#191 - Revolutionizing our understanding of mental illness with optogenetics | Karl Deisseroth M.D., Ph.D.
Episode Stats
Length
2 hours and 29 minutes
Words per Minute
166.47464
Summary
In this episode, Dr. Carl Deseroth joins me to discuss his life and career as a psychiatrist and neuroscientist at Stanford University. We talk about his early life, his path to becoming a psychiatrist, and his discoveries in the field of neuroscience and mental illness.
Transcript
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Hey, everyone. Welcome to the drive podcast. I'm your host, Peter Atiyah. This podcast,
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head over to peteratiyahmd.com forward slash subscribe. Now, without further delay,
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here's today's episode. My guest this week is Carl Deseroth. Carl's a former classmate of mine
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from Stanford where he received his MD and PhDs. He completed his clinical training in psychiatry,
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and he also did a postdoctoral fellowship there at Stanford at the same period of time. He's
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currently a professor of psychiatry and behavioral sciences and bioengineering at Stanford. Now,
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over the past 16 years, Carl's lab has focused on combining neuroscience and bioengineering
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to basically create a set of revolutionary tools that have done something for the first time ever in
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neuroscience, which is basically to allow the use of genetic engineering to input light-sensitive
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channels into very specific neurons. In fact, into any neuron that they choose to put these into.
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This then allows Carl and his team, and of course now others who have been able to follow
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in his footsteps, to use photons, that is to say to use light, to turn on and turn off very selective
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neurons. This is something that was absolutely impossible until about a decade ago. This tool is
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referred to as optogenetics. And as its name suggests, it's opto, it's light, it's genetics, it uses this
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genetic engineering tool to put these channels, these light-sensitive channels into neurons. And this
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has opened up a field of neurobiology that basically has allowed investigators like Carl to ask questions
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that have never been asked or answered before. And in this discussion today, we go into not just how
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Carl and his team came up with these unbelievable ideas and how they refine the tools, but now what they've
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learned as a result of doing this. Now this work has not gone unnoticed in the scientific community.
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Carl has won virtually every scientific award out there. And in fact, previously, just this month,
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he was awarded the very prestigious Lasker award for his optogenetic light activated molecular research.
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Now it's worth pointing out to those who might not be aware that about 50% of Lasker winners go on to
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win the Nobel prize. And though I would never jinx Carl by saying this directly to his face,
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I don't think there's anybody in the field who does not believe that Carl will indeed win the Nobel
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prize in the not too distant future. And of course, he is entirely deserving of it when you understand
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the nature of this work and how it has completely changed our understanding of the human mind. In this
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episode, we talk not just about his background and how it led him to these discoveries and his chosen
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career path, but we also dive into some of the deeper questions about mental illness. Remember,
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Carl is a practicing psychiatrist and it's his interest in the human condition that really guides
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his research. And so we dive quite deep into depression, anxiety, autism. We touch briefly on some
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personality disorders, but truthfully, we kind of run out of time about two and a half hours into
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this episode. And truthfully, we had really only got through about half of the material that I had
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wanted to talk about. So it's safe to say that Carl will absolutely be back on this podcast because
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there's still so much we want to talk about. The other thing I want to make sure you are all aware
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of before we jump into this is that Carl has recently written a remarkable book called Projections,
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a book that I think I mentioned in the podcast. I've read twice and his ability to write is perhaps
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only rivaled by his ability to conduct Nobel Prize worthy science. He is a remarkable writer and you
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don't need to be afraid of this book being written by such an esteemed scientist. It reads like a piece
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of poetry and it really is a remarkable book and a remarkable journey into not just his personal journey,
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but also into the eye of mental illness. So without further delay, please enjoy my conversation with
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Carl Deseroth. And I think I feel safe in saying that this is a part one.
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Hey, Carl, it is so good to see you today, although admittedly across video, but it's like a little blast
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from the past from, I don't know, 20 years ago, right? Yeah, it's amazing. We had a good group of
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friends back in the old days at Stanford and I haven't kept in touch with them as much as I'd hoped,
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but it's great to see you. It really brings back a lot of memories. You look great, unchanged.
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Well, yeah, that's funny. You don't look a bit different. It is funny when I think back to that
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class of ours in med school, and I really feel like the overwhelming underachiever of our class.
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And I remember our first day of our surgical rotation, you, me, and Josh Rabinowitz in that,
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sitting in that room waiting for us to be assigned to which service we would go to.
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Of course, you and Josh have gone on to do unbelievable things. I've sort of modeled along.
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Now you're the star. And plus, I remember you, even though it was the start of our surgery rotation,
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you already knew how to do everything, which I was impressed by. You knew all the knots and
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I was like, wait, this is the first day of the rotation. How do you do that?
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Well, let's pick it up back there. So you were in the MD-PhD program. So we didn't start at the
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same time. We just finished at the same time. You had come in earlier, but I think the reason I
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knew you even on our first day of surgery was because you had done your PhD in the same lab
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as two other friends of mine, Alex Ravanis and Jason Pyle. And all kidding aside, I think that,
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look, all the kids that went to med school were pretty bright, but I think the MD-PhD students were
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sort of in a class of their own. And I suspect it was even harder to get into that program than it
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was just the straight MD program. So thinking back to your time as an undergrad, what did you major in
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again in undergrad? I did biochemical sciences. They called it at Harvard instead of biochemistry.
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They had to do everything different and they didn't call it a major either. It was a concentration.
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So I concentrated in biochemical sciences. So there you go. But I had a lot of other interests. All my
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friends were physicists, theoretical physicists, in fact. And so I was exposed to some pretty unusual
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stuff for a biochemist. And were they allowed to call it theoretical physics at Harvard?
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They were. Okay. That's good. I just want to... Good question. Yes. They were allowed to name it
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that. Good, good. So at what point during your biological science concentration did you know you
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wanted to go into medicine? It was pretty early because I was interested in the brain early on and I
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wanted to understand the brain at the level of cells. But I was also interested in the most high
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level aspects of brain function. And so I thought I needed to talk to human beings. I needed some
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access to the human brain. I found that interesting because I was interested in emotion and the ability
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to express feelings through words. And I had this... I was torn. I liked writing and literature and the use
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words. And I liked cells and biology. And I wanted to somehow fuse them. And it seemed that medical
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school was the way to go because I could work with the human brain. Obviously, you could have just gone
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to medical school, but you also selected into this very, very advanced program that was incredibly
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selective, the MST program, the medical science training program. And so that tells me at the outset
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that you also knew you wanted to do research beyond, quote unquote, just clinical medicine. Yes?
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Yeah, that's right. And the nice thing about the MSTP is it lets you delay making a commitment.
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So you keep both threads alive. And then there's a beautiful synergy that can happen too. And certainly
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happened with me that you realize, oh, wait, I don't have to make this decision. It actually is good
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to keep both threads alive in my work and in my life. And that's what happened. But it's a pretty
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special thing we have in the United States. There are efforts along these lines in Europe and other
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countries, but it's not nearly as institutionalized as it is here. It's a really special thing.
