What we'll learn about the brain in the next century | Sam Rodriques

174,283 views ・ 2018-07-03

TED


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譯者: Helen Chang 審譯者: Adrienne Lin
00:13
I want to tell you guys something about neuroscience.
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我想告訴你們一些 關於神經科學的東西。
00:16
I'm a physicist by training.
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我是一名通過培訓的物理學家。
00:18
About three years ago, I left physics
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大約三年前,我離開物理學,
00:20
to come and try to understand how the brain works.
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試圖理解大腦的工作原理。
00:22
And this is what I found.
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這就是我發現的。
00:24
Lots of people are working on depression.
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很多人研究抑鬱症。
00:26
And that's really good,
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這真的很好,
00:27
depression is something that we really want to understand.
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抑鬱症是我們真正想要了解的東西。
00:30
Here's how you do it:
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做法是:
00:31
you take a jar and you fill it up, about halfway, with water.
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拿個罐子,裝大約半滿的水。
00:35
And then you take a mouse, and you put the mouse in the jar, OK?
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然後抓隻老鼠,放進罐子裡,
00:39
And the mouse swims around for a little while
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老鼠游了一會兒,
00:42
and then at some point, the mouse gets tired
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到某個時候,老鼠感到疲倦,
00:44
and decides to stop swimming.
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決定不游了。
00:46
And when it stops swimming, that's depression.
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停止游泳時就是得了抑鬱症。
00:50
OK?
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這樣嗎?
00:52
And I'm from theoretical physics,
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我學的是理論物理學,
00:55
so I'm used to people making very sophisticated mathematical models
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所以習慣了人們用非常複雜的數學模型
00:59
to precisely describe physical phenomena,
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來精確地描述物理現象,
01:02
so when I saw that this is the model for depression,
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當我看到這是抑鬱症的模型時,
01:04
I though to myself, "Oh my God, we have a lot of work to do."
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我對自己說:「哦,天啊, 我們還有很多工作要做。」
01:07
(Laughter)
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(笑聲)
01:09
But this is a kind of general problem in neuroscience.
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但這是神經科學中的普遍問題。
01:12
So for example, take emotion.
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舉情感為例。
01:14
Lots of people want to understand emotion.
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很多人想要了解情感。
01:17
But you can't study emotion in mice or monkeys
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但你不能研究老鼠或猴子的情感,
01:20
because you can't ask them
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因為你不能問牠們感覺如何
01:21
how they're feeling or what they're experiencing.
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或者正經歷些什麼。
因此替代的是,想要了解情感的人
01:24
So instead, people who want to understand emotion,
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01:26
typically end up studying what's called motivated behavior,
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通常終會研究所謂的行為動機,
01:29
which is code for "what the mouse does when it really, really wants cheese."
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是「老鼠在極想要乳酪時 所做的事情」的另一種說法。
01:33
OK, I could go on and on.
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我的例子可多著呢。
01:35
I mean, the point is, the NIH spends about 5.5 billion dollars a year
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我的意思是,美國衛生研究院 每年約花費 55 億美元
01:41
on neuroscience research.
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研究神經科學。
01:43
And yet there have been almost no significant improvements in outcomes
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然而幾乎沒有顯著的改善結果,
01:47
for patients with brain diseases in the past 40 years.
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過去 40 年來 腦病患者預後的改善結果不大。
01:51
And I think a lot of that is basically due to the fact
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我認為其中很大一部分原因
01:53
that mice might be OK as a model for cancer or diabetes,
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是老鼠雖可當作 癌症或糖尿病的模型,
01:57
but the mouse brain is just not sophisticated enough
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但鼠腦不夠複雜,
02:00
to reproduce human psychology or human brain disease.
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不足以複製人類心理學 或人類的腦部疾病。
02:04
OK?
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明白嗎?
02:05
So if the mouse models are so bad, why are we still using them?
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如果老鼠的模型很糟糕, 為什麼我們仍用呢?
