特別節目·中文精讀

保拉·阿爾洛塔:從幹細胞到類器官的大腦發育

Paola Arlotta: Brain Development from Stem Cell to Organoid

神經生物學家講述用幹細胞培養大腦類器官,研究皮層發育與疾病機制的前沿工作。

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人類的大腦,在地球上只被進化出來過一次。

Paola Arlotta 是哈佛大學幹細胞與再生生物學教授,研究人類大腦皮層如何誕生、分化、組裝。Lex Fridman 問她,宇宙中出現像人腦這樣東西的機率有多大。她的回答很乾脆:這件事在這顆星球上發生過一次,就說明它可以再發生,剩下的只是機率問題。真正的問題是,我們不知道這個機率有多小。

因為我們對哺乳動物大腦的瞭解,絕大部分來自小鼠。把小鼠大腦和人腦的圖片並排放在一起,它們長得完全不像。這不意味著研究小鼠沒有價值,恰恰相反,我們關於大腦的很多基礎知識都來自小鼠。但有些問題,小鼠永遠回答不了。

造一個大腦要多久,物種自己說了算

人類大腦的建造時間,是"人類時間"。從受精卵到嬰兒出生,大約九個月;從一個嬰兒到擁有一個能支撐這場對話的成年大腦,還要再花二十年。

小鼠呢?從胚胎到出生,二十天左右。

Arlotta 講了一個細節。把小鼠幹細胞放進培養皿,讓它長成小鼠類器官,速度快;把人類幹細胞放進同樣的培養皿,讓它長成人腦類器官,速度慢。同一個實驗流程,兩種物種,節奏完全不同。

發育過程本身,被物種的速度控制著。這不是偶然,它對最終得到什麼樣的腦有意義。(Paola Arlotta)

換句話說,人類大腦之所以需要這麼長時間,不只是因為它更復雜,因為"慢"本身就是這套建造程式的一部分。時間尺度不是副產品,是設計。

先燒磚,再蓋樓,順序不能亂

胚胎髮育的起點,是一個叫神經管的結構。它是一根貫穿胚胎全身的細胞管子,從頭部一直延伸到尾部。這根管子會自己組裝出來,在胚胎裡能發生,在培養皿裡用幹細胞也能發生。

管子裡住著類似幹細胞的東西。一開始它們比較均一,比較多能,也就是說,同一個細胞有潛力變成很多種不同的細胞。隨著時間推移,這些祖細胞變得越來越異質,分化出各種型別,再往下生成不屬於幹細胞家族的特定腦細胞。

可以把胚胎期理解成燒磚、砌牆的階段。你在造磚頭,把磚頭擺成建築、結構、腦區,然後在這些不同種類的細胞之間建立連線,尤其是神經元之間的連線。

這裡有個容易被忽略的點:細胞被造出來的順序,本身就在服務最終產物。

神經元先造,星形膠質細胞這類支援細胞後造。為什麼不能等所有細胞都造好,最後再一股腦拼起來?因為細胞在發育過程中是挨著彼此長的,它們會互相影響對方的發育。一個細胞孤零零在培養皿里長大,和它在一群正在發育的同伴中間長大,接收到的訊號完全不同,長出來的東西也不同。

Arlotta 用了一個比喻:這是一場編排極其精密的舞蹈,我們每一個人發育時,它都按同樣的方式跳一遍。

細胞也會"感覺"到壓力

驅動這套舞蹈的"程式碼"是什麼?一部分是幾百萬年進化打磨出來的基因程式,讓某些細胞在特定時間出現、變成特定型別。另一部分是機械力。

神經管不會永遠是一根管子。發育到某個階段,管子前端會膨脹,形成大腦的原基。這個過程中,細胞會感受到擠壓、拉伸、彎曲。這些物理力和一週前完全不同。細胞感知到"我被擠成這個形狀了",於是開始表達新的基因,因為它現在處在轉角上,或者處在一段被拉長的細胞帶裡。

機械的、物理的力,也在塑造細胞的命運。所以不只是化學,還有力學。(Paola Arlotta)

對一個習慣了軟體和電路的人來說,這一點值得停下來想一想。我們談"資訊",通常預設是化學訊號、電訊號、基因序列。但在這裡,形狀和壓力本身就是資訊。細胞不是先接收指令再改變形狀,形狀的變化直接改寫它接下來要執行的程式。

列印一個大腦,和發育出一個大腦

Lex 提了一個工程師式的問題:既然知道了積木是什麼,為什麼不直接列印一個大腦?

Arlotta 的回答揭示了兩條路的根本差別。假設你拿到同樣的細胞,同樣的積木,理論上你可以把它們按同樣的方式列印出來,每次都一樣。但列印出來的大腦,未必能用得像發育出來的大腦那樣。

原因在於積木本身的歷史。那些細胞是在一個和大腦完全不同的環境裡被製造、被培養出來的。它們已經被那段經歷改寫了。用它們拼出來的東西,從定義上就不同於在真實發育環境裡長出來的東西。

那走發育這條路呢?你會看到,有些類器官會長歪,這一批和下一批不一樣。而真實的胚胎,幾乎每次都走對。一個嬰兒出生,大腦和隔壁嬰兒的大腦高度相似,例外極少。這就是為什麼 Arlotta 說,進化在這場遊戲裡打得非常緊。

Lex 追問:這套建造過程是不是沒有一個獨裁式的中央排程?沒有誰在高處發號施令,說這個細胞長錯了,殺掉它?

她的回答是,可能性很多,而且是分散式的。不同物種用幾乎相同潛力的幹細胞,造出了蜥蜴腦、雞腦、人腦,每一種都服務於那個物種自身的生存。進化沒有指定唯一正確答案,它給了很多條路,每條路在自己的語境裡都成立。

髓鞘的反直覺故事

高中生物課本會告訴你,髓鞘是包在軸突外面的絕緣層,讓電訊號跳著走,速度更快。這個說法沒錯。

沿著這個邏輯推下去,一個更大的腦、一個更復雜的神經系統,理應需要更多髓鞘,因為資訊要從 A 點快速傳到 B 點。

但大約五年前,Arlotta 的團隊發現了一件相反的事。在人類和非人靈長類大腦皮層最頂層,也就是進化上最新、被認為負責最複雜認知功能的那批神經元,軸突上的髓鞘非常少。而且分佈方式很怪:這裡一小段,然後一大段裸露,再一小段,有的地方乾脆完全沒有。

她最初的猜測是,進化還沒走到那一步,再給幾百萬年,這些神經元也會被髓鞘包滿。

但我現在認為,少髓鞘可能才是大腦的未來。更少的絕緣,意味著你在軸突上能做的事更靈活,因此能承載更復雜、更不可預測的功能。(Paola Arlotta)

