:32:54 | |
and we'll stop and take you out. | 0:32:54 | 0:32:57 | |
Read Montague uses neuroscience to analyse and predict voting patterns. | 0:32:57 | 0:33:04 | |
CHEERING AND APPLAUSE | 0:33:04 | 0:33:06 | |
It turns out that political ideology has strong biological underpinnings | 0:33:10 | 0:33:15 | |
which you can inherit from your parents. | 0:33:15 | 0:33:18 | |
Montague has found a link between a person's politics | 0:33:21 | 0:33:25 | |
and one basic reaction, disgust. | 0:33:25 | 0:33:28 | |
He has volunteers go into an MRI scanner, | 0:33:31 | 0:33:34 | |
where they look at a series of images. | 0:33:34 | 0:33:37 | |
I show them somebody with a knife to somebody else's throat, | 0:33:39 | 0:33:42 | |
physically threatening stimulus. A dead corpse. | 0:33:42 | 0:33:46 | |
Something that was gross, like flies on a salad, | 0:33:46 | 0:33:49 | |
or something like this. | 0:33:49 | 0:33:51 | |
These things elicit responses in your nervous system | 0:33:51 | 0:33:54 | |
and we record their brain activity. | 0:33:54 | 0:33:56 | |
Then we asked them, and not everybody agrees, | 0:33:59 | 0:34:01 | |
we asked them, "Hey, we have this other experiment we want you to do". | 0:34:01 | 0:34:04 | |
And they go into a booth and they answer a political ideology survey. | 0:34:04 | 0:34:10 | |
How do you feel about gun control, | 0:34:10 | 0:34:12 | |
abortion, premarital sex, things like that. | 0:34:12 | 0:34:16 | |
Montague's results are striking. | 0:34:21 | 0:34:23 | |
The greater the disgust response in the brain, | 0:34:25 | 0:34:28 | |
the more conservative the person is likely to be. | 0:34:28 | 0:34:30 | |
A smaller response correlates with a more liberal outlook. | 0:34:32 | 0:34:36 | |
The link between your neural response | 0:34:39 | 0:34:41 | |
and your political affiliation is not conscious, but it's powerful. | 0:34:41 | 0:34:46 | |
I think if you ask nine out of ten people on the street, | 0:34:46 | 0:34:50 | |
"How did you decide to vote for Candidate X?" | 0:34:50 | 0:34:53 | |
They would give you a long narrative about what they cared about, | 0:34:53 | 0:34:56 | |
the issues that Candidate X supported, | 0:34:56 | 0:35:00 | |
which side of those issues you were on | 0:35:00 | 0:35:02 | |
and how that person represented them. | 0:35:02 | 0:35:04 | |
But that is only half the story. | 0:35:04 | 0:35:07 | |
The shocking part is that your response | 0:35:07 | 0:35:12 | |
to a single disgusting image | 0:35:12 | 0:35:14 | |
can predict your score on that test | 0:35:14 | 0:35:18 | |
with 95% accuracy. | 0:35:18 | 0:35:20 | |
That kind of prediction is uncanny. | 0:35:22 | 0:35:25 | |
I show you a disgusting image, | 0:35:25 | 0:35:27 | |
I know how you're going to vote in 2016. | 0:35:27 | 0:35:29 | |
We may refine our political arguments, | 0:35:31 | 0:35:33 | |
they may become more sophisticated, | 0:35:33 | 0:35:35 | |
but the decision about our basic persuasion, that's already made. | 0:35:35 | 0:35:41 | |
'So far, we've been looking at decisions in the here and now. | 0:35:45 | 0:35:48 | |
'What soup do I want? | 0:35:51 | 0:35:53 | |
'Do I pull the lever? | 0:35:53 | 0:35:55 | |
'Who do I vote for?' | 0:35:55 | 0:35:57 | |
Orange. Green. | 0:35:57 | 0:35:59 | |
'But there's another aspect to the story of decisions. | 0:36:02 | 0:36:06 | |
'Predictions about the future. | 0:36:06 | 0:36:08 | |
'We have to weigh different options | 0:36:08 | 0:36:11 | |
'and guess how things might turn out | 0:36:11 | 0:36:13 | |
'at a time that doesn't yet exist. | 0:36:13 | 0:36:15 | |
'How does your brain pull off that trick?' | 0:36:17 | 0:36:20 | |
I have one hour of free time today and I'm trying to decide what to do. | 0:36:20 | 0:36:25 | |
I know I have to get to the grocery store, on the other hand, | 0:36:25 | 0:36:28 | |