02:10
Well, it basically boils down to this:
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基本上可以歸結為:
02:12
the brain is made up of neurons
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大腦由神經元組成,
02:14
which are these little cells that send electrical signals to each other.
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神經元是互相發送電訊的小細胞。
02:18
If you want to understand how the brain works,
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要瞭解大腦的工作方式,
02:20
you have to be able to measure the electrical activity of these neurons.
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就必須能測量神經元活動的電訊。
02:25
But to do that, you have to get really close to the neurons
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但為了要做到,就必須用某種
02:28
with some kind of electrical recording device or a microscope.
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電子記錄設備或顯微鏡 來真正接近神經元。
02:31
And so you can do that in mice and you can do it in monkeys,
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在老鼠和在猴子身上做得到,
02:34
because you can physically put things into their brain
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因為能把異物實際放入牠們的腦中;
02:36
but for some reason we still can't do that in humans, OK?
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但由於某種原因, 我們仍無法在人類身上這麼做。
02:40
So instead, we've invented all these proxies.
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於是我們發明了這些替代品。
02:43
So the most popular one is probably this,
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最流行的可能是這個,
02:46
functional MRI, fMRI,
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功能性核磁共振成像(fMRI),
02:48
which allows you to make these pretty pictures like this,
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可以讓你做出像這樣的漂亮圖片,
02:51
that show which parts of your brain light up
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顯示你從事不同的活動時,
02:53
when you're engaged in different activities.
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腦部的哪些部位會發光。
02:55
But this is a proxy.
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但這是替代品,
02:57
You're not actually measuring neural activity here.
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並未實際測量腦的神經活動,
03:01
What you're doing is you're measuring, essentially,
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基本上測量的是腦中的血流。
03:03
like, blood flow in the brain.
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03:05
Where there's more blood.
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實際上血流多的地方含氧量就高,
03:07
It's actually where there's more oxygen, but you get the idea, OK?
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明白了吧?
另一樣是能驗「腦電圖」:
03:10
The other thing that you can do is you can do this --
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03:12
electroencephalography -- you can put these electrodes on your head, OK?
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把電極放在頭上,測量腦波。
03:16
And then you can measure your brain waves.
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03:19
And here, you're actually measuring electrical activity.
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這裡實際測量的是電子的活動,
03:22
But you're not measuring the activity of neurons.
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不是測量神經元的活動。
03:24
You're measuring these electrical currents,
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測量這些電流
03:27
sloshing back and forth in your brain.
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在腦中流來流去。
03:30
So the point is just that these technologies that we have
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重點是我們擁有的這些技術
03:32
are really measuring the wrong thing.
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是在量錯誤的東西。
03:35
Because, for most of the diseases that we want to understand --
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因為大多數我們想要了解的疾病──
03:38
like, Parkinson's is the classic example.
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帕金森氏症就是個典型例子──
03:40
In Parkinson's, there's one particular kind of neuron deep in your brain
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帕金森氏症患者的大腦深處 有種特定類型的神經元
03:44
that is responsible for the disease,
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是造成這病的原因,
03:45
and these technologies just don't have the resolution that you need
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而這些技術根本沒有 你需要的解析度。
03:49
to get at that.
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03:50
And so that's why we're still stuck with the animals.
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這就是為什麼我們仍使用動物實驗。
03:54
Not that anyone wants to be studying depression
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不是每個人都想透過 把老鼠裝罐來研究抑鬱症吧?
03:57
by putting mice into jars, right?
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03:59
It's just that there's this pervasive sense that it's not possible
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只是大家普遍意識到
監看健康人士的神經元活動 是不可能的。
04:03
to look at the activity of neurons in healthy humans.
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04:08
So here's what I want to do.
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因此我想要做的是這個:
04:09
I want to take you into the future.
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我想帶你走進未來,
04:12
To have a look at one way in which I think it could potentially be possible.
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看看我認為一種未來可能實現的方式。
04:17
And I want to preface this by saying, I don't have all the details.
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先聲明,我沒有所有的細節,
04:21
So I'm just going to provide you with a kind of outline.