這個轉向值得細想。髓鞘不只影響速度,它還影響時序。訊號什麼時候到、比另一個訊號早到多少毫秒,本身就是資訊。如果髓鞘的分佈可以被動態調整,那麼同一根軸突在不同時刻傳遞的訊號時序就可能不同,能編碼的內容隨之增加。

進化在最"高階"的神經元上選擇減少絕緣,換取靈活性。這和我們直覺裡"越高階越快、越快越好"的想象,方向不太一樣。

出生時的大腦,只是半成品

先天和後天各佔多少?Arlotta 的回答是,兩者都要。

嬰兒出生時,大腦裡大部分細胞和結構已經就位。接下來二十年,是和環境互動的過程。那個被基因指令建得或完美或不完美的大腦,會把這二十年裡遇到的一切吸收進自己的成熟過程。

最有力的證據來自感覺器官失效的研究。一個天生失明的孩子,原本該處理視覺的那塊皮層,出生後發育路徑會改變,可能被徵用來做別的事。這是可塑性最極端的表現。

可塑性是硬體層面的能力。它不是軟體在已有電路上跑新程式,是電路本身根據輸入重新佈線。所以經驗真的會改變你大腦的物理結構,你和我在不同的學校、學不同的東西、過不同的童年,腦子裡長的東西就是不一樣。

還有一個容易被忽略的時間維度:髓鞘化一直持續到二十五到三十歲。一個六歲孩子,製造成熟少突膠質細胞的過程才剛剛開始。也就是說,"大腦發育完成"這件事,比大多數人以為的要晚得多。

類器官不是大腦

Arlotta 特意請求把這句話留在影片裡:腦類器官不是大腦。這條界限劃得很硬,容不得含糊。

類器官是一種可以在培養皿裡從幹細胞發育出來的細胞系統,它能模擬大腦發育的某些方面,不是全部。最大的類器官直徑只有四到五毫米,大概是一顆小葡萄乾或者蘋果籽的大小。和真正的人腦相比,它簡單得多。

但它有一個不可替代的位置:目前只有它能讓人真正"看著"人腦發育過程展開。

人腦的發育全部發生在子宮裡。我們永遠無法直接接觸那個過程。類器官是退而求其次的選擇:一小堆幹細胞,被引導著啟動神經管形成,然後從中長出大腦裡存在的很多細胞型別。你可以看著它發生,可以研究它。

它還能用來研究疾病。取患者的一份血液或皮膚樣本,重程式設計成幹細胞,再讓這顆帶有該患者完整基因組的幹細胞走一遍形成腦類器官的過程。然後你問:這段基因程式碼,對發育的哪些環節做了什麼?

有史以來第一次,你可能會得到類似"哪些細胞和自閉症有關"這樣的答案。它像一扇小小的、粗糙的窗,看向過去,看向這個孩子的大腦當年被建造的那段時間。(Paola Arlotta)

自閉症譜系障礙有很多種型別,目前醫學界連哪些腦區、哪些細胞型別受到影響都所知甚少。有了這套系統,就可以在實驗室裡追問:發育過程中出了問題時,是哪些細胞受影響?控制大腦發育的分子有千千萬,具體是哪幾個搞砸了?最終產物到底是什麼,是迴路變弱了,是缺少某種細胞,還是別的什麼?

搞清楚這些,治療和照護才能建立在理解之上,而不是僅憑當下的診斷標籤。

一扇看向過去的窗,能看多清楚

檢測異常有多難?Arlotta 說,出問題的地方可能在很多層級。一個細胞被造出來了但功能不對;一個細胞根本沒被造出來;細胞之間的相互作用方式變了。

好在工具在進步。今天的單細胞技術,可以在成千上萬個細胞的海洋裡,以極高精度讀出單個細胞的分子畫像。把健康個體和神經發育疾病患者的單細胞基因表達做對比,差異會浮出來。再結合類器官本身,還能問功能層面的問題:這些神經元怎麼通訊,對刺激怎麼反應,異常在哪裡。

侷限也很清楚。類器官的變異性比真實胚胎大得多。真實胚胎有完整的身體語境,有全套我們還不知道的建造程式碼。類器官一部分靠自己組裝,因為某些結構細胞天生知道怎麼搭;另一部分靠研究者往培養基里加因子,而這些因子大多是從小鼠研究裡學來的,覆蓋範圍有限。

結果是,今天的類器官更像一個還原論版本,主要模擬發育早期事件,造不出很複雜的解剖結構。規模倒不是瓶頸,一個生物反應器裡可以養五十到一百個類器官。真正的瓶頸是讓它們彼此之間足夠一致。變異性太大,你就永遠分不清看到的是規律還是例外。

倫理不是科學家一個人說了算

這門科學往哪裡走,倫理框架必須跟上。Arlotta 的態度很明確:每一場關於倫理的討論,都要基於當下模型的實際資料,以及明天會有的模型的資料。這是一場持續的對話,今天定不了明天的事。

參與對話的人不能只有科學家。生物倫理學家、律師、哲學家、精神病學家、心理學家都要在場,因為最終做決定的是社會,不是實驗室。

同時她也強調科學家自身的道德責任。如果能對一個神經精神疾病患者的腦發育過程做實時觀察、用藥物干預、看到修復,這種變革性在五年前完全不可想象。今天可以做了。不做,代價是什麼?

反方的擔憂也真實存在:這套系統可能被濫用,或者某天組織表現出我們不願意看到的特性。Arlotta 的回應是,今天就今天而言,這不是問題,系統還足夠簡單,和真實大腦差距足夠大,收益遠大於風險。但因為它的確是腦組織,我們有義務持續審視。

她還提了一個關於語言的例子,很值得記住。同一個細胞系統,叫它"腦類器官",和叫它"人腦",公眾的反應會截然不同。所以科學家和記者在描述它的時候都得小心,讓這場辯論是一場基於真實資料的真辯論。

我們和記者一樣,都需要注意描述的方式。這是我全部的請求。(Paola Arlotta)

這一點和自動駕駛領域的語言問題一模一樣。同一個技術,用不同的詞描述,公眾對"該怎麼往前走"的判斷會完全翻轉。技術討論裡,命名從來不是小事。

同一首曲子,不同的樂團

Lex 問她,養兩個孩子,從人腦裡學到了什麼。

她說學到太多了。孩子有驚人的可塑性心智,父母的責任是用健康的方式滋養它,讓他們保持好奇、保持冒險,別在恐懼里長大,同時尊重他們本來的樣子,那部分來自基因。

她的兩個孩子性格差異很大,儘管是同一對父母生的。原因在遺傳學:每次配子結合,基因重新洗牌,產生一個基因組合全新的個體。所以兄弟姐妹從基因上就不同。

那為什麼他們的大腦看起來又那麼像?Arlotta 的比喻很漂亮:你擁有的基因,是那場發育交響樂的樂譜。不同的基因組合,會讓同一份樂譜演奏得略有不同。

就像同一首曲子,換一個樂團、換一種性格來演奏,出來的音樂不一樣。還是同一個作者的作品,但高中樂團演奏出來,和斯卡拉歌劇院演奏出來,是兩回事。(Paola Arlotta)

所以你和另一個人出生時,大腦表面上是一樣的:同樣的細胞型別,相似的連線模式。但細胞的屬性不同,細胞對外部環境的反應也不同。基因決定了樂團,環境決定了這一場演出。

大腦還在進化,皮層會適應技術

研究大腦多年,有沒有改變 Arlotta 看自己的方式?