I need to get to a coffee shop to work on a grant deadline. | 0:36:28 | 0:36:31 | |
And I'd like to be able to play with my son at the park today. | 0:36:31 | 0:36:35 | |
So, how do I decide? | 0:36:35 | 0:36:37 | |
Well, ideally, I'd like to be able to know what each of these | 0:36:37 | 0:36:40 | |
possible futures would be like, but I can't time-travel. | 0:36:40 | 0:36:44 | |
Or can I? | 0:36:44 | 0:36:46 | |
'It may sound like the plot of a movie, but wouldn't it be great | 0:36:48 | 0:36:52 | |
'if we could make decisions by looking back from the future? | 0:36:52 | 0:36:56 | |
'That's exactly what our brains are trying to do all the time. | 0:37:02 | 0:37:06 | |
'Running simulations of the future | 0:37:07 | 0:37:10 | |
'and giving each of them a different value.' | 0:37:10 | 0:37:13 | |
Think of valuations like neural price tags that tell us | 0:37:17 | 0:37:20 | |
how much we think something's going to be worth. | 0:37:20 | 0:37:23 | |
So going grocery shopping will put food in my fridge, | 0:37:24 | 0:37:27 | |
but, say that's worth ten units to me. | 0:37:27 | 0:37:30 | |
Writing a grant will fund my lab, | 0:37:30 | 0:37:32 | |
but it's difficult, let's say that's 25 units. | 0:37:32 | 0:37:35 | |
I love spending time with my son at the park, | 0:37:37 | 0:37:40 | |
so let's say that's 50 units. | 0:37:40 | 0:37:41 | |
Here's the thing - those prices can change through time. | 0:37:43 | 0:37:47 | |
If we get there, we run into friends and it's better than expected, | 0:37:48 | 0:37:52 | |
that ups my price tag for the next time around. | 0:37:52 | 0:37:55 | |
If we get there and the swings are broken and it's raining, | 0:37:55 | 0:37:59 | |
that lowers my price tag for the next time. | 0:37:59 | 0:38:02 | |
And that's important. | 0:38:03 | 0:38:04 | |
That's what allows us to prioritise how we make our decisions | 0:38:04 | 0:38:09 | |
based on the brain's best guesses for the future. | 0:38:09 | 0:38:12 | |
And it turns out there's a tiny, ancient system in the brain | 0:38:17 | 0:38:21 | |
whose whole job is to keep updating our assessments of the world. | 0:38:21 | 0:38:24 | |
I'm talking about the dopamine system. | 0:38:28 | 0:38:30 | |
The chemical dopamine typically has a constant rate of release. | 0:38:32 | 0:38:36 | |
But when something turns out better than expected, | 0:38:36 | 0:38:39 | |
there's a burst of dopamine. | 0:38:39 | 0:38:42 | |
That tells other parts of the brain | 0:38:42 | 0:38:44 | |
they should increase the value of that option. | 0:38:44 | 0:38:48 | |
When something is worse than expected, the dopamine drops | 0:38:48 | 0:38:52 | |
and the value goes down. | 0:38:52 | 0:38:54 | |
In most of us, this system works pretty well, | 0:38:56 | 0:38:59 | |
but it's delicately balanced. | 0:38:59 | 0:39:01 | |
Too much dopamine and that loop of positive feedback | 0:39:01 | 0:39:05 | |
gets out of control. | 0:39:05 | 0:39:07 | |
This is the root of addiction. | 0:39:07 | 0:39:09 | |
Neural psychiatrist Valerie Voon studies addictive behaviour. | 0:39:12 | 0:39:17 | |
She's interested in patients with Parkinson's disease. | 0:39:18 | 0:39:21 | |
They're producing less dopamine than normal, | 0:39:23 | 0:39:26 | |
so they're routinely put on medication to raise their levels. | 0:39:26 | 0:39:30 | |
What happens with dopamine medications that the patient | 0:39:32 | 0:39:35 | |
with Parkinson's is on is that it can potentially hijack the system. | 0:39:35 | 0:39:39 | |
Patients who were previously moderate in their behaviour | 0:39:42 | 0:39:46 | |
suddenly develop addictions to gambling, or food, or sex. | 0:39:46 | 0:39:51 | |
These dopamine-stimulating drugs are overstimulating the regions | 0:39:54 | 0:39:59 | |
involved in reward and motivation. | 0:39:59 | 0:40:02 | |
You see the cue and your expectation of the reward | 0:40:02 | 0:40:05 | |