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我只會提供一個大致樣貌。
04:24
But we're going to go the year 2100.
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我們來到 2100 年。
04:27
Now what does the year 2100 look like?
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2100 年是什麼樣子?
04:30
Well, to start with, the climate is a bit warmer that what you're used to.
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首先,氣候比你習慣的還熱些。 (麻薩諸塞州的波士頓市)
04:33
(Laughter)
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(笑聲)
04:37
And that robotic vacuum cleaner that you know and love
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那個你熟悉且喜愛的掃地機器人
04:42
went through a few generations,
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經歷了幾代,
04:43
and the improvements were not always so good.
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而改進並不總是盡如人意。
04:46
(Laughter)
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(笑聲)
04:48
It was not always for the better.
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未必總是改得更好。
04:52
But actually, in the year 2100 most things are surprisingly recognizable.
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但實際上在 2100 年, 出乎意料地,大多事情仍可辨識出來。
04:57
It's just the brain is totally different.
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只是大腦完全不同。
05:00
For example, in the year 2100,
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例如,在 2100 年,
05:03
we understand the root causes of Alzheimer's.
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我們了解阿茲海默症的根本原因,
05:06
So we can deliver targeted genetic therapies or drugs
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因此,能提供標靶基因療法或藥物,
05:09
to stop the degenerative process before it begins.
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在病發前就先阻止它惡化。
05:13
So how did we do it?
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我們如何辦到的?
05:15
Well, there were essentially three steps.
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基本上有三個步驟。
05:18
The first step was that we had to figure out
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第一是我們必須找出
05:21
some way to get electrical connections through the skull
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某種通過顱骨的接電方式
05:24
so we could measure the electrical activity of neurons.
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來測量神經元的電訊活動。
05:28
And not only that, it had to be easy and risk-free.
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不僅如此,它必須簡單且無風險,
05:32
Something that basically anyone would be OK with,
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是基本上人人可行的方法,
05:35
like getting a piercing.
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就像穿耳洞一樣。
05:37
Because back in 2017,
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回溯到 2017 年,
05:39
the only way that we knew of to get through the skull
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我們唯一知道進入頭骨的方法
05:42
was to drill these holes the size of quarters.
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是鑽出 25 分錢幣大小的洞。
05:46
You would never let someone do that to you.
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你絕不會允許有人 在你頭上鑽那樣的洞。
05:48
So in the 2020s,
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所以到了 2020 年代,
05:51
people began to experiment -- rather than drilling these gigantic holes,
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人們開始試驗不鑽大的洞,
05:54
drilling microscopic holes, no thicker than a piece of hair.
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而是鑽細細的孔,不比一根頭髮粗。
05:58
And the idea here was really for diagnosis --
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這想法主要是用於診斷。
06:00
there are lots of times in the diagnosis of brain disorders
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為了經常要診斷異常的腦神經活動
06:03
when you would like to be able to look at the neural activity beneath the skull
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而鑽這些觸及顱下的小洞,
使得重複多次為病人診斷腦障礙
06:08
and being able to drill these microscopic holes
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06:11
would make that much easier for the patient.
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變得更容易。
06:13
In the end, it would be like getting a shot.
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最終會像是打一針而已,
06:16
You just go in and you sit down
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你只要進去,坐下來,
06:17
and there's a thing that comes down on your head,
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一樣東西落在你頭上,
瞬間感到刺痛,就結束了,
06:20
and a momentary sting and then it's done,
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06:22
and you can go back about your day.
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你可以回去做你原先做的事。
06:24
So we're eventually able to do it
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我們最終能用雷射光鑽孔。
06:29
using lasers to drill the holes.
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06:32
And with the lasers, it was fast and extremely reliable,
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雷射光的速度非常快且非常可靠,
06:34
you couldn't even tell the holes were there,
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你甚至看不出那裡有個洞,
06:37
any more than you could tell that one of your hairs was missing.