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It really is. And again, I keep saying this, but I feel like there were maybe, what, six or eight
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MSTPs per class. And I always felt like you guys had the most pressure on you, right? There was this
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expectation from both the clinical side that you would go on to be great doctors. But then you were also,
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especially at places like Stanford, where you had the opportunity to do your PhDs with
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Nobel laureates, would-be Nobel laureates, exceptional scientists that you would also
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basically be leading the charge scientifically. And for what it's worth, all of my friends in the
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MSTP program, I think you're the only one that ended up doing clinical training as well. I think most
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of them didn't end up doing residencies. They either went purely into academic research tracks or
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actually went into industry. But before we get into the fact that you also did clinical
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training, let's talk a little bit about that transition. You came into medical school pretty
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That was the goal because, again, how do you get access to the human brain and who among the
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different clinical specialties has that access? Who can, would most directly interact, study? And it
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seemed to me the neurosurgeons had it all. And if one were to build an interface with the brain,
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if one wanted to both communicate with a person as they were expressing feelings and emotions and
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to understand at the level of cells what was going on, who could do that but a neurosurgeon was my
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reasoning. And I, the neurosurgeons that my colleagues and friends, they're amazing people,
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brilliant, and I saw no reason not to pursue that. And so that was the first rotation that I
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selected in those second two years of medical school. Even before surgery, I did neurosurgery,
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which was kind of interesting, just coming in there with no general surgical training as well. That's
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how certain I was. Yeah, it's funny. Well, I had a similar experience, whereas the thing I
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absolutely positively thought I was going to do, I picked as my first rotation. In my case,
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I had less of a pleasant experience than you. I think you had a pleasant experience on neurosurgery.
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It wasn't that in any way you didn't like it, but what was your first? I planned to do pediatric
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oncology. So I went out of the gates with two months of pediatrics, which actually I didn't enjoy
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largely because I just didn't feel like I didn't fit in. I think so much of your medical school
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experience in terms of your clinical rotations is a function of how well do you fit in with the
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residents of that specialty. And I didn't feel like I fit in with the pediatricians. They didn't,
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laugh at my jokes. They thought I was probably a little too obnoxious. I probably spent too much
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time imitating Dr. Evil and Fat Bastard, pretending to eat the babies, but it just,
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the whole thing just didn't go well. It was a disaster. And then my next rotation was general
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surgery where we connected. And even though I had no desire whatsoever to go into surgery,
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that became a kind of overnight love and away we go. But so you're doing your neurosurgery rotation,
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which again, yes, highly unusual that you would do that so early in your training. That's usually
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something one does in the fourth year, not the third year. And I'll say this, Carl, when I did
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general surgery at Hopkins, I did one month of neurosurgery as a rotation, having never been
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interested in neurosurgery. So sort of saying, well, fine, I'll do this. I didn't have a choice.
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I had to do this month of neurosurgery and I fell in love with it. I couldn't, I, and in fact,
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I spoke to the program director at Hopkins and said, would it be ridiculous for me to try to
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transfer into neurosurgery? That's how much I enjoyed it. And it turned out that he said,
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I can absolutely get you in, but it won't be at Hopkins. Hopkins is the most competitive
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neurosurgery program in the country. We only take three people. It's already full. You're not going
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to get in here, but I can get you to another program. And I actually contemplated it for about
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a month. So I can see the appeal of it. There was something about cutting open the dura and
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operating on the brain. And it's a surprisingly simple organ in that sense. Like at the gross
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level, it's surprisingly simple. Obviously much of what we're going to talk about today, Carl,
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is not at the gross level where it's anything but simple. But what was your experience like?
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I mean, it was at one level, it is an organ and it would be unfair to say that all that neurosurgeons
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get to do is think about it as an organ. They do have to think about that, the blood supply and
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whether the cells are receiving enough oxygen and glucose. And they have to think about it in the
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context of the physicality of it, perhaps more than the mentation aspect of it. And so they do get to
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think about high-level concepts. In that rotation, in that month, there was a patient who had a little
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bit of a thalamic infarct as a result of the surgery and a little bit of loss of tissue in
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the thalamus. And the patient had a neglect syndrome, which I spent a lot of time working
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with the patient afterward, characterizing exactly how this worked. I asked the patient to draw a
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clock and the patient drew just half of a clock. And it was an amazing classical thing, but amazing
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to see with your own eyes as you're talking to another person. And the person said, oh, the clock
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looks fine. But it was a half o'clock. And that certainly didn't diminish my interest in neurosurgery
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at all. It was, you know, this was at the one level, you know, there were problems which nearly
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clearly needed to be better. Aspects of neurosurgery, as with every clinical specialty,
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needed to improve, needed to reduce consequences like that. And yet at the same time, it was incredibly
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interesting as well. I loved the operating room. I loved the suturing, although I wasn't as good as you,
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too, I think. But I was good enough. And it was particularly because it was so early. I think
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the promise was there. It would have worked out. It still had a magic about it. You know, when the
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dura is exposed, yes, it's an organ, but there's a spirituality to that, to know that you're actually
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looking at the storehouse of a human being's thoughts and feelings and everything about them
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all encapsulated in this collection of cells. It's quite an amazing thing. And so I had no
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negativity at all. I did note that neurosurgeons, they didn't get a lot of free time. There was not
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a lot of philosophizing. And I noticed, you know, it's a seven-year progression. And I talked to all the
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neurosurgery residents and I noted a steady decline in willingness to philosophize as their progression
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through the residency continued. You could almost plot that literally on a graph. And with all due
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credit to them, it's the nature of the system they're in. They don't necessarily have all the
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time they would like to think deeply, although they're very bright and thoughtful and certainly
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could. And so I did note that. I noted that here are people who maybe don't have the freedom to do
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everything I would like. And that was in the back of my mind.
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Yeah. Yeah. I think back to the three people in my class. So at the entering class at Hopkins,
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three of them were neurosurgery assigned. So they did the internship with us, but then they went off
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and I mean, boy, they were three ridiculously smart guys. And you would think, well, they're in
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neurosurgery. So how interested are they going to be in their year of general surgery? But they were
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every bit the exceptional interns that the categoricals were, the ones who were going to go into general
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surgery. But one of the experiences that jumps out at me from my month of general surgery in my
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internship was an awake procedure we did on a patient. So under local anesthetic, the brain was
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opened and the patient while wide awake was being probed in an effort to determine certain symptoms
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and to see what part of the brain could be lesioned in order to ameliorate these symptoms. And I think
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for anybody to see that in real life with their own eyes, even once is it's really hard to believe
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what you're watching. First of all, the brain is not the same sensory organ. The fact that you can be
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awake while a surgeon is probing into your brain and firing an electrical impulse into one area or
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another to see how it changes this part of your visual field or this part of your, I mean, that was a
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magic that I don't think I could describe otherwise. Yeah. And that, I felt that very, very strongly.
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And so there was, it was all systems go after that. They, you know, surprisingly the neurosurgeons at
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Stanford liked me okay after that too. I got very positive feedback from them and they said, Hey,
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you know, come back and do a sub-I sub-internship and we'd love to get you down this path. That was a
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green light and I was happy with that. It was, it was where I was headed. Of course, things changed after that.