becomes much larger than it should be. | 0:40:05 | 0:40:08 | |
When you take the medication away, they're always a bit dumbfounded | 0:40:13 | 0:40:17 | |
about how they ended up acting the way they did. | 0:40:17 | 0:40:21 | |
'As long as there's nothing wrong with our dopamine systems, | 0:40:22 | 0:40:25 | |
'it should be straightforward for us to control our impulses, right? | 0:40:25 | 0:40:29 | |
'Don't be so sure. | 0:40:30 | 0:40:32 | |
'Take the subprime mortgage meltdown of 2007. | 0:40:35 | 0:40:39 | |
'Between bankers hunting a quick profit | 0:40:39 | 0:40:42 | |
'and borrowers hunting their too-good-to-be-true dream homes, | 0:40:42 | 0:40:46 | |
'it turned into a storm of disastrous decisions. | 0:40:46 | 0:40:51 | |
'As a neuroscientist, what fascinates me | 0:40:52 | 0:40:55 | |
'is how everyone involved gave less weight to future consequences | 0:40:55 | 0:40:59 | |
'and were instead seduced by what was right in front of them.' | 0:40:59 | 0:41:05 | |
The very low interest rates plugged right into the | 0:41:06 | 0:41:10 | |
"I want it now" circuitry. | 0:41:10 | 0:41:12 | |
The idea is, take this house right now, | 0:41:12 | 0:41:15 | |
live better than you thought you could. | 0:41:15 | 0:41:18 | |
At some point in the future, the interest rates will go up, | 0:41:18 | 0:41:21 | |
but that's a long way away. | 0:41:21 | 0:41:23 | |
Because the pull of the now is so hard to resist, | 0:41:23 | 0:41:26 | |
the world economy almost tanked. | 0:41:26 | 0:41:29 | |
This present moment is a rich, | 0:41:35 | 0:41:37 | |
multisensory experience that's hitting me right now. | 0:41:37 | 0:41:42 | |
But the future, that's just an idea. | 0:41:42 | 0:41:45 | |
That's a simulation that takes place in my neural circuits | 0:41:45 | 0:41:48 | |
and it's a pale shadow compared to immediate experience. | 0:41:48 | 0:41:52 | |
It has less emotional pull than whatever is right in front of me. | 0:41:52 | 0:41:57 | |
So, once again, the brain is in conflict. | 0:42:05 | 0:42:08 | |
Different networks are battling it out between the present | 0:42:08 | 0:42:12 | |
and the future. | 0:42:12 | 0:42:14 | |
Instant gratification? | 0:42:14 | 0:42:16 | |
Or long-term reward? | 0:42:16 | 0:42:18 | |
When faced with these sorts of decisions, what do we do? | 0:42:22 | 0:42:26 | |
We rely on our willpower. | 0:42:26 | 0:42:30 | |
Think of willpower as that thing that allows you to pass on that cookie, | 0:42:30 | 0:42:34 | |
or at least the second cookie! | 0:42:34 | 0:42:35 | |
Or the thing that allows you to hit that deadline even though you want to be out in the sunshine. | 0:42:35 | 0:42:40 | |
We all know what it's like to have strong willpower and we also | 0:42:40 | 0:42:44 | |
know what it feels like when you just don't have enough of it. | 0:42:44 | 0:42:47 | |
In one experiment, people watch a wildlife film about animals in distress. | 0:42:51 | 0:42:57 | |
Half the audience has been told to react normally, | 0:43:01 | 0:43:04 | |
to cry if they feel like it. | 0:43:04 | 0:43:06 | |
The other half are instructed to curb their emotions, | 0:43:10 | 0:43:14 | |
using their willpower to squelch their feelings. | 0:43:14 | 0:43:17 | |
The key is what happens next. | 0:43:22 | 0:43:25 | |
After the movie, participants were given one of these - a hand exerciser - | 0:43:30 | 0:43:35 | |
and they were asked to squeeze it as long as they could. | 0:43:35 | 0:43:38 | |
The people who curbed their emotions give up squeezing sooner than the others. | 0:43:47 | 0:43:53 | |
They've exerted so much mental effort not to cry, | 0:43:55 | 0:43:59 | |
they actually have reduced physical strength. | 0:43:59 | 0:44:03 | |
This kind of self control, it takes energy. | 0:44:05 | 0:44:08 | |
It turns out that resisting temptation, or making hard decisions | 0:44:10 | 0:44:13 | |