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就像看不出那裡掉了根頭髮一樣。
06:40
And I know it might sound crazy, using lasers to drill holes in your skull,
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用雷射光在頭骨上打洞 聽起來可能很瘋狂,
06:45
but back in 2017,
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但是在 2017 年,
06:46
people were OK with surgeons shooting lasers into their eyes
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外科醫生將雷射光射入眼睛
進行矯正視力是可被人接受的,
06:51
for corrective surgery
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06:52
So when you're already here, it's not that big of a step.
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雷射已被使用了, 所以這不算是多大的進步。
06:57
OK?
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明白嗎?
06:58
So the next step, that happened in the 2030s,
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2030 年代發生的下一步
07:02
was that it's not just about getting through the skull.
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不止於穿過顱骨,
07:05
To measure the activity of neurons,
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為了測量神經元的活動,
07:07
you have to actually make it into the brain tissue itself.
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必須實際上穿透進腦組織本身。
07:11
And the risk, whenever you put something into the brain tissue,
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無論何時,把異物放入腦組織的風險
基本上都是中風。
07:14
is essentially that of stroke.
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07:15
That you would hit a blood vessel and burst it,
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你會碰破血管,
導致中風。
07:18
and that causes a stroke.
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07:19
So, by the mid 2030s, we had invented these flexible probes
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因此,我們在 2030 年代中期 發明了靈活的探針,
07:23
that were capable of going around blood vessels,
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能夠隨著血管繞行,
07:25
rather than through them.
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不會刺穿血管。
07:27
And thus, we could put huge batteries of these probes
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如此,我們可以將大量的探針電池
07:33
into the brains of patients
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放入患者腦中,
07:34
and record from thousands of their neurons without any risk to them.
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記錄成千上萬個神經元, 且不會造成任何風險。
07:39
And what we discovered, sort of to our surprise,
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我們驚奇地發現
07:43
is that the neurons that we could identify
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可辨識的神經元
07:45
were not responding to things like ideas or emotion,
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對想法或情緒等事物沒反應,
07:49
which was what we had expected.
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不如我們原先的預期。
07:50
They were mostly responding to things like Jennifer Aniston
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神經元主要回應珍妮佛安妮斯頓、
07:54
or Halle Berry
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荷莉貝瑞
07:57
or Justin Trudeau.
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或加拿大總理賈斯汀杜魯道之類。
07:58
I mean --
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我的意思是……
07:59
(Laughter)
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(笑聲)
08:02
In hindsight, we shouldn't have been that surprised.
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事後看來,我們不該感到訝異。
08:04
I mean, what do your neurons spend most of their time thinking about?
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不然你的神經元 大部分時間在想什麼?
08:07
(Laughter)
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(笑聲)
08:09
But really, the point is that
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但說真的,重點是
08:11
this technology enabled us to begin studying neuroscience in individuals.
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這項技術使我們能 開始研究個體的神經科學。
08:15
So much like the transition to genetics, at the single cell level,
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就像遺傳學轉到單細胞層次那樣,
08:20
we started to study neuroscience, at the single human level.
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我們開始在個人身上研究神經科學。
08:23
But we weren't quite there yet.
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但我們尚未到那兒。
08:25
Because these technologies
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因為這些技術
08:27
were still restricted to medical applications,
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仍然侷限於醫療應用,
08:30
which meant that we were studying sick brains, not healthy brains.
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這意味著我們研究生病的腦,
不是健康的腦。
08:35
Because no matter how safe your technology is,
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因為不管你的技術有多安全,
08:39
you can't stick something into someone's brain
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你都不能為了研究的目的
08:41
for research purposes.
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而將異物插入某人的腦裡。
08:43
They have to want it.
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必須經過他們同意才行。
08:44
And why would they want it?
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他們為什麼會同意?
08:46
Because as soon as you have an electrical connection to the brain,
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因為一旦腦有了電的接頭,
08:49
you can use it to hook the brain up to a computer.
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就可以用它來接上電腦。
08:53
Oh, well, you know, the general public was very skeptical at first.
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哦,你是知道的,一開始 公眾對此一直持懷疑態度。
08:56
I mean, who wants to hook their brain up to their computers?