她說幾乎無法把人的行為和人腦的工作方式分開來看。看到一個青少年情緒起伏、想法古怪,她腦子裡會自動跳出:他們正處在可塑性關鍵期,突觸正在被修剪,所以他們困惑。這個解釋讓她對行為的看法不太一樣了。

她看人類整體時,驚歎於我們能產生的想法,然後忍不住想:下一個大腦會是什麼樣?

進化沒有結束。我們在他自己創造的世界裡進化,這個世界反過來塑造我們。她舉了手機的例子:也許有一天,大腦皮層裡會出現一個專門和這個工具對接的區域。

這不是空想。現代生物研究裡,皮層會根據你必須做的事重新分配資源。需要做精細手指動作的,對應皮層區域會擴大;需要看得很遠的,視覺皮層會更大。大腦會向環境調音。

所以它也會向技術調音。虛擬現實是個現成的例子:戴上頭顯,大腦立刻把你放進那個現實,你會真的產生情緒反應。不需要幾千年適應,可塑性讓大腦從外部被"劫持"感官就能完成遷移。

Arlotta 的總結是:最近這段進化裡,大腦皮層是變化最大的部分,我們把很多籌碼押在了這塊區域上。而皮層的核心能力就是可塑性,改變自己對事物的反應。所以無論我們願不願意,技術都會被整合進去。

這也回答了 Lex 那個關於人工智慧的問題。人工系統會不會成為進化的下一步?她的看法是,某種程度上會,但它未必是以"往腦子裡植入一個合成元件"的方式發生。更可能的方式是,我們生存的環境本身被技術重塑,而大腦作為一臺對環境高度敏感的裝置,會跟著重塑自己。

類器官這條線也一樣。Arlotta 說,不需要一千年。這個領域正在被新技術推動著指數式增長,五年前還沒有的單細胞技術,現在已經是日常工具;把皮膚細胞重程式設計為胚胎幹細胞的技術拿過諾貝爾獎,直接開啟了用幹細胞造器官的整個領域。接下來會看到的變革,是過去一千年裡都沒出現過的那種。

她同時守住一條線:絕大多數嚴肅科學家並不以"造出完整人腦"為目標。要理解發育、理解疾病,你不需要造出整個大腦。至於意識、心智這些從真實人腦裡湧現出來的屬性,我們連它們在真實大腦裡怎麼產生都還沒搞清楚,自然也談不上在類器官裡測量或研究。