or taking initiative - all of these draw from the same well of energy. | 0:44:13 | 0:44:19 | |
So, willpower isn't something that we exercise, | 0:44:19 | 0:44:21 | |
it's something that we use up. | 0:44:21 | 0:44:23 | |
It's like a tank of gas. | 0:44:23 | 0:44:26 | |
So, there's a good reason why we can't always rely on our willpower | 0:44:28 | 0:44:32 | |
to make us stand by our decisions. | 0:44:32 | 0:44:35 | |
Our willpower might be running on empty. | 0:44:35 | 0:44:38 | |
We all know that it's hard to get ourselves to do certain things, | 0:44:42 | 0:44:45 | |
like going to the gym. | 0:44:45 | 0:44:47 | |
I want to be in shape, but when it comes down to it, | 0:44:47 | 0:44:50 | |
there's usually something going on right in front of me that's more enjoyable. | 0:44:50 | 0:44:53 | |
So, the pull of what's happening right then | 0:44:53 | 0:44:56 | |
is more powerful than the abstract future notion of fitness. | 0:44:56 | 0:45:01 | |
So, to make certain that I come here, | 0:45:01 | 0:45:03 | |
I take inspiration from a man who lived 3,000 years ago. | 0:45:03 | 0:45:07 | |
In classical mythology, the hero Ulysses lashed himself to the | 0:45:11 | 0:45:16 | |
mast of his ship so that he could hear the bewitching song | 0:45:16 | 0:45:21 | |
of the sirens without steering into the rocks. | 0:45:21 | 0:45:25 | |
Ulysses knew that his future self wasn't going to be in any | 0:45:29 | 0:45:32 | |
position to make a good decision. | 0:45:32 | 0:45:34 | |
So, he structured things so that he couldn't do the wrong thing. | 0:45:34 | 0:45:38 | |
This sort of deal that's struck between your present | 0:45:38 | 0:45:41 | |
and your future self is known as the Ulysses contract. | 0:45:41 | 0:45:45 | |
My own Ulysses contract is to arrange with a friend to meet me here | 0:45:45 | 0:45:48 | |
at the gym, and that way the social pressure lashes me to the mast. | 0:45:48 | 0:45:53 | |
My friendship is collateral in the deal that I'm making with my future self. | 0:45:57 | 0:46:02 | |
This allows me to be the person I want to be, | 0:46:03 | 0:46:07 | |
making good decisions, resisting the seductive power of now. | 0:46:07 | 0:46:12 | |
-Come on. -I got it. | 0:46:16 | 0:46:19 | |
Oh, yeah. Nice. | 0:46:19 | 0:46:22 | |
Our prisons are full of people who struggle with this. | 0:46:22 | 0:46:26 | |
They're unable to lash themselves to any mast | 0:46:26 | 0:46:30 | |
to avoid the rocks. | 0:46:30 | 0:46:32 | |
Attention, there is a door alarm. | 0:46:34 | 0:46:36 | |
For seven out of ten prisoners jailed in the US, | 0:46:36 | 0:46:39 | |
their ability to make long-term decisions is compromised. | 0:46:39 | 0:46:44 | |
They are there because of drugs. | 0:46:44 | 0:46:47 | |
For four decades, we have waged a war on drugs. | 0:46:50 | 0:46:54 | |
The US invests 20 billion each year into this fight. | 0:46:54 | 0:46:59 | |
But there's no sign of victory. | 0:47:00 | 0:47:02 | |
'And destroying the crop before the opium could be harvested from it.' | 0:47:02 | 0:47:06 | |
The difficulty with drug supply is that it's like a water balloon. | 0:47:06 | 0:47:10 | |
If you press it down in one place, it will come up somewhere else. | 0:47:10 | 0:47:13 | |
So, instead of attacking supply, a better strategy is to address demand - | 0:47:13 | 0:47:18 | |
and demand is in the brain of the addict. | 0:47:18 | 0:47:22 | |
So, if the problems lie in the brain, maybe the solutions do, too. | 0:47:25 | 0:47:30 | |
A couple of miles from my laboratory, there's a crack house. | 0:47:39 | 0:47:43 | |
It's abandoned now, but this was once a regular hang-out for Karen. | 0:47:48 | 0:47:53 | |
It brings tears to my eyes. | 0:47:58 | 0:48:00 | |
Because this was part of the lowest part I hit when I smoked crack. | 0:48:00 | 0:48:05 | |
And I can't believe that I was part of that crowd. | 0:48:07 | 0:48:09 | |