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畢竟有誰會想要把大腦連上電腦?
08:59
Well just imagine being able to send an email with a thought.
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想像你腦筋一動, 就能夠發送電子郵件。
09:04
(Laughter)
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(笑聲)
09:06
Imagine being able to take a picture with your eyes, OK?
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想像能夠用你的眼睛拍照。
09:10
(Laughter)
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(笑聲)
09:12
Imagine never forgetting anything anymore,
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想像再也不會忘記任何東西了,
09:15
because anything that you choose to remember
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因為你選擇記住的任何東西
09:17
will be stored permanently on a hard drive somewhere,
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都會永久儲存在某個硬碟上,
09:19
able to be recalled at will.
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可以隨時召回。
09:21
(Laughter)
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(笑聲)
09:25
The line here between crazy and visionary
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瘋狂和夢想之間的界線
09:28
was never quite clear.
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從來就不是很清楚。
09:30
But the systems were safe.
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但系統是安全的。
09:32
So when the FDA decided to deregulate these laser-drilling systems, in 2043,
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因此,當美國食品藥品監督管理局
在 2043 年決定放寬 對雷射光鑽孔系統的管制時,
09:37
commercial demand just exploded.
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商業需求就爆增了。
09:40
People started signing their emails,
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人們開始在電子郵件寫著:
09:42
"Please excuse any typos.
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「錯別字請見諒。
09:43
Sent from my brain."
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由我的腦送出。」
09:44
(Laughter)
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(笑聲)
09:45
Commercial systems popped up left and right,
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到處冒出的商業系統
09:48
offering the latest and greatest in neural interfacing technology.
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提供最新和最好的神經接口技術。
09:51
There were 100 electrodes.
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有一百個電極。
09:53
A thousand electrodes.
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一千個電極。
09:55
High bandwidth for only 99.99 a month.
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寬頻每月只要 99.99 美元。
09:58
(Laughter)
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(笑聲)
09:59
Soon, everyone had them.
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很快,每個人都有了。
10:01
And that was the key.
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那就是關鍵。
10:03
Because, in the 2050s, if you were a neuroscientist,
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因為在 2050 年代, 如果你是個神經科學家,
10:06
you could have someone come into your lab essentially from off the street.
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可從街上找個人進你的實驗室,
10:10
And you could have them engaged in some emotional task
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讓他們參與一些情緒上的任務、
10:13
or social behavior or abstract reasoning,
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社會行為或抽象推理,
10:16
things you could never study in mice.
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這些永遠無法 在老鼠身上學到的東西。
10:18
And you could record the activity of their neurons
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你可以用他們現成的接口
10:21
using the interfaces that they already had.
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記錄他們的神經元活動。
10:25
And then you could also ask them about what they were experiencing.
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也可以問他們正經歷什麼。
因此,你永遠無法在動物身上做出的
10:28
So this link between psychology and neuroscience
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10:31
that you could never make in the animals, was suddenly there.
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這種心理學和神經科學之間的聯繫 突然間就出現了。
10:35
So perhaps the classic example of this
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也許這個典型的例子
10:37
was the discovery of the neural basis for insight.
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是發現洞察力的神經基礎。
10:41
That "Aha!" moment, the moment it all comes together, it clicks.
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那個激出「啊哈!」 靈光乍現時刻的當下,
10:45
And this was discovered by two scientists in 2055,
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在 2055 年,被兩位科學家 貝瑞和雷特發現了。
10:49
Barry and Late,
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10:51
who observed, in the dorsal prefrontal cortex,
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他們觀察背外側前額葉 (Dorsolateral Prefrontal Cortex)
10:54
how in the brain of someone trying to understand an idea,
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試圖了解某個想法的人腦內部,
11:00
how different populations of neurons would reorganize themselves --
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不同的神經元群如何重組自己──
11:03
you're looking at neural activity here in orange --
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神經活動在這裡以橙色顯示──
11:05
until finally their activity aligns in a way that leads to positive feedback.