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Yeah. So the best laid plans, there's a set of mandatory rotations. We have to do neurosurgery,
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not being one of them, but pediatrics, general surgery, internal medicine being the OBGYN. And
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one of them is psychiatry, kind of this afterthought for the medical student, right? Very few people want
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to go into psychiatry. And yet amazingly, two of the smartest people in my med school class,
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you and Paul Conte end up picking this field ultimately. Just amazing, right? So tell me
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about how did you go into your psychiatry rotation? Were you looking forward to this or did you view
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it the way many of us did, which was just get me through it?
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I had a get me through it attitude coming in. And again, no, no disrespect to psychiatry. Of course,
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they have a hard challenge. Still, we have this challenge that there's not a,
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a measurable really, you know, we have effectively questions we ask patients. It's all with words is
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how we work. No biomarker. No biomarker still. Yeah. I mean, there's efforts along those lines,
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looking at EEG, you know, ratios of this to that. And there's progress being made, but still
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clinically, you can't make diagnoses based on measuring something about the brain and psychiatry.
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You can notice that there's something else going on, a neurological or a medical problem,
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but you can't define someone's psychiatric state with, with some biomarker. And that still,
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amazingly to this day, still true. Yeah. So tell me about your psych rotation,
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because I remember we kind of had choices. I did an entirely outpatient month,
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which I ended up finding quite enjoyable. That's the irony of these things. You kind of,
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I did it as one of my last rotations prior to graduation, which meant there was no chance,
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even if I'd liked it, I, it was too late for me to make that choice. I had already matched,
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I think in general surgery, but it was an outpatient month. So relatively low acuity,
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but interesting. Nevertheless, what was your month? Like mine was the opposite of that. It was,
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and this was probably a fortunate thing for me. It was in the locked unit at the VA,
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at the Veterans Administration Hospital. And this was a unit where patients can't leave. And this is
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due to being a danger to themselves or a danger to others or having a grave disability. And these
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patients were severely ill. And I, I walked into that. I'd had typical experiences. Everybody,
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you know, has friends or family who've had depression or anxiety. I, I'd seen substance
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abuse and intoxicated states and dementia. And, and, and I had a fairly, I thought decently
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broad understanding of, of what can go wrong on the, on the psychiatric side, but I can tell you
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nothing. And you, you know this by now, but I can tell your, your viewers and listeners, there is
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nothing like what you can see when you walk into the, the locked ward of a, of a psychiatric hospital.
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There's a, a sort of a, a purity, not in a good way, but there's a, because there's not confounding
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issues like intoxication and so on, there's a consistency and a purity to the disorders. And so
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if you have someone with acute schizophrenia or schizoaffective disorder, other things that might
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confound what's going on have been removed. And there's this very strong, acute, straightforward
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expression of the symptoms. That's just a mind boggling to see if you haven't experienced it
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before. And that was my experience and it completely changed my course. There was a, even on the, you know,
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my very first day, there was a patient with schizoaffective disorder, which is a very severe
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combination of mood and psychotic symptoms that are all mixed up together. And this patient accosted
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me in the, in the locked unit, started screaming at me and, but it was not necessarily sort of a street
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encounter that you might have in a, in a city. It was more direct and personal and evocative of something
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going on in the mind of the patient that was clearly a source of immense suffering of great
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disability. And yet at the same time, it was, it was tantalizing because this was a human being who
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was physically intact, but whose reality was so completely different from mine. We were two people
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with intact bodies and brains who were next to each other and we inhabited completely different
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realities. And to experience that was a utterly transformative moment. And, and both seeing the,
00:22:10.320
the suffering and realizing I have no idea what's going on here, but it's incredibly interesting
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too. How is this possible? How could this be happening to a human being? And without that direct
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exposure, I don't know what would have happened, but having had it, it changed my course.
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It's interesting. I mean, many people when confronted with that would be quite frightened,
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especially when you realize the limitations of the tools that you have, right? So let's consider it
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another analogy, which is a patient that comes in with a gunshot wound to the chest.
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That's an incredibly frightening experience. There's literally a sucking chest wound. Blood could
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be splaying around the room. Vital signs are crashing. The person's on the verge of death,
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but that can be exciting in a way because we actually have the tools to do something, right? It might be
00:23:01.960
completely draconian. We might be doing a thoracotomy in the ER cross clamping the aorta,
00:23:06.960
but you run that patient to the OR and you know how to fix them. You're experiencing something that I
00:23:12.280
would argue is much more frightening, but compounded by the fact that what do you do? I mean, you could
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temporarily give that person Haldol and sort of snow them, but that's not curing them. So was it more
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the, we don't have the tools here. This is an unbelievable opportunity to learn or how did
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that experience, which I think for many people could have been off-putting do the exact opposite
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in you? It's a great question because I, and I would completely understand that the normal or typical
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reaction would be sort of an aversive thing. You know, how this is, this is not something I want to
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spend my life doing in this setting. But I had a, I had a different reaction, which surprised me.
00:23:55.120
So there were two sides to it. One was exactly what you're saying. The level of mystery here was
00:24:02.220
actually for me, it was a positive rather than an aversive thing. And maybe this was partly the,
00:24:08.120
my scientific training, you know, at that point I'd completed my, my PhD and, and I'd spent years
00:24:13.880
trying to figure things out. And we all want to figure things out. That's a natural human impulse.
00:24:19.120
Not everybody necessarily spends years and years and years trying to figure out the same thing. And
00:24:24.160
that's, that's the kind of training we get in, in the PhD program. And I saw that and I was like,
00:24:29.480
okay, got to figure this out. This is clearly a mystery that is something that it's a burden
00:24:36.280
that humanity shares. It's a terrible burden that this human being is suffering, but what's the
00:24:44.460
solution? We've got to figure it out. We've got to understand this. And, and it's a mystery that
00:24:48.600
strikes to the heart of what had always intrigued me, which is what is an emotion physically? What is
00:24:54.820
a feeling physically? How does the collection of cells in our brains, and that's what it is,
00:25:00.860
it's a collection of cells. How is it possible that that creates a feeling and emotion? And I realized
00:25:06.760
at that moment, this is, this is actually why I came to medical school. And it all made sense in,
00:25:14.380
in one moment that hadn't before. And then, you know, of course, as a physician, as you well know,
00:25:19.540
we, our instinct is to help is to heal. And we want to do that. But as you say, if we don't have
00:25:24.320
the tools, what can we do? It's a problem. And I wasn't frustrated with the inability to do anything.
00:25:31.780
And I would understand that reaction too. And the fact is we, we could do a little bit though.
00:25:38.220
So it wasn't quite nothing. And there are medications back then and still that help somewhat.
00:25:44.400
They don't come with understanding. They don't help us explain to the patient or the family or to
00:25:50.600
ourselves what's really going on, but they do help a little bit. And so I was, I knew that I could do
00:25:56.800
something, not much, but a little bit. And as time went on, hopefully, and as the science progressed,
00:26:02.920
maybe we could do more. And so that, it fit together in a moment. And I didn't have another
00:26:10.040
thought for neurosurgery after that, although it was, it was a hard process to reshape what my
00:26:19.060
trajectory was going to be. I had one set of plans. My friends and family had a set of expectations.