If you're not strong enough, you just can't handle it. | 0:48:12 | 0:48:14 | |
It kind of draws you in. | 0:48:14 | 0:48:16 | |
Karen has had an addiction to crack cocaine for many years. | 0:48:21 | 0:48:25 | |
I thought I was in control of everything. | 0:48:28 | 0:48:31 | |
But that was the drug. I mean, I wasn't in control of anything. | 0:48:31 | 0:48:34 | |
I was a mess. | 0:48:34 | 0:48:36 | |
Dirty, hair matted up, clothes looked like they were in a mud fight - | 0:48:36 | 0:48:42 | |
I couldn't believe it. And then I'd step back and think, | 0:48:42 | 0:48:45 | |
"Damn! How did I drop so low?" | 0:48:45 | 0:48:47 | |
Karen's story makes her an ideal candidate for a new programme | 0:48:54 | 0:48:58 | |
we're running in my laboratory. | 0:48:58 | 0:49:00 | |
Rather than simply forcing drug addicts to go cold turkey, | 0:49:03 | 0:49:06 | |
we're trying to treat them with neuroscience. | 0:49:06 | 0:49:10 | |
Getting the brain to take control of its own addiction. | 0:49:13 | 0:49:17 | |
Inside the MRI machine, Karen watches images of drug use | 0:49:21 | 0:49:25 | |
and drug paraphernalia. | 0:49:25 | 0:49:28 | |
We ask her to go ahead and feel her cravings. | 0:49:28 | 0:49:32 | |
We measured the networks in her brain associated with that craving. | 0:49:35 | 0:49:39 | |
Then we switch and ask her to suppress the craving. | 0:49:46 | 0:49:51 | |
OK, Karen, when you're thinking about suppressing your craving, | 0:49:52 | 0:49:56 | |
think about the costs this has had to you - in terms of money, | 0:49:56 | 0:50:00 | |
in terms of relationship, in terms of employment opportunities. | 0:50:00 | 0:50:05 | |
'OK.' | 0:50:05 | 0:50:07 | |
We show her the same images and measure the regions in her brain | 0:50:09 | 0:50:13 | |
that are active when she's trying to resist the desire to use. | 0:50:13 | 0:50:17 | |
These are the networks that become active in Karen's brain when she's craving cocaine, | 0:50:19 | 0:50:24 | |
and when she thinks about all the reasons to resist it, then these networks come online here. | 0:50:24 | 0:50:30 | |
And these networks, the craving and the suppressing, | 0:50:30 | 0:50:33 | |
are always locked in battle. | 0:50:33 | 0:50:35 | |
Here's the key - we now superimpose a gauge, | 0:50:37 | 0:50:41 | |
which tells Karen how the battle is going. | 0:50:41 | 0:50:45 | |
Her job is to move it by tipping the balance | 0:50:45 | 0:50:49 | |
of the suppressing over the craving. | 0:50:49 | 0:50:53 | |
They show you pictures of different things. You have to do suppress and then not suppress. | 0:50:53 | 0:50:58 | |
It was like a little meter. | 0:50:58 | 0:50:59 | |
When it got to the first time, I couldn't do it at all. | 0:50:59 | 0:51:02 | |
Then, the second time, I got wind of it and I could really concentrate and say, | 0:51:02 | 0:51:06 | |
"Hey, this is it! This is what I've been missing. | 0:51:06 | 0:51:09 | |
"Your brain is the one that told you you needed crack, | 0:51:09 | 0:51:13 | |
"so why can't you train your brain to tell you it's not time for crack?" | 0:51:13 | 0:51:16 | |
I mean, I can suppress other things, why can't I suppress crack? | 0:51:18 | 0:51:21 | |
At the moment, she's looking at this background picture of cocaine | 0:51:23 | 0:51:27 | |
and she is working her way over to suppressing that craving | 0:51:27 | 0:51:31 | |
and holding it there successfully. | 0:51:31 | 0:51:33 | |
Now, the idea is that she can practice this in the scanner and learn how to get better at it | 0:51:33 | 0:51:38 | |
and the key is when she's back out in the real world and somebody offers her crack cocaine, | 0:51:38 | 0:51:44 | |
she'll have the tools available to know how to resist. | 0:51:44 | 0:51:49 | |
I'm not going to say I'm cured, because how can you be cured | 0:51:49 | 0:51:52 | |
of something that your brain conjures up - your subconscious conjures up. | 0:51:52 | 0:51:56 | |