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直到最後活動以一種 導致正面反饋的方式對齊。
11:10
Right there.
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在那裡。
11:12
That is understanding.
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那就是理解。
11:15
So finally, we were able to get at the things that make us human.
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我們終於能了解 使我們成為人類的東西。
11:21
And that's what really opened the way to major insights from medicine.
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這才能真正打開 通向主要醫學見解的道路。
11:27
Because, starting in the 2060s,
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因為從 2060 年代開始,
11:30
with the ability to record the neural activity
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我們能夠開始記錄這些
11:32
in the brains of patients with these different mental diseases,
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不同精神病患者的腦神經活動,
11:36
rather than defining the diseases on the basis of their symptoms,
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而不是根據他們的症狀來定義疾病,
11:41
as we had at the beginning of the century,
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就像本世紀初時那樣,
11:43
we started to define them
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根據我們在神經水平觀察到的
11:44
on the basis of the actual pathology that we observed at the neural level.
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實際病理來定義它們。
11:48
So for example, in the case of ADHD,
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例如,對注意力不足過動症 (ADHD)而言,
11:52
we discovered that there are dozens of different diseases,
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我們發現有幾十種不同的疾病,
11:55
all of which had been called ADHD at the start of the century,
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在本世紀初全被稱為 ADHD,
11:58
that actually had nothing to do with each other,
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但實際上它們之間沒有任何關聯,
12:01
except that they had similar symptoms.
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只是症狀類似,
12:03
And they needed to be treated in different ways.
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應該要用不同的治療方式。
12:06
So it was kind of incredible, in retrospect,
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這有點令人難以置信,
12:08
that at the beginning of the century,
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回想本世紀初,
12:10
we had been treating all those different diseases
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我們一直在用同樣的藥物 治療這些不同的疾病,
12:12
with the same drug,
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12:13
just by giving people amphetamine, basically is what we were doing.
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基本上就是只是給人服用安非他命。
精神分裂症和抑鬱症也是如此。
12:17
And schizophrenia and depression are the same way.
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12:19
So rather than prescribing drugs to people essentially at random,
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因此,我們不像以前那樣隨意開藥,
12:23
as we had,
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12:24
we learned how to predict which drugs would be most effective
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而是學會瞭解如何預測
哪種藥物對哪些患者最有效,
12:28
in which patients,
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12:29
and that just led to this huge improvement in outcomes.
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因而導致巨大的改善結果。
12:33
OK, I want to bring you back now to the year 2017.
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我現在帶你回 2017 年。
12:38
Some of this may sound satirical or even far fetched.
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其中一些聽起來很諷刺, 甚至牽強附會。
12:41
And some of it is.
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有些的確是。
12:43
I mean, I can't actually see into the future.
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意思是,實際上我看不到未來,
12:45
I don't actually know
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實際上我並不知道
12:47
if we're going to be drilling hundreds or thousands of microscopic holes
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我們是否會在 30 年內 在頭部鑽幾百或幾千個微小洞。
12:51
in our heads in 30 years.
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12:53
But what I can tell you
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但我能告訴你,
12:55
is that we're not going to make any progress
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我們無法在理解人類大腦
12:57
towards understanding the human brain or human diseases
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或人類疾病方面取得任何進展,
13:01
until we figure out how to get at the electrical activity of neurons
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除非我們先弄清楚如何取得
健康人的神經元電訊活動才能夠做到。
13:05
in healthy humans.
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13:07
And almost no one is working on figuring out how to do that today.
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而現今幾乎沒有人在研究如何做。
13:12
That is the future of neuroscience.
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那是神經科學的未來。
13:14
And I think it's time for neuroscientists to put down the mouse brain
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我認為現在是神經科學家放下鼠腦,
13:19
and to dedicate the thought and investment necessary
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專心投入必要的腦力和金錢
13:21
to understand the human brain and human disease.
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來了解人腦和人類疾病的時候了。
13:27
Thank you.
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謝謝。
13:28
(Applause)
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(掌聲)
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