你可以帶走的幾件事

  • 下次看到"人腦類器官"這類新聞,先確認兩件事:它是類器官還是大腦?它的直徑是幾毫米?前者是細胞系統,後者才是器官。描述方式會直接決定你的判斷。
  • 如果你做技術,記住"力學也是資訊"這條。細胞會因為被擠壓、被拉伸而改變基因表達。任何系統裡,物理約束都不只是背景條件,它在參與決策。
  • 評估任何"人工構建"的智慧系統時,問一句:它的元件是在什麼環境裡被製造出來的?元件的來歷會寫進最終產物,這一點對細胞成立,對訓練資料、對模型架構同樣成立。
  • 涉及生物與智慧的公共討論,科學家有責任提供資料現實,公眾有權利參與決定邊界。別把倫理判斷完全外包給實驗室,也別用恐懼替代事實。
  • 如果你在養孩子,或者在任何需要長期投入的領域工作,記住髓鞘化到三十歲才完成這件事。可塑性的視窗比你以為的長,早期的輸入很重要,但從來不是終局。
文稿由本站用語音識別模型(基於官方釋出音訊)機器轉寫,可能有識別錯誤,人名與數字請以音訊為準。
[00:00:00] The following is a conversation with Paul La Plata, she's a professor of stem cell and regenerative biology at Harvard University and is interested in understanding the molecular laws that govern the birth differentiation and assembly of the human brain cerebral cortex. She explores the complexity of the brain by studying and engineering elements of how the brain develops. This was a fascinating conversation to me. It's part of the artificial intelligence podcast if you enjoy it. Subscribe on YouTube. Good. Five stars on iTunes, supported on Patrón or simply connect with me on Twitter. [00:00:35] Àlex Friedman spelled F.R. Idi Amin, and I'd like to give a special thank you to Amy Jeffries for support of the podcast. And Patrón, she's an artist. You should definitely check out her Instagram and love truth. Good. Three beautiful words. Your support means a lot and inspires me to keep the series going. And now here's my conversation with Paula Alotta. [00:01:19] You study the development of the human brain for many years. So let me ask you an out of the box question first. [00:01:27] How likely is it that there is intelligent life out there in the universe outside of Earth with something like the human brain that could put it another way? How unlikely is the human brain? How difficult is it to build a thing through the evolutionary process? Well, it has happened here, right on this planet. Once. Yes, once. [00:01:52] So that simply tells you that it could, of course, happen again. Other places is only a matter of probability. What the probability that you would get a brain like the ones that we have, like like the human brain. So how difficult is it to make? The human brain is pretty difficult. But most importantly, I guess we know very little about how this process really happens, and there is a reason for that, actually multiple reasons for that. [00:02:25] Most of what we know about all the mammalian brain, so the brain of mammals developed comes from studying in labs, other brains, not our own brain, the brain of mice, for example. But if I showed you a picture of a mouse brain and then you put it next to a picture of a human brain, they don't look at all like each other. [00:02:47] So they're very different. And and therefore, there is a limit to what you can learn about how the human brain is made by studying the mouse brain, that there is a huge value in studying the mouse brain. [00:02:59] There are many things that we have learned, but it's not the same thing in having studied the human brain or through the mouse and other methodologies that we'll talk about. Do you have a sense I mean, you're one of the experts in the world. How much do you feel, you know about the brain and how much how often do you find yourself in awe of this mysterious thing? [00:03:23] Yeah, you pretty much find yourself, you know, all the time. It's an amazing process, is a process by which by means that we don't fully understand at the very beginning of embryogenesis, the structure called the neural tube literally self-assembly. And it happens in an embryo and it can happen also from stem cells in a dish. [00:03:49] OK, and then from there, these stem cells that are present within the neural tube give rise to all of the thousands and thousands of different cell types are present in the brain through time. Right. With that interesting, very intriguing, interesting observation is that the time that it takes for the human brain to be made, it's human time, meaning that for me and you, it took almost nine months of gestation to build a brain and then another 20 years of learning not only to get the brain that we have today that allows us to this conversation. [00:04:28] And Mouse takes 20 days or so to small an embryo to be born. And so and and so the brain is built in a much shorter period of time. And the beauty of it is that if you take mouse stem cells and you put them in a culture dish, the brain or the brain organoid that you get from a mouse is formed faster, that if you took human stem cells and put them in the dish and let them make a human brain organoid. [00:04:58] So the very developmental process is controlled by the speed of the species, which means it's by its own purpose, not accidental, or there is something in that temporal. [00:05:14] It's exactly that is very important for us to get the brain we have and we can speculate for why that is. [00:05:24] You know, it takes us a long time as as human beings after we're born to learn all the things that we have to learn to have the adult brain. It's actually 20 years. Think about it from when a baby's born to when a teenager goes through puberty to adults. It's a long time. [00:05:43] Do you think you can maybe talk through the first few months and then on through the first 20 years and then for the rest of their lives? What is the development of the human brain look like? What are the different stages? [00:05:58] Yeah, at the beginning you have to build a brain, right? And the brain is made of cells. So what's the very beginning? [00:06:06] Which beginning are we talking about in the embryo as the embryo is developing in the womb, in addition to making all of the other tissues of the embryo, the muscle, the heart, the blood, the embryo is also building the brain. And it builds up from a very simple structure called the neural tube, which is basically nothing but a tube of cells that spans sort of the length of the embryo from the head all the way to the tail of the embryo. [00:06:37] And then over in human beings, over many months of gestation from that neural tube, which contains stem cells like cells of the brain, you will make many, many other building blocks of the brain. [00:06:53] So all of the other cell types, because there are many, many different types of cells in the brain that will form specific structures of the brain. So you can think about embryonic development of the brain is just the time in which you are making the building blocks, the cells. [00:07:10] Are the stem cells relatively homogeneous, like uniform or they are all different. [00:07:15] Very good question is exactly how it works. You start with a more homogeneous. Perhaps more multipotent type of stem cell. That's important. It means that he can it has the potential to make many, many different types of other cells. And then with time, these progenitors become more heterogeneous, which means more diverse, said they are going to be many different types of the stem cells. And also that will give rise to progeny, to other cells that are not stem cells, that are specific cells of the brain that are very different from the mother stem cell. [00:07:52] And now you think about this process of making cells from the stem cells over many, many months of development for humans. And what you're doing is you're building the cells that physically make the brain and then you arrange them in specific structures that are present in the final brain. So you can think about the embryonic development of the brain as the time where you are building the bricks. You're put in a bricks together to form buildings, structures, regions of the brain, and where you make the connections between these many different types of cells, especially nerve cells, neurons. [00:08:31] Right. That transmit action potentials and electricity. [00:08:35] I've heard you also say somewhere, I think, correct me if I'm wrong, that the order of the way this building matters. [00:08:41] Oh, yes. If you are an engineer and you think about development, you can think of it as well. I could also take all the cells and bring them all together into a brain in the end. But development is much more than that. So the cells are made in a very specific order that subserve the final product that you need to get in. So, for example, all of the nerve cells, the neurons are made first in all of the supportive cells of the neurons, like the glia is made later. [00:09:13] And there is a reason for that because they have to assemble together in specific ways. But you also may say, well, why don't we just put them all together in the end is because as they develop next to each other, they influence their own development. So it's a different thing for a to be made alone in a dish than uglier and uglier shall be made in a developing embryo with all these other cells surrounded that produce all these other signals. [00:09:39] First of all, it's mind blowing that the development process, from my perspective, an artificial intelligence. You often think of how incredible the final product is, the final product, the brain. But you just you're making me realize that the final product is just is the beautiful thing is the actual development and development process. Do we know the code that drives that development? [00:10:07] Yeah. Do do we have any sense? [00:10:09] First of all, thank you for saying that. It's really the formation of the brain is really its development, this incredibly choreographed dance that happens the same way every time each one of us builds the brain. Right. And that built-In organ that allows us to do what we're doing today. Right. That is mind blowing. And this is why developmental neurobiologist never get tired of studying that. [00:10:38] Now you're asking about the code. [00:10:40] What drives this? How is this done? Well, it's, you know, millions of years of evolution of really fine tuning genus OPERACION programs that allow certain cells to be made at a certain time and to be in to become a certain cell type, but also mechanical forces of pressure. Bending this embryo is not just it will not stay a tube. This this brain for very long at some point is a tube in the front of the