00:26:26.860
I can tell you, I think my, my father was pretty disappointed when I told him on the phone that I
00:26:31.840
was going to do psychiatry. I could hear it in his voice. It was, it was almost, uh, you know,
00:26:37.440
again, he, he came around in the end too. And, and I think he's happy now, but at the time I could
00:26:42.660
sense that this was not what he'd, he'd hoped for me. So yeah, it was, it was an adjustment. It was a
00:26:47.620
remapping, but it was a very compelling experience that the process of medical training and the
00:26:57.380
So Carl, you, you now make this decision to completely veer into this nearly orthogonal
00:27:03.120
track. I mean, psychiatry and neurosurgery of course have one thing in common, which is the
00:27:07.760
organ of interest is the brain. But at that point they basically differ. How did you decide you were
00:27:14.840
going to both pursue the clinical training, the residency for psychiatry, but also do whatever was
00:27:23.380
necessary to make sure that you could ultimately be running a lab? Because I, I think throughout this
00:27:28.660
period, you never lost sight unless I'm misremembering of the desire to be a physician
00:27:34.320
scientist and not just a physician. So residency, especially 20 years ago, when we did our residencies,
00:27:40.960
they didn't have 80 hour work week requirements and things like that. So residencies were quite
00:27:44.740
demanding. Was it a little hard for you to say, Hey, I'm going to actually have to put my research
00:27:49.380
on hold for a little while. It was hard. And there are a lot of challenges that people in this realm
00:27:56.220
face because things move so quickly in the research realm that if you step aside for even a year,
00:28:04.860
forget about four years, the world you reenter is so different and it's very hard to catch up.
00:28:09.600
And, you know, that's to some extent an old problem because that's been faced by everybody
00:28:15.420
who planned to do a residency, but it's not negligible because it's an old problem. It's that
00:28:23.020
issue exactly that ends up driving people to make this hard choice that you mentioned earlier and
00:28:28.600
saying, you know, in the end, I'm going to have to do one or the other. If I do the residency,
00:28:33.460
I'll be a doctor. I'll be a good doctor, maybe a great doctor. I'll be informed by all my scientific
00:28:40.360
training. Maybe I'll read papers better. Maybe I'll be more amenable to new ideas, new treatments
00:28:45.800
as a result of that. But ultimately I'll be a physician or on the other side saying, you know,
00:28:52.580
I'm not going to do the residency. I'm not going to drop off this fast moving train. I'm at this
00:28:58.480
moment, I've just finished my PhD. I'm a world expert in this. I can do things that nobody
00:29:03.440
else can do. Why lose that momentum? Why not speed up, add the next tool in the tool belt,
00:29:10.940
launch yourself and make great discoveries. And that is very, very tempting. I had very clear
00:29:18.540
opportunities to do that. And so that's the hard choice that the MD-PhD faces at that moment.
00:29:25.120
Now, efforts are made to ameliorate that. So residencies, again, this was the time still where
00:29:30.600
the residencies were extremely difficult. And I had some, for me, this was compounded by some
00:29:36.100
personal challenges. I was effectively a single dad at the time. And so I had to also think about
00:29:41.440
this other factor, very important. Now I've got to think about residency. I've got to think about lab.
00:29:47.660
I've got to think about family. And it was very, very challenging. And yet there are these research
00:29:54.580
track residencies and they help a little bit. So there are, and Stanford and other programs,
00:30:00.380
both in psychiatry and in other specialties, they have efforts to help people keep their scientific
00:30:06.040
mind alive during residency. And it's not great, but it's a little bit of protected time here and
00:30:11.300
there. Never quite enough to get momentum, but at least to keep a foot in the lab and try to stay
00:30:16.780
connected. And so I did that. It was a research track, psychiatry residency. And I stayed at Stanford.
00:30:23.360
And a big factor in that was that literally at the same time, and I was very fortunate in this regard,
00:30:30.440
a guy named Rob Malenka, who was a psychiatrist and a great neuroscientist, was at that moment
00:30:36.620
coming from UCSF to Stanford. He had come and was setting up his lab at Stanford. And I knew here's
00:30:44.160
somebody, a psychiatrist, but also a neuroscientist. He'll understand what's going on in my residency,
00:30:51.140
that I'm, you know, I'm taking call. I'm up all night. He'll understand why I'm never in the lab
00:30:57.700
during expected hours, why I'm never at lab meeting. And that made it work out. And I worked nights and
00:31:04.180
weekends. I maybe came to one of his lab meetings over four years, and I effectively did a combined
00:31:11.000
postdoctoral fellowship and psychiatry residency at the same time at Stanford. Some funny stories,
00:31:16.260
because Stanford's very compact, as you know, I could literally take call from the lab. I'd be
00:31:23.260
patch clamping. I'd be at the rig, you know, listening in, making measurements on currents
00:31:27.920
flying across a single cell. And I'd get paged, go walk over to the ER, admit a patient, come back,
00:31:34.880
patch clamp the next cell. And it was a pretty special moment when that happened. It felt like
00:31:40.240
the different parts of my life, they could work together. They could be compatible. And that so
00:31:44.940
many people have such a hard time, understandably, making that work, making the pieces fit together.
00:31:49.800
And I feel fortunate that I was able to make that work. Now, what year was your son born? 98?
00:31:58.860
So you're four, he is five years old, basically, when you're in the midst of this.
00:32:06.000
This is actually something that I touch on. I don't know, we may talk about the book I wrote,
00:32:11.420
Projections Later, but it turned out to be a theme early in my life, how my experiences with my son,
00:32:18.460
how they related to all the stressors and the patient experiences that I was having. And
00:32:24.040
in a way, psychologically, although it was difficult to make everything work, practically, it also,
00:32:30.520
it helped me a little bit to have something that mattered more than anything else in the lab or
00:32:37.860
in the clinic. There was something that was on a different scale. And it helped me not get too
00:32:45.920
stressed about things happening in the lab or the clinic. And that's a common feeling in people with
00:32:52.220
kids. For me, it was extremely important at that time. There were patchwork solutions of childcare and
00:32:58.680
so on that made things work. But it was ultimately, I think it was helpful for me in getting through
00:33:02.820
those times. And by the way, he is now an MSTP student at Baylor. So he's doing his MD, PhD in Texas,
00:33:10.560
and he's now second year. He's a cool kid. He's good at guitar, much better than I am. And he likes
00:33:20.080
Yeah, he's got some big shoes to fill, but I and I'm positive that none of that pressure comes from you.
00:33:24.540
So no, I remember when you were finishing your residency. I just remember because of our common
00:33:32.620
friends, how exciting it was when you were now setting up your own lab. So we're talking about
00:33:39.500
what? Oh, five, oh, six ish. Yeah, the lab started to get set up in oh, four. Okay. And then it really
00:33:44.980
hit full steam between oh, six and oh, nine. But oh, four was when we were setting up.