So, I take steps to, when the thought goes through, I push it out. | 0:51:56 | 0:52:00 | |
I suppress it. | 0:52:00 | 0:52:02 | |
You know, I'm not going to say three months from now, a year from now, I'll be clean, | 0:52:02 | 0:52:06 | |
but that's what I work towards daily. | 0:52:06 | 0:52:08 | |
For me, Karen offers a glimpse of how neuroscience | 0:52:12 | 0:52:16 | |
can help people with addiction. | 0:52:16 | 0:52:19 | |
She's rewiring her circuitry, she's shaping her brain | 0:52:19 | 0:52:24 | |
to be better aligned with who she would like to be. | 0:52:24 | 0:52:29 | |
The future is filled with promise. | 0:52:29 | 0:52:32 | |
I'm married, I have a great husband, I have a great life | 0:52:32 | 0:52:37 | |
and I don't want to jeopardise that just for a hit of crack. | 0:52:37 | 0:52:41 | |
So, I mean, it's even more of a reason why I quit crack. | 0:52:41 | 0:52:45 | |
It helps my suppression state, because I can actually stop | 0:52:45 | 0:52:50 | |
and I'm doing it for myself, but I'm doing it for others. | 0:52:50 | 0:52:53 | |
My husband, my dogs, my family and that's what's important to me. | 0:52:53 | 0:52:58 | |
Karen has hope for resolving the conflict that constantly rages | 0:53:02 | 0:53:07 | |
in the hidden world of her neural networks. | 0:53:07 | 0:53:10 | |
I think a biological approach stands a better chance | 0:53:13 | 0:53:16 | |
of working than mass incarceration. | 0:53:16 | 0:53:19 | |
As we learn more about our own brains, | 0:53:21 | 0:53:24 | |
we can break away from slavery to our impulses | 0:53:24 | 0:53:28 | |
and earn the freedom that comes with having greater choice. | 0:53:28 | 0:53:32 | |
Decision-making lies at the heart of everything - | 0:53:34 | 0:53:37 | |
who we are, what we do, how we perceive the world. | 0:53:37 | 0:53:41 | |
Without the ability to decide, | 0:53:41 | 0:53:43 | |
we would be stuck in limbo between conflicting desires. | 0:53:43 | 0:53:47 | |
We wouldn't be able to navigate the now or plan for the future. | 0:53:47 | 0:53:51 | |
Neuroscience shows that you are not an individual, | 0:53:51 | 0:53:54 | |
you're made up of multiple competing drives. | 0:53:54 | 0:53:58 | |
And by understanding how choices battle it out in the brain, | 0:53:58 | 0:54:02 | |
we can learn how to make better decisions for ourselves and for society. | 0:54:02 | 0:54:07 | |
CROWD CHEERS AND APPLAUDS | 0:54:10 | 0:54:12 | |
Next time on The Brain, I'm going to investigate how our brains | 0:54:15 | 0:54:19 | |
are fundamentally wired to work together. | 0:54:19 | 0:54:22 | |
How this social network that envelops us from birth | 0:54:22 | 0:54:26 | |
is vital for our survival. | 0:54:26 | 0:54:29 | |
Understanding how brains deal with each other | 0:54:30 | 0:54:33 | |
allows us to understand what bonds our species... | 0:54:33 | 0:54:37 | |
..driving us to help one another. | 0:54:39 | 0:54:42 | |
And what makes us hate. | 0:54:42 | 0:54:45 | |
What allows acts of human violence. | 0:54:46 | 0:54:49 | |
Here, in 1995, thousands of Bosniaks took refuge | 0:54:51 | 0:54:55 | |
inside this United Nations compound. | 0:54:55 | 0:54:58 | |
But then on July 11th, the UN commanders made the decision | 0:54:58 | 0:55:02 | |
to expel all the refugees and they delivered them right into the hands | 0:55:02 | 0:55:06 | |
of their enemies who were waiting just outside this gate. | 0:55:06 | 0:55:10 | |
Even the most basic encounter... | 0:55:10 | 0:55:13 | |
like getting a cup of coffee... | 0:55:13 | 0:55:15 | |
..relies on trust with a stranger. | 0:55:15 | 0:55:18 | |
-Can I get a latte, please? -Definitely. -Thanks. | 0:55:18 | 0:55:20 | |
Our lives are built on these intersections. | 0:55:22 | 0:55:25 | |
It helps us to make sense of our past | 0:55:25 | 0:55:28 | |
and holds the key to our future. | 0:55:28 | 0:55:31 |