of the embryo will expand to make the premortem of the brain. [00:11:13] Right now, they're the forces that control that the cells feel. And this is another beautiful thing at the very force that they feel, which is different from a week before a week ago. We'll tell the cell, oh, you're being squished in a certain way, begin to produce these new genes because now you are the corner or you are, you know, in a stretch of cells or whatever it is. [00:11:39] And that so that mechanical physical force shapes the fate of the cell as well. So not only chemical, it's also mechanical, mechanical. So from my perspective, biology is this incredibly complex, messy, gooey mess. So you're saying mechanical forces. Yes. How different is like a computer or any kind of mechanical machine that we humans build and the biological systems? Have you been because you've worked a lot with biological systems, are they as much of a mess as it seems from the perspective of an engineer, a mechanical engineer? [00:12:19] Yeah. They are much more prone to taking alternative routes, right? So if you we go back to printing a brain versus developing a brain. [00:12:34] Of course, if you print a brain, given that you start with the same building blocks, the same cells you could potentially print did the same way every time. But that final brain may not work the same way as a brain built during development does because the very, very same building blocks that you're using developed in a completely different environment. That was not the environment of the brain. Therefore, they're going to be different just by definition. [00:13:03] So if you instead use development to build, let's say, a brain organoid, which maybe we would be talking about. [00:13:10] And if you're sure. Because things are fascinating. Yes. So if you if you use processes of of development, then you when you watch it, you can see that sometime things can go wrong in some organoids and Buronga, I mean, different ones are going to from the next. If you think about that embryo, it always goes right. [00:13:31] So it's this development. It's for as complexity as it is. Every time a baby's born has, you know, with very few exceptions to the brain, it's like the next baby, but it's not the same if you develop it in a dish. And first of all, we don't even develop a brain. You develop something much simpler in the dish. But there are more options for building things differently, which really tells you that evolution as as played a really tight game here for our in the end. [00:14:07] The brain is built in vivo. [00:14:09] So just a quick maybe dumb question, but it seems like this is not the building process is not a dictatorship. It seems like there's not a centralized, like, high level mechanism that says, OK, this cell built itself the wrong way. I'm going to kill it. It seems like there's a really strong distributed mechanism is that is in your sense? [00:14:33] There are a lot of that are a lot of possibilities. Right. And if you think about, for example, different species building their brain, each brain is a little bit different. So the brain of a lizard is very different from that of a chicken, from that of a, you know, one of us and so on and so forth. [00:14:52] And still is a brain. [00:14:54] But it was built differently starting from stem cells that pretty much had the same potential. [00:15:02] But in the end, evolution built different brains in different species because that serves in a way, the purpose of that species and the well-being of that organism. And so there are many possibilities. But then there is a way and you were talking about a code, nobody knows what the entire code of development is. Of course we don't. We know bits and bits and pieces of very specific aspects of development of the brain. What genes are involved to make a certain cell types, how those two cells interact, to make the next level structure that we might know, but the entirety of it with so well, control, it's really mind blowing. [00:15:42] So in the first two months in the embryo or whatever, the first few months. So yeah, that the building blocks are constructed, the actual the different regions of the brain, I guess in the nervous system, while this continuous way longer than just the first few months or so over the the very first, you know, few months, you'll build a lot of the cells. [00:16:08] But then there is continuous building of new cell types all the way through birth and then even post Natalie. You know, I don't know if you have ever heard of myelin. Myelin is this sort of insulation that is built around the cables of the neurons so that the electricity can go really fast from exons. [00:16:28] I guess the accidents are called accidents. Exactly. [00:16:32] And and so as human beings that we myelinated ourselves, Natalie, a kid, you know, a six year old kid has barely started the process of making the mature oligodendrocytes, which are the cells that then eventually will rapidly axons into myelin. And this will continue. Believe it or not, until we are about, you know, 25, 30 years old. So there is a continuous process of maturation and tweaking and additions and and also in response to what we do. [00:17:07] I remember taking A.P. biology in high school and in the textbook. It said that I'm going by memory here, that scientists disagree on the purpose of myelin in in the brain. Is that is that totally wrong? So, like, I guess it speeds up the judge a book by be wrong here, but I guess it speeds up the electricity, traveling down the axon or something. [00:17:34] So that's the most sort of canonical and definitely that's the case. So you have to imagine an axon and you can think about it as a cable or some type with electricity going through. [00:17:45] And what myelin does by insulating the outside, I should say, that are tracks of myelin and pieces of axons that are naked without myelin. And so by having the insulation on the electricity, instead of going straight through the cable, it will jump over a piece of myelin right to the next the naked little piece and jump again. And therefore, you know, that's the idea that you go faster. [00:18:10] And it was always thought that in order to build a big brain, a big nervous system, in order to have a nervous system, it can do very complex the type of things. Then you need a lot of myelin because you want to go fast with this information from point A to point B.. [00:18:29] Well, well, a few years ago, maybe five years ago or so, we discovered that some of the most evolved, which means the newest type of neurons that we have as non-human primates, as as human beings in the top of our cerebral cortex, which should be the neurons that do some of the most complex things that we do with those of axons that have very little myelin. [00:18:53] Wow. [00:18:54] And they have very interesting ways in which they put the smiling on their axons. [00:19:00] You know, a little piece here, then a long track with another chunk there and some don't have mining at all. [00:19:06] So now you have to explain where we are going with evolution. [00:19:14] And if you think about it, perhaps as an electrical engineer, when I looked at it, I initially thought, and I'm a developmental neurobiology, I thought maybe this is what we see now. But if we give evolution another few million years, we'll see a lot of myelin on these neurons, too. [00:19:32] But I actually think now that that's instead the future of the brain, less myelin may allow for more flexibility on what you do with your axons and therefore more complicated and unpredictable type of functions, which is also a bit mind blowing. [00:19:50] So it seems like it's controlling the timing of the signal. So they're in the timing. You can encode a lot of. Yes. Information. Yeah. [00:19:59] And so the brain, the timing, the chemistry of that little piece of axon perhaps is a dynamic process where the myelin can move. Now you see how many layers of variability you can add. And that's actually really good if you're trying to to come up with a new function or a new capability or something unpredictable in a way. [00:20:22] So we're going to jump around a little bit. But the old question of how much is nature and how much is nurture in terms of this incredible thing after the development is over? We seem to be kind of somewhat smart, intelligent cognition, consciousness. [00:20:43] All of these things are just incredible ability to reason so often emerge. In your sense, how much is in the hardware, in the nature and how much is in the nurture is learned through with our parents to interact with the environment. So it's really both right, if you think about it. So we are born with the brain as babies that has most of his cells and most of the structures, and that will take a few years to, you know, to grow, to add more, to be better. [00:21:16] But really, then we have this 20 years of interacting with the environment around us. And so what that brain that was so, you know, perfectly built or imperfectly built due to our genetic cues will then be used to incorporate the environment in its further maturation and development. And so your experiences do shape your your brain. I mean, we know that, like, if you and I may have had a different childhood or a different we have been going to different schools who have been learning different things. [00:21:52] And our brain is a little bit different because of that. We behave differently because of that. And and so especially snottily, experience is extremely important. We are born with a plastic brain. And what that means is a brain that is able to change in response to stimuli that can be sensory. So perhaps some of the most illuminating studies that were done were studies in which the. Sensory organs were not working right? If you are born with eyes that don't work, then your very brain, that piece of the brain that normally would process vision, the visual cortex develops postnatal differently and it might be used to do something different. [00:22:39] Right. So that's the most extreme. [00:22:41] The plasticity of the brain, I