00:33:50.360
So as you're embarking on this, what is it that you experienced during that transformation of
00:33:58.020
your clinical training, your residency? How did that shape the problems you were interested in
00:34:04.140
solving? Well, I, having just completed my psychiatry residency, I had a pretty deep understanding of
00:34:11.080
where things were clinically. I knew what, not just the medications we had, but also the brain
00:34:17.160
stimulation treatments, the interventions that we had available at the time. I did electroconvulsive
00:34:23.080
therapy, which is very effective for treatment resistant depression. It's the treatment of choice
00:34:29.180
for many people. It's incredibly effective. It's stunning to see. It has some problems. You don't want
00:34:35.580
to give it too much and there can be side effects, but it's incredibly effective. What's the durability
00:34:39.940
of it? It depends. Some patients need what we call maintenance electroconvulsive therapy. So after
00:34:46.360
three months or so, the effect will be diminished and they'll require to stay alive effectively
00:34:52.220
patients who are, for example, just acutely suicidal and they'll need every three months or so what we
00:34:59.040
call maintenance or continuation electroconvulsive therapy or ECT. So it's not a permanent fix like
00:35:05.820
so much of medicine and so much of psychiatry. It's something that moves things back into a healthy range
00:35:12.360
for a time, but we didn't know how it was working. It definitely helped, but it was, for a scientist,
00:35:17.860
it was very, it was satisfying to help the patient to take somebody who was in just horrific
00:35:24.720
psychological distress and put them into a state where they could go back and do their work and
00:35:29.720
live with their friends and family and be happy for some time. That was great, but we had no idea
00:35:34.620
and still don't, what was going on there. Why is this seizure that we give the patient? And it's done in a
00:35:40.580
pretty refined way these days. The patient's body is paralyzed, so there's no physical seizure. It's
00:35:46.420
all happening in the brain and it's a safe procedure, but still it's not specific, right?
00:35:51.820
You're causing a general pattern of activity through the brain of the patient and this astonishing
00:35:57.840
psychiatric effect is created. Clearly it was a mystery, still is, and I was unsatisfied by that.
00:36:06.940
There were early efforts at the time of other brain stimulation treatments. There was a vagus nerve
00:36:12.380
stimulation. There's a, as you know, there are the nerves that run, 10th cranial nerve that comes from
00:36:17.520
the brainstem and goes down to innervate the heart and the abdomen also sends fibers back to the brain
00:36:23.880
and you can put a little cuff around the nerve and stimulate the brain through the neck, which is
00:36:28.680
kind of interesting, a little highway to the brain. But the effects, although it became approved,
00:36:34.060
FDA approved for depression, the effects were very small on the population level, very inconsistent.
00:36:39.120
Likewise, we had transcranial magnetic stimulation, which was in its early days then as well, which was
00:36:44.520
a treatment where you can non-invasively stimulate a tiny patch of the brain by putting a rapidly
00:36:50.260
changing magnetic field near the scalp of the patient. Effects, small on the population level,
00:36:56.720
did get FDA approved, but still not fully understood. So all these treatments, and of course,
00:37:01.960
none of the medications to this day do we fully understand their mechanisms of action. So there's
00:37:06.000
a lot of mystery. And so I came from my psychiatry residency fully aware that essentially the entire
00:37:13.960
field was unmoored from scientific understanding. No fault of the practitioners, no discredit to them.
00:37:21.960
It was just not known and we didn't have the tools and techniques. We had no specific way of causing
00:37:26.880
something to happen to a particular kind of cell. All these treatments are non-specific. A seizure
00:37:33.300
all through the brain. A stimulation of a nerve, wherever that nerve may go, known, but not
00:37:40.160
specifically related to any psychiatric symptom. Transcranial magnetic stimulation, yeah, you can
00:37:46.960
stimulate a little patch of the brain, but we don't know where depression comes from, where anxiety
00:37:53.380
comes from. Is it this patch or that patch or that patch? No deep level of understanding was present.
00:37:59.020
And of course, the medications act all through the brain without cell type specificity. That was the
00:38:04.220
setting. And then to answer your question then is, you know, clearly basic science, you know, how could
00:38:10.340
you build an approach to give you some kind of precise causality? And that was the context.
00:38:16.380
Well, I want to dive really deep into this because it is essentially the skyscraper of your life. I mean,
00:38:22.900
look, if you, if you retired tomorrow for medicine and science, Carl, if you just tomorrow decided you
00:38:28.920
were going to go surfing for the rest of your life, you would have already accomplished more
00:38:33.400
than that of a hundred scientists. So I want to, I want to come to this in detail, but before I do,
00:38:39.640
I want the viewers and the listeners to get a little bit more of an understanding of the brain
00:38:45.180
structure, because we're going to be talking about structures of the brain. We're going to be
00:38:49.560
talking about the cells of the brain. And I wonder what the easiest way to do this is. Maybe we can
00:38:55.700
start about the brain and it's three layers and what, you know, we talk about them through our
00:39:01.300
evolution maybe, and how each one added to the next, but, but each one has a subset of functions.
00:39:06.880
I'll really defer to you, Carl, this is your domain and not mine, but maybe we just take a step back
00:39:12.120
and really give people a sense of, of some neuroanatomy, some neurophysiology, what neurons are,
00:39:18.040
what axons are, how chemicals get transmitted. I think investing some time in this now will really
00:39:24.180
enable people to understand the depth and breadth of your literally world-changing discovery.
00:39:31.480
Well, well, thank you for the, first of all, the gracious comments. I, we have a long way to go
00:39:35.840
though, and I'm not, and maybe it's many lifetimes ahead. There are very deep mysteries in the brain
00:39:40.660
that we have much, much work to do, exciting, fun work, but much work to do to get to where we want
00:39:46.320
to be. But, uh, it is a, an exciting moment and what we've been able to accomplish has, has been
00:39:51.840
thrilling. And it's a testament to all the amazing people that we've been able to, to get together to
00:39:57.020
work on this. And indeed the brain is, is something, it's very compelling. It's so interesting and
00:40:04.420
mysterious. The cells in the brain are more complex structurally than any other cell. They're in our
00:40:12.220
brains. There are approximately 90 billion neurons. That's with a B. Each one of them is, it's a
00:40:19.920
self-contained unit. It's covered by a membrane, but it can generate electricity. It's got little
00:40:26.940
channels, little pores in its surface that can generate little electrical impulses. And that's how
00:40:33.040
you can have a single neuron that projects from one part of the brain to another, or from one part of
00:40:38.360
the brain to the spinal cord, or it can send connections through its axon, its outgoing wire
00:40:44.560
effectively to many parts of the brain. And it sends that information in the form of electricity down
00:40:50.380
its axon, down its outgoing connection. And the connections are received by the downstream cells
00:40:57.280
through little structures called dendrites. And the interface from one cell to the next is called a
00:41:03.600
synapse. And in most cases, information gets across that little gap from one cell to another
00:41:08.420
in the form of chemicals. So the electricity triggers release of a chemical. The chemical
00:41:13.300
drifts across this tiny little gap that's some tens of nanometers. And then it acts on receptors in the
00:41:20.680
other side, the post-synaptic side. And that creates a new burst of electricity in that downstream cell.
00:41:26.860
So that's the electrochemical process of information flow. Now you've got this going on in 90 billion
00:41:32.740
neurons at the same time. Maybe they form 10,000 or even 100,000 synapses each. Their wiring is
00:41:39.920
incredibly complex. There's some structure to it. There are collections of axons that may travel
00:41:46.020
together, but then they also bifurcate and separate in incredibly complex ways. And all that's in the
00:41:52.560
brain. And then there's some structure to it, as you alluded to. And one way we can think about this
00:41:57.720
is indeed evolutionarily. We're vertebrates, okay? That means we have a backbone and we've got a
00:42:03.400
certain organization to our brain. In my lab, we have fish and we have mice and we have rats. And then
00:42:09.140
I also do clinical work. These are all vertebrates from fish to us. We all have the basic vertebrate
00:42:15.160
body plan and brain plan. But evolution has given us, obviously we have much bigger brains than fish do.