guess, is the magic hardware that and then it's it's flexibility in all forms is what enables the learning postnatal. Can you talk about organoids? What are they. Yes. And how can you use them to help us understand the brain and the development of the brain? [00:23:01] This is very, very important. So the first thing I like to say, please keep this in the video. [00:23:08] The first thing I'd like to say is that in Organoid, a brain organoid is not the same as a brain, OK? It's a fundamental distinction. [00:23:19] It's a system, a cellular system that one can develop in the culture dish, starting from stem cells that will mimic some aspects of the development of the of the brain, but not all of it. They are very small maximum. They become about four to five millimeters in diameter. So they are much simpler then than our brain, of course. But yet they are the only system where we can literally watch a process of human brain development unfold. And by what I mean, study it. [00:24:01] Remember when I told you that we can understand everything about development, our own brain by studying a mouse, when we can study the actual process of development of the human brain because it all happens in utero. [00:24:12] So we will never have access to that process ever. And therefore, this is our next best thing, like a bunch of stem cells that can be coaxed into starting a process of neural tube formation. [00:24:27] Remember the tube that is made by the embryo early on and from there, a lot of the cell types that are present within within the brain and you can simply watch it and study by you can also think about diseases where development of the brain does not proceed normally, write properly, think about neurodevelopmental diseases that are many, many different types. Think about autism spectrum disorders that are also many different types of autism. [00:24:58] So there you could take a stem cell, which really means either a sample of blood or a sample of skin from the patient, make a stem cell, and then with that stem cell watch a process of formation of a brain organ of the person of that person, with their genetics, with that genetic code in it. And you can ask, what is this genetic code doing to some aspects of development of the brain? For the first time, you may come to solutions like what cells are involved in autism. [00:25:31] So, so many questions around this. So if you take this human stem cell for that particular person with that genetic code, how and you try to build an organoid. Yeah. How often will it look similar? What's the. Yeah. Yeah. So reproducibility. [00:25:49] Yes. Or how much variability is the flip side of that. Yeah. [00:25:53] So that is much more variability in building organoids than there than there is in building brain. It's really true that the majority of us, when we are born as babies, our brains look a lot like each other. This is the magic that the embryo does where it builds the brain in the context of a body. And and there is very little variability there. [00:26:17] That is disease, of course, but in general, variability, when you build an organoid, you know, we don't have the full code for how this is done. And so, in part, the organoid somewhat built itself because there are some structures of the brain that the cells know how to make. And another part comes from the investigator, the scientist, the adding to the media factors that we know in the mouse, for example, would foster a certain step of development. [00:26:46] Right. But it's very limited. And so as a result, the kind of product you get in the end is much more reductionist. It's much more simple than what you get in vivo. It mimics early events of development as of today, and it doesn't build very complex type of anatomy. And structure does not as of today, which happens. Is that in vivo? And also the variability that you see one are going to the next tends to be higher than when you compare. [00:27:19] An embryo to the next. So, OK, then the next question is how hard and maybe another flipside of that expensive is it to go from one stem cell to an organoid? Yeah. How many can you build in life? Because it sounds very complicated. [00:27:34] It's work, definitely. And it's money, definitely. [00:27:39] But you can really grow a very high number of these organoids. You can go perhaps I told you the maximum, they become about five millimeters. [00:27:51] So this is about the size of a of a tiny, tiny, you know, Raisen. Yeah. Or perhaps the seed of an apple. And so you can grow 50 to 100 of those inside one big bioreactors, which are these flasks where the media provides nutrients for the organoids. [00:28:11] So the problem is not to to grow more or less of them. It's it's really to figure out how to grow them in a way that they are more and more reproducible, for example, organic to organic. So they can be used to study a biological process, because if you have too much variability, then you never know if what you see is just an exception or the rule. [00:28:35] So what is it going to look like? Are there different neurons already emerging? Is there you know? Well, first, can you tell me what kind of neurons are there? Yes. Are they sort of all the same? Are they not all the same as the how much do we understand and how much of the variance, if any, can exist in organoids? Yes. [00:29:03] So you could grow. I told you that the brain has different parts. All right. So the cerebral cortex is on the top part of the brain, but there is another region called the striatum that is below the cortex and so on and so forth. All of these regions have different types of cells in the actual brain. OK, and so scientists have been able to grow organoid. So that may mimic some aspects of development of these different regions of the brain. [00:29:30] And so we are very interested in the cerebral cortex because part. Right. [00:29:34] I agree with you. [00:29:37] So you are talking if we didn't have a cerebral cortex is also like to thank the part of the brain that really, truly makes us human, the most evolved in recent evolution. [00:29:46] And so in the attempt to make the cerebral cortex and by figuring out a way to have these organoids continue to grow and develop for extended periods of times, much like it happens in the real embryo, months and months in culture, then you can see that that many different types of neurons of the cortex appear and at some point also the astrocytes. So the glial cells of the cerebral cortex also appear. [00:30:14] What are these astrocytes astrocytes? The astrocytes are not neurons. So they're not nerve cells, but they they play very important roles. One important role is to support the neuron, but of course, that they have much more active type of roles that are very important, for example, to make the synapses, which are the point of contact and communication between two neurons. [00:30:34] So. They so all that chemistry fun happens to be in the synopsize happens because of these cells, are they the medium? [00:30:45] And what happens because of the interaction happens because you are making the cells and they have certain properties, including the ability to make, you know, neurotransmitters, which are the chemicals that are secreted through the synapses, including the ability of making these axons grow with their growth cones and so on and so forth. [00:31:05] And then you have other cells around that release chemicals or catch the neurons or interact with them in different ways to really foster this perfect process in this case of synaptic genesis. And this doesn't happen within within Organoid overnight. [00:31:22] So the mechanical and the chemical stuff happens. The connectivity between neurons, these in a way, is not surprising because scientists have been culturing neurons for ever. And when you take a neuron, even a very young one and you culture, it eventually finds another side or another neuron to talk to, it will form a sign ups. [00:31:43] Are we talking about mice neurons which are more human? It doesn't matter both. So you can culture and you're not like a single neuron and give it a little friend and it starts interacting. Yes. [00:31:54] So neurons are able to it sounds it's more simple than what it may sound to you in neurons have molecular properties and structural properties that allow them to really communicate with other cells. And so if you put not one neuron, but if you put several neurons together, chances are that they will form synapses with each other. [00:32:16] OK, so an organism is not a brain. [00:32:19] No, but but there are some able to, especially what you're talking about, mimic some properties of the cerebral cortex, for example. So what what can you understand about the brain by studying in organoid of the cerebral cortex? [00:32:37] I can literally study all this incredible diversity of cell type, all these many, many different classes of cells. How are they made? How do they look like? What do they need to be made properly? And what goes wrong? If now the genetics of that stem cell that I used to make the organ came from a patient with a neurodevelopmental disease, can I actually watch for the very first time what may have gone wrong years before in this kid when its own brain was being made? [00:33:09] Think about that. Look, in a way, it's a little tiny, rudimentary window into the past, into the time when their brain in a kid that had this developmental disease was being made. And I think that's unbelievably powerful because today we have no idea of what cell types. We barely know what brain regions are affected in these diseases. Now, we have an experimental system that we can study in the lab and we can ask, what are the cells affected when during development things went wrong? [00:33:48] What are the molecules among the many, many different molecules that control brain development? Which ones are the ones that really messed up here? And we want perhaps to fix and what is really the final product? Is it a less strong kind of circuit and brain? Is it a brain that lacks a cell type? Is it what is it? Because then we can think about treatment and and care for this patients that is informed rather than just based on current diagnostic. [00:34:18] So how hard is it to detect through the development process the super exciting tool just to see how different conditions develop? How hard is it to detect that? Wait a minute. This is abnormal development. Yeah, that's how hard it is. How much signal is there? How much of it is as it mess? [00:34:42] Because things can go wrong at multiple levels. Right. You could have a cell that is born and built but then doesn't work properly or a cell that is not even born or cells interact with other cells differently and so on and so forth. [00:34:58] So today we have technology that we do now have even five years ago that allows us to look, for example, at the molecular picture of a cell of a single cell in a sea of cells with high precision. And so that molecular information where you compare many, many single cells for the genes that they produce between a control individual and an individual with a neurodevelopmental disease, that may tell you what is different molecularly. Or you could see that some cells are not even made, for example, or. [00:35:36] The process of maturation of the South may be wrong. There are many different levels here and and we can study the cells at the molecular level, but also we can use the organoids to ask questions about the properties of the neurons, the functional properties, how they communicate with each other, how to respond to a stimulus and so on and so forth. And we may get abnormalities there, right. [00:36:02] Detect those. So how early is this work in the maybe in the history of science? [00:36:11] So so the question I mean, like so if you were to if you need time travel a thousand years into the future, organoids seem to be maybe I'm romanticizing the notion. But you're building not a brain, but something that has properties of a brain. So it feels like you might be getting close to in the building process to to build us to understand. So how how far are we in this understanding process of development? Thousand years from now, it's a long time from now. [00:36:50] So if this planet is still going to be here a thousand years from now. [00:36:54] So, I mean, if, you know, they write a book, obviously there'll be a chapter about that science fiction book today. Yes. I mean, I guess where we really understood very little about the brain a century ago was I was big fan in high school reading Freud and so on. So I am a psychiatrist. I would say we still understand very little about the functional aspect of just. [00:37:19] Yeah, but how in the history of understanding the biology of the brain, the development, how far are we along? [00:37:27] It's a very good question. And so this is just, of course, my opinion. I think that we did not have technology even ten years ago or and certainly not 20 years ago to even think about experimentally investigating the development of the human brain. So we've done a lot of work in science to study the brain of many other organisms. Now we have some technologies which I'll spell out that allow us to actually look at the real thing and look at the brain and the human brain. [00:38:01] So what are these technologies? That has been huge progress in stem cell biology at the moment. Someone figured out how to turn a skin cell into an embryonic stem cell, basically, and that now that embryonic stem cell could begin a process of development again to, for example, make a brain that was a huge and, you know, advance. And in fact, there was a Nobel Prize for that that started the field, really, of using stem cells to build organs. [00:38:30] Now we can build on all the knowledge of development that we build over the many, many, many years to say how do we make the stem cells now make more and more complex aspects of development of the human brain. So this field is younger, the field of brain organoids, bodies moving faster, and it's moving fast in a very serious way that is rooted in labs with the right ethical framework and and really building on, you know, solid science for what realities and what is not. [00:38:59] And but it will go faster and it will be more and more powerful. We also have technology that allows us to basically study the properties of single cells across many, many millions of single cells, which we didn't have perhaps five years ago. So now with that, even in Organoid, it has millions of cells can be profiled in a way looked at with very, very high resolution, the single cell level to really understand what is going on. And you could do it in multiple stages of development and you can build your hypothesis and so on and so forth. [00:39:36] So it's not going to be a thousand years. It's going to be a shorter amount of time. And I see this as sort of an exponential growth of this field enabled by these technologies that we didn't have before. And so we're going to see something transformative that we didn't see at all in the prior thousand years. [00:39:58] So I apologize for the crazy sci fi questions, but the development process is fascinating to watch and study. But how far out are we away from and maybe how difficult is it to build not just an organoid but a human brain, OK, from a stem cell? Yeah, first of all, that's not the goal for the majority of the serious scientists that work on this, because you don't have to build the whole human brain to make this model useful for understanding how the brain develops or understanding disease. [00:40:36] You don't have to build the whole thing. [00:40:38] So let me let me just comment. And that is fascinating. It shows to me the difference between you and I as you're actually trying to understand the beauty of the human brain and to use it to really help thousands or millions of people with disease and so on. Right. [00:40:55] From an artificial intelligence perspective, we're trying to build systems that we can put in robots and try to create systems that have echoes of the intelligence about reasoning about the world, navigating the world. It's it's different objectives. [00:41:11] I think that's very much science fiction, science fiction. We operate in science fiction. So so on that point of building a brain, even though that is not the focus, our interest perhaps of the community. How difficult is it? Is it truly science fiction at this point? I think the field will progress. [00:41:29] Like I said, and that the system will be more and more complex in a way. Right. But there are properties that emerge from the human brain that have to do with the mind, that may have to do with consciousness and may have to do with intelligence or whatever. And we don't really. On don't understand even how they can emerge from an actual real brain and therefore we can not measure or study in a in an organoid. So. So I think that this field in many, many years from now may lead to the building of better neural circuits of, you know, that really are built out of understanding of how this process really works. [00:42:08] And it's hard to predict how complex this really will be. I really don't think we're so far from it makes me laugh, really. [00:42:17] It's not really that far from building the humor, the human brain. But you're going to be building something that is, you know, always a bad version of it, but that may have really powerful properties and might be able to respond to stimuli or or abuse in certain context. [00:42:38] And this is why I really think that there is no other way to do this science but within the right ethical framework, because where you are going with this is also, you know, we can talk about science fiction and write that book and we could today. But this work happens in a specific ethical framework that we don't decide, just a scientist, but also as a society. [00:43:01] So the ethical framework here is a fascinating one. Is a complicated one. Yes. Do you have a sense, a grasp of how we think about ethically of building organoids from human stem cells to understand the brain? It seems like a tool for helping potentially millions of people cure diseases or at least start the cure by understanding it. But is there more is there grey areas that are ethical that we have to think about ethically? [00:43:38] Absolutely. We must think about that. Every discussion about the ethics of this needs to be based on actual data from the models that we have today and from the ones that we will have tomorrow. So it's a continuous conversation. It's not something that you decide now today that is not really very simple models. They actually can help you in many ways without much, much think about. But tomorrow we need to have another conversation and so on and so forth. [00:44:09] And so the way we do this is to actually really bring together constantly a group of people that are not only scientists, but also bioethicists, lawyers, philosophers, psychiatrists and psychologists and so forth, to decide as a as a society really what we should and what we should not do. [00:44:31] So that's the way to think about the ethics. Now, I also think, though, that as a scientist, I have a moral responsibility. So if you if you think about how transformative it could be for understanding and curing a neuropsychiatric disease, to be able to actually watch and study and treat with drugs the very brain of the patient that you are trying to study, how transformative at this moment in time this could be. We couldn't do it five years ago. [00:45:05] We could do it now. Right. [00:45:07] Taking a photo of a particular patient and make an organoid for a simple and, you know, different from the from the human brain is still is his process of brain development with his with his or her genetics. And we could understand perhaps what is going wrong. Perhaps we could use as a platform, as a cellular platform to screen for drugs or to fix a process and so on and so forth. Right. So we could do it now. We could undo it five years ago. [00:45:35] Should we not do it? What is the downside of doing it? [00:45:40] I don't see a downside. But if we invited a lot of