00:42:21.400
And a couple things have happened over the course of hundreds of millions of years is that, first of
00:42:27.380
all, we've scaled everything up. We've taken the same structures. We've added many more cells to them
00:42:32.340
and that lets us do more complex things. And we've also added new things on top. And so in the surface
00:42:38.120
of the brain, there's what we call the cortex, which means literally the surface of the brain.
00:42:43.960
It's like the rind of a melon, except in human beings, it's quite thin. It's just a few millimeters
00:42:49.480
thick. And within that few millimeters, there are six separate layers within that cortex or rind.
00:42:56.060
And those are layers of cells. So there are six layers of cells in this sort of
00:43:01.160
shawl or rind covering the brain. And then all the wiring coming out from that cortex goes to deep
00:43:08.300
structures. And our cortex is much more advanced. The fish don't really have something like that,
00:43:14.280
but they've got the deeper structures. They've got the interchanges and the movement control
00:43:19.420
and the arousal systems and the sleep systems. And there are structures deep in the brain like
00:43:25.620
the hypothalamus that govern all the primary needs of salt balance and avoiding danger and mating and
00:43:34.040
sleeping, thermoregulation. These deep structures are common to every vertebrate. We have a hypothalamus.
00:43:40.480
The fish has a hypothalamus. These deep structures are shared and ancestral among all vertebrates.
00:43:45.180
And so you've got these deeper structures that are conserved and ancient. In us, we've got the
00:43:49.980
surface structure that is incredibly elaborated in our lineage and is responsible for some of the
00:43:56.320
most complex and mysterious things we do. But the great thing is, and mice sort of sit somewhere in
00:44:01.580
between. They have the cortex that we have, and it's amazingly similar. It's got the same six layers.
00:44:07.420
It's got the same kinds of neurons that are connected in the same way. It's just much smaller than what we
00:44:12.200
have. And so by looking at the fish and the mice and ourselves, we can piece together a lot by studying
00:44:20.540
the cells and the connections that make things happen. And that's the context that we come to as
00:44:27.020
a neuroscientist. And what about this first layer, the brainstem, this kind of most primordial layer that
00:44:33.300
handles so many of these functions when we're not even thinking about it, like breathing? I mean,
00:44:38.040
how conserved is that across all of these models?
00:44:42.200
Yeah, the brainstem is highly, highly conserved. In the brainstem and in the midbrain, we have
00:44:48.100
clusters of neurons like the dopamine neurons and the serotonin neurons and the noradrenaline or
00:44:56.720
norepinephrine neurons. They're all clustered there in the brainstem in and around other cells that govern
00:45:04.380
the movement of the muscles of the face and the neck that send information down like the vagus nerve
00:45:13.280
that we talked about, send information down to the rest of the body. These basic structures in the
00:45:17.740
brainstem are highly conserved. Fish and mice and human beings all have them. There's a little bit of
00:45:23.600
different shaping and arrangement, but it's basically the same logic.
00:45:28.040
Are there neurons, the way you describe it, it sounds like a neuron might have mostly just
00:45:34.100
serotonin. So when that neuron fires at the end of its synapse, serotonin is the only chemical that
00:45:41.020
comes out. Is that the case for neurons that each one only can emit one neurochemical, so it's a largely
00:45:46.660
binary signal? Or are there any neurons that can secrete more than one neurotransmitter?
00:45:52.960
A relatively recent understanding has been that there are multiple neurotransmitters that can be
00:45:58.960
released by the same neuron. We still refer, for example, to the dopamine neurons as dopamine neurons
00:46:04.800
because that's what makes them special. That's what they can do that other neurons can't do.
00:46:09.660
But what we've discovered recently, what the field has discovered recently, is that dopamine neurons,
00:46:14.700
some of them also release another neurotransmitter called glutamate, which is an excitatory
00:46:20.880
neurotransmitter. It stimulates the downstream cells. Other dopamine neurons can release a
00:46:26.320
different one called GABA, which is an inhibitory neurotransmitter. It shuts down the cell that's
00:46:31.660
receiving the signal. So there's actually a great deal of complexity, and that's not all. There are
00:46:36.360
also other things that can be released at the same time, things we call neuropeptides. And there's a lot
00:46:41.700
of complexity on the other side of the synapse too. Different cells have different receptors for the
00:46:47.880
different chemicals that can do totally different things. You can have a receptor for glutamate
00:46:52.960
that makes excitation happen, or you can have another receptor for glutamate that doesn't do that,
00:46:59.440
but makes a longer pattern of modulation happen that's not even a direct excitation. So that's just
00:47:06.180
a flavor of the complexity. But broadly speaking, you'll see us still refer to things like dopamine
00:47:11.880
and serotonin neurons, because that's the first level of complexity. Prior to the work that we're
00:47:17.600
going to get into here, what tools existed to really try to establish causality between the stimulation of
00:47:29.160
one region of the brain and some sort of response, be it a phenotype or an impulse, or was there ever any
00:47:39.960
way to imagine how one part of the hypothalamus was responsible for a type of thought or emotion? I
00:47:47.900
mean, how was that probed? This was a big challenge that neuroscience faced, which is finding out what
00:47:54.680
actually matters for function. And what we did have, we had ways of listening in, we had ways of putting
00:48:01.880
in electrodes to listen, to pick up electrical patterns of activity. You can put an electrode in
00:48:07.280
the cortex or in the hypothalamus or in the brainstem, and you can pick up the chatter of neurons as these
00:48:13.400
little electrical impulses go by. And you could use the same electrode. You could also stimulate. You
00:48:18.560
could send current in through this wire effectively that you've placed. And yeah, that has an effect.
00:48:24.920
And so you can make things happen by just sending current into the brain. And at some level,
00:48:31.400
though, this is just a scaled down version of the electroconvulsive therapy we talked about,
00:48:35.700
which is also just current being put into the brain, it causes things to happen. But there's no
00:48:41.040
cell specificity. Every single neuron in the brain is electrical. And all parts of every neuron are
00:48:49.400
electrical, not just the cell body itself that has the DNA in it, but also every part of the axon,
00:48:56.860
every part of the dendrite, all electrical. And so if you send in current to a spot in the brain,
00:49:02.340
even with a tiny electrode, you're affecting every single cell near the electrode. And not just that,
00:49:09.520
every little bit of wiring that happens to be going through there. So there's no cell type
00:49:15.480
specificity because every cell is electrical. And that's still though, there's work you can do.
00:49:20.680
And so you could stimulate a region of the brain and see if that causes something to happen in the
00:49:26.600
animal. And there was a great deal of really foundational work in neuroscience going around
00:49:31.700
stimulating different parts of the brain. It was discovered that if you put an electrode in the
00:49:37.260
parts of the brain where dopamine neurons live and where the axons come out, that rodents will really
00:49:43.420
work hard for that. They like that, it seems. We can infer that because they will press a lever
00:49:50.200
thousands of times a day to get a burst of electricity to the dopamine neurons. And so that
00:49:56.100
little clues like that are built up over time. But then there was always complexity. As we dove deeper
00:50:01.960
into it, we realized, wait, this is not just the dopamine neurons. In this region of the brain, there
00:50:05.720
are a lot of other cells and connections. So is it really the dopamine neurons? It's this region.