people. Yes, if I'm sure there would be somebody who would would argue against that, what would be the devil's advocate argument? Yeah. What's yeah. Yeah. [00:45:55] So it's exactly perhaps what you alluded at with your question that you are making is enabling, you know, some, some process of formation of the brain that could be misused at some point or there could be showing properties that ethically we don't want to see in a tissue. So today, I repeat today this is not an issue. And so you just gain dramatically from the science without because the system is so simple and and so different in a way from from the actual brain. [00:46:34] But but because it is the brain and we have an obligation to really consider all of this. Right. And again, it's it's a balanced conversation where we should put disease and betterment of your. Also on that plate, what do you think, at least historically, there was some politicization, politicization of embryonic stem cells, a stem cell research. Do you still see that out there? Is there is that still a force that we have to think about, especially in this larger discourse that we're having about the role of science in at least American society? [00:47:16] Yeah, this is a very good question. It's very, very important. I see a very central role for scientists to inform decisions about what we should or should not do in society. And this is because the scientists have their first hand look and understanding of really the work that they are doing. And again, this varies depending on what we're talking about here. [00:47:43] So now we're talking about brain organoids. I think that the scientists need to be part of that conversation about what is will be allowed in the future or not allowed in the future to do with the system. [00:47:56] And I think that is very, very important because they bring reality of data to the conversation and and so they should have a voice. [00:48:07] So data should have a voice that needs to have a voice because it not only data, we should also be good at communicating with nonscientist the data. So that has been oftentime. There is a lot of discussion and, you know, excitement and fights about certain topics just because of the way they are described. I'll give you an example. If I call that the same cellular system we just talked about a brain organoid or if I called it a human brain, your reaction is going to be very different to this. [00:48:50] And so the way the systems are described, I mean, we and journalists alike need to be a bit careful that this debate is a real debate and informed by real data. That's all I'm asking. [00:49:03] And the the language matters here. So I work on autonomous vehicles and they're the use of language. It could drastically change the interpretation and the way people feel about what is the right way to proceed forward. You are, as I've seen from a presentation, you're a parent, as I say, show a couple of pictures of your son. Is it just the one to two son or daughter, son or daughter? So what have you learned from the human brain by raising two of them? [00:49:36] More than I could ever love. What have I learned? [00:49:42] I've learned that children really have this amazing plastic mines, right, that we have a responsibility to, you know, foster their growth in good, healthy ways, that keep them curious, that keeps them adventurous, and that doesn't raise them in fear of things, but also respecting who they are, which is in part, you know, coming from their genetics. [00:50:07] We talked about the my children are very different from each other, despite the fact that they are the product of the same two parents. I also learned that what you do for them comes back to you like, you know, if you're a good parent, you're going to most of the time have, you know, perhaps a decent kids at the end. [00:50:28] What do you think? Just a quick comment. What do you think is the source of that difference? That's often the surprising thing for parents. [00:50:37] A, can't believe that our kids the oh, they're so different. Yet they came from the same parents. [00:50:44] Well, they are genetically different, even though they came from the same two parents, because the mixing of Gometz and when we know all genetics creates every time a genetically different individual, which will have a specific mix of genes, that is a different mix every time from the two parents. [00:51:02] And so so they are not doing so. [00:51:06] They are genetically different. Just that little bit of variation, as you said, really from a biological perspective, the brains look pretty similar. Well, so let me clarify that. So the genetics you have, the genes that you have that play, that beautiful orchestrated symphony of development, different genes will play slightly differently. It's like playing the same piece of music, but with the different orchestra and a different character. [00:51:35] Right. [00:51:36] The music will not come out. It will be still a piece by the same author, but it will come out differently if it's played by the high school orchestra instead of that. [00:51:48] Is that all Scala in Milan? [00:51:49] Yeah. And so you are born superficially with the same brain. It has the same cell types, similar patterns of connectivity, but the properties of the cells and the cells would then react to the environment. As we experience your world will be also shaped by people genetically. You are speaking just as a parent. This is not something that comes from my work. [00:52:13] I think you can tell a birth that is different that they have a different personality in a way. [00:52:20] And so both is needed, the genetics as well as the nurturing of their words to so you are one human with a brain and sort of living through the whole mess of it. The human condition full of love, maybe fear, ultimately mortal. How has studying the brain changed the way you see yourself when you look in the mirror, when you think about your life, the fears, the love, when you see your own life, your own mortality? [00:52:50] Yeah, that's a very good question. It's almost impossible to dissociate some time for me some of the things we do or some of the things that other people do from. Oh, that's because they're part of the brain is working in a certain way or thinking about a teenager, you know, going through teenage years and being a time funny in the way they think and impossible for me not to think. [00:53:22] It's because they are going through this period of time called critical periods of plasticity where their synapses are being eliminated here and there and they're just confused. [00:53:34] And so from that comes to perhaps a different take on that behavior, or maybe I can justify it scientifically in some sort of way. I also look at humanity in general, and I am amazed by what we can do and the kind of ideas that we can come up with. And I cannot stop thinking about how the brain is continuing to evolve. I don't know if you do this, but I think about the next brain sometimes. [00:54:05] What are we going with this? Like what are the features of this brain that, you know, evolutionary is really plain weird to get us, you know, in the future. [00:54:17] The new brain, it's not over, right. It's it's a work in progress. [00:54:23] So let me just a quick comment on that. Do you see do you think there's a there's a lot of fascination and hope for artificial intelligence of creating artificial brains. You said the next brain, when you imagine over a period of a thousand years the evolution of the human brain. Do you sometimes envisioning that future see an artificial one, artificial intelligence, as it is hoped by many not hoped, thought by many people, would be actually the next evolutionary step in the development? [00:54:56] Yeah, yeah. I think in a way. That will happen, right? It's almost like a part of the way we evolve, we evolve in the world that we created, that we interact with, that shape us as we grow up and so on and so forth. Sometime I think about something that may sound silly, but think about the use of of cell phones. Part of me thinks that somehow in their brain, that will be a region of the cortex. [00:55:25] That is the smart tuned, attuned to that tool. And this comes from a lot of studies in in in in modern organisms where really the cortex especially adapts to the kind of things you have to do. So if we need to move our fingers in a very specific way, we have a part of our cortex that allows us to do this kind of very precise movement in our world has to see very, very far away with big eyes, the visual cortex very big, the brain attuned to your environment. [00:55:59] So the brain will attuned to the to the technologies that we will have and will be shaped by it. [00:56:07] So the cortex very well may be shaped by it in artificial intelligence may merge with it. [00:56:13] They may get it and develop it and adjust, even if it's not, you know, emerge of the kind of, oh, let's have a synthetic element together with a biological one, the very space around us. The fact, for example, think about we put on some goggles or virtual reality and we physically are surfing the ocean like, I dunno, then you have all these emotions that come to you. Your brain placed you in that reality and it was able to do it like that just by putting the goggles on. [00:56:47] It didn't take thousands of years of adapting to this. The brain is plastic, so adapt to new technology. So you could do it from the outside by simply hijacking some sensory capacities that we have. [00:57:03] So clearly over recent evolution, the cerebral cortex has been a part of the brain that has known the mossed evolution. [00:57:12] So we have put a lot of chips on evolve in this specific part of the brain. [00:57:18] And the evolution of cortex is plasticity. Is this ability to change your response to things? So yes, they will integrate that we want it or not. [00:57:31] Well, there is no better way to end it. [00:57:34] Paula, thank you so much for talking to us. [00:57:35] Very well. That's great. Very exciting.

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