00:50:11.780
But what really are the cells? And so there was a lot of uncertainty in the field as to which cells
00:50:16.880
were actually doing what. And so we had that, but then there was not a good way to turn things off
00:50:21.700
also. And so in science, we like to add things and see what happens. And that's testing whether
00:50:29.040
something is sufficient to cause an effect. And we like doing that. That tells you something. But
00:50:34.840
then we also like to take away something of interest and we can see what is lost with that. And that's
00:50:40.500
testing the necessity of something. How much is that needed? We would have liked to turn off
00:50:45.680
cells and say, okay, now what's different in the animal and their behavior? And there was not a great
00:50:51.280
way of doing that. Crude ways, if you stimulate really hard with an electrode, you could effectively
00:50:56.800
exhaust the cells and make them not fire anymore. And that was sort of the state of the art, both
00:51:03.200
clinically and research-wise, in trying to create a local inhibition. But again, not cell type specific
00:51:09.500
at all because all the cells are electrical. And that's the kind of situation that we found ourselves
00:51:14.200
in. Not too different clinically or basic, no cell type specificity.
00:51:18.700
Do you remember where you were, what you were doing, the very first time you learned what a
00:51:28.380
So this is an interesting thread that there are these plants and small plants, in fact,
00:51:35.700
single-celled plants that make channel rhodopsins. These are single proteins that are placed in the
00:51:43.500
surface membrane of cells, but microbial cells, not in our cells, in algae, single-celled algae.
00:51:52.000
And related molecules are present in ancient forms of bacteria. These had been known to exist for
00:51:58.620
years. And this class of protein is really interesting because they're light-activated
00:52:04.240
electricity generators. These are single bits of biology, single biomolecules that do an amazing job.
00:52:12.740
They receive a photon of light, and they move charged particles, ions, across the surface of the cell.
00:52:22.180
Now, there's a huge family of these. These are called the microbial opsins, and a subfamily of them is
00:52:29.060
called the channel rhodopsins. Now, what's amazing is that these proteins were known broadly in biology,
00:52:36.340
in biochemistry, in biochemistry for decades. They'd been discovered in 1971 by Dieter Osterhelt and Walter
00:52:43.720
Stokinius, who are at UCSF. And this was part of the training of biochemists, biologists, in
00:52:52.260
Lubert Stryer's beautiful biochemistry textbook. There's a page on the bacteria rhodopsins, and that's
00:52:58.400
where I learned about it. These proteins, they have a photo cycle, it's called. They have a
00:53:04.160
choreography of movements of the protein after the photon hits that lead to an ion, a charged particle,
00:53:10.780
moving across the membrane of the cell. So this was a class of proteins that was well-known,
00:53:17.100
and it turned out that these microbial opsins turned out to be the key for optogenetics,
00:53:24.780
the technology we developed that brought this cell-type specific causality that made it possible.
00:53:31.160
So it sounds like, okay, because I also had Lubert Stryer as a professor. I have his textbook. It's
00:53:35.340
one of the few textbooks I've still kept. First of all, I don't remember that. So, I mean, like,
00:53:40.420
that might be a page in that book, but I was not paying attention during that lecture.
00:53:43.840
So it sounds to me like you knew about these even back in medical school.
00:53:49.240
When did the idea come to you that said, wait a minute, I can now genetically insert these things
00:53:59.860
into neurons and effectively put a digital switch into a single neuron? How and when did that idea
00:54:12.220
cross your mind? Yeah. So there was a coalescence of different threads that happened
00:54:17.360
that were partly plausibility threads. And if you look at this historically, anybody in theory could
00:54:25.680
have thought about this and tried this in the late eighties or all through the nineties, these genes
00:54:31.060
were known. Somebody could have put them into neurons and tried this, but it wasn't technically
00:54:36.300
plausible for many reasons. There were not until the nineties and particularly the late nineties,
00:54:40.920
there were not good ways of introducing genes into neurons. Neurons are a little bit tricky.
00:54:47.520
They're very finicky and sensitive. And I knew this because this was a theme in my PhD work and also in
00:54:53.440
my postdoc work. How can we get genes into neurons? Even in a culture, neuron preparation, it's not easy.
00:55:00.400
That was certainly part of it, part of why nobody had tried this before. But in the late nineties,
00:55:06.280
that started to change. And I did an experiment introducing genes into neurons as part of my
00:55:11.420
postdoctoral work in the Malenka lab. And so this was something I was good at. I developed the viral
00:55:17.900
tools and the ways of introducing genes in that were plausible. Tell folks a little bit about how
00:55:22.720
that works. We're obviously, these days, I think even the lay person is somewhat familiar
00:55:28.060
with genetic modifications. People have some sense of how these have even been used to help develop
00:55:33.880
vaccines and things like that. But let's start from a place, assuming people don't even really
00:55:39.160
know the difference between DNA and RNA, and just explain how you could use this thing called a
00:55:44.620
virus to do your bidding with respect to the insertion of a foreign gene.
00:55:50.200
This is by no means a minor thing. In some ways, this is the whole ball of wax, as we say,
00:55:55.700
how do you get a gene into a neuron in a specific way? So this is the technological aspect of this
00:56:01.740
in some ways is everything. And so it's definitely worth the time to talk about this.
00:56:06.420
How do you do it? Well, DNA is the instruction manual for making proteins, things like proteins,
00:56:13.140
biomolecules that have a job. Each gene is a bit of DNA. It might be a sequence of what we call
00:56:20.180
nucleotides. They have A, G, C, and T. There's four kinds of them, and they come in different sequences.
00:56:25.800
And by the order in which these nucleotides appear, that is a code. That's the genetic code
00:56:31.420
that dictates which protein will be made, a biomolecule that has a particular structure,
00:56:37.400
and a job that comes from its structure, like being in a channel or something in the surface
00:56:43.360
of a cell that receives a photon and lets charged particles go across. That's the protein.
00:56:48.460
The instructions for making it are encoded in the DNA, in the gene.
00:56:51.640
So how do you get that gene into a cell? Well, it's not so easy. These days,
00:56:57.380
particularly with the coronavirus pandemic, I think the general public is much more aware
00:57:01.840
now of how this can be done. Viruses, and there are many kinds of viruses, they are
00:57:09.160
little bits of biology that basically exist to get DNA and RNA into cells. And so they have a little bit
00:57:18.520
of this genetic code material, DNA or RNA, and they have that encased in a coating that might have
00:57:26.620
some lipids or fats and some proteins. And then that floats through liquid, floats through the air,
00:57:34.800
hits a cell, and fuses with the cell, gets the DNA or the RNA into the cell.
00:57:41.660
And then that triggers the creation of new virus particles. And then that's how the virus spreads.
00:57:49.840
So viruses are professional introducers of genetic material in the cells. They are extremely good at
00:57:55.680
that. They are evolved for that. And this DNA-RNA distinction is interesting. Some viruses work with
00:58:02.940
DNA. Some are RNA. What is RNA? This is also something that the coronavirus pandemic has brought to
00:58:09.400
the public's attention very recently. That's the step in between DNA and protein. It turns out, for various
00:58:16.820
reasons, it's useful to have an intermediate step. First, the DNA gets turned into RNA, very similar
00:58:22.380
structure, but then that gets turned into the protein. Some viruses work with DNA, some with RNA.
00:58:28.920
So this, turns out, is then very useful for the biologist, because if you want to get a gene
00:58:34.340
into a cell, and in my case, suppose you want to get a gene for making a light-activated channel,
00:58:43.200
if you want to get that into a cell, well, how do you do it? Well, you get the DNA into the cell.
00:58:46.340
And what's the best way to do that? Well, use a virus. And there are viruses that are dangerous and
00:58:53.140
lethal, but there are also safer, weaker viruses. And then there are modified versions, even of those,
00:59:00.160
that virologists have engineered to be extremely safe, to have lost the ability to propagate from
00:59:06.280
one cell to another, but can do that first step, can bring DNA into one set of cells. And then the
00:59:12.980
life cycle, if you will, stops at that point. Those are the viruses that I had experience with
00:59:18.400
from my postdoctoral work, safe, modified viruses that can be used to shuttle bits of DNA into cells.
00:59:25.600
And so that's the core technology. And again, this was a recent, relatively recent thing,
00:59:30.660
and particularly for neurons, a relatively recent thing. It was the technology for doing that was
00:59:34.900
not so clear in the past. The other thing that I want to point out is that there were many people
00:59:40.820
who were thinking about this and trying this. And we did, from my lab, publish the first paper that
00:59:46.340
used a microbial opsin to get light sensitivity. But it was, as it turned out, quite a close call.
00:59:53.880
We published a paper from my lab in 2005, and that came out in the summer of 2005.
01:00:01.500
Within six months, several other papers came out. They all were submitted right after ours was
01:00:07.100
published. And so clearly, many people had been thinking about this. They saw our paper came out
01:00:12.780
and then rushed to submit theirs. And these were big-time labs, people who were very respected and
01:00:21.420
thoughtful, including, this is something I didn't know, but the brother of my PhD advisor,
01:00:29.380
my PhD advisor was Dick Chen. His brother, Roger Chen, was a Nobel laureate for his work with green
01:00:36.040
fluorescent protein. Turned out he was also working on this as well. I talked to him at great length
01:00:42.180
about this. Of course, he did okay. He got a Nobel Prize for other work, but this was, all this was going
01:00:46.980
on before his Nobel Prize. And so he was quite, I think, frustrated that he wasn't able to get to
01:00:52.080
this moment as quickly. So it was a broad awareness in the field that technology was now available. We
01:00:58.560
could introduce genes into neurons, that these microbial opsins existed. People had wanted to get
01:01:05.300
cell type specificity for a long time with neurostimulation. Francis Crick, of DNA double helix fame,
01:01:14.180
had been calling for this sort of technology for years. In fact, in 1999, he'd even suggested that
01:01:20.520
not only did we need a way in neuroscience to control individual cells, individual cell types,
01:01:27.740
but he said maybe light would be a good way of doing it. He didn't have an idea of how to do it,
01:01:32.300
but he said, you know, light would have some good properties. It would be fast, it would be relatively
01:01:36.340
non-invasive, photons could scatter through tissue, and most neurons don't respond to light at baseline,
01:01:43.120
unlike electricity, and so it would be a way of getting great specificity. So there was this
01:01:48.220
broad awareness that this kind of thing suddenly might be possible. I have two unrelated questions,
01:01:54.080
Carl, about this. The first is, when you introduce the virus, is it one virus that can introduce the
01:02:02.160
gene to one neuron and that's it? He said there's no replication capacity of the virus. So does that mean
01:02:08.500
that the dose of the virus you give determines how many cells will pick up the channel? That's correct.
01:02:16.700
So you can give a very high concentration of viral particles, and that will mean that you get more
01:02:23.840
cells. Also, you'll get more copies per cell. You can have multiple viral particles infecting the same
01:02:30.940
cell, and that is actually very important. Another big issue with these microbial
01:02:36.340
opsins is they generate tiny currents. They're not as professional at generating huge currents as
01:02:42.500
mammalian ion channels are, which was a big reason why I think a lot of people didn't rush to this as
01:02:48.120
well. People looked at those current sizes and said, this is not going to work. Most existing methods of
01:02:53.840
introducing genes gave you maybe one to seven copy numbers of the gene, as we say, so not enough
01:03:01.180
to control a neuron. And that was a huge issue. But with the viral technologies, you could get
01:03:07.240
hundreds or more copies of the gene per cell, and you could get much bigger currents with these
01:03:13.640
microbial opsins. And so then there again, my experience with the viral tools was critical.
01:03:20.140
Just give us a sense of the current. So when you talk about a normal mammalian neuron,
01:03:24.880
how many do we measure these in picoamps, nanoamps?
01:03:33.900
A couple of ways we can look at it. So the action potential, this is this blip of electricity
01:03:38.620
that propagates down the axon of a neuron. It can be triggered by signals that are in the order of
01:03:47.140
100 to 200 picoamps. And then it becomes a voltage impulse that's about 100 millivolts,
01:03:53.860
and that propagates down the cell. So if you're in the hundreds of picoamp range, you're in business
01:04:06.360
Vastly less than that. And so a couple issues come up. So first of all, what we found is that
01:04:12.460
if you don't have a high copy number, the currents that you're generating are on the single or less
01:04:20.000
picoamp level, we haven't done, because the currents are so small, you typically don't even do the
01:04:25.840
experiment you're asking, single channel current measurements. Since then, out of scientific
01:04:32.280
curiosity, we and others have looked at the currents that are generated, and they're extraordinarily small.
01:04:37.800
We only get to the hundreds of picoamp level by probably expressing, you know, 100,000 to a million
01:04:44.220
opsins per cell. And so this was the key issue. There was many orders of magnitude, as we say,
01:04:50.900
several factors of 10 away from where we needed to be with these opsins, unless there was a way of
01:04:56.840
introducing many genes and getting very robust, safe expression.
01:05:01.220
How do you introduce the virus? So let's just say we're talking about a mouse here,
01:05:05.240
and you decide you want to test in this particular region of the pons. So a part of the brainstem,
01:05:15.700
you want to exactly get it there. How do you direct the virus to exactly the cell you want
01:05:22.820
to get this specificity? Yeah. So this is the other technological challenge that had to be faced. It was
01:05:29.020
not obvious how this would be done. Where would the specificity come from? Yes, none of the cells
01:05:36.580
respond to light. Yes, maybe we could add a gene that makes the cells respond to light. But wait,
01:05:45.660
hang on a minute. Where's the specificity going to come from? How do we get this gene only into
01:05:51.340
the cells we're interested in? Well, all right, what could you do? You could concentrate the virus
01:05:58.740
and do a very focal injection into, let's say, the pons. And so you could create a little
01:06:05.280
hotspot of virus. And then that virus would get into all the cells that are in and around that spot in
01:06:13.780
the pons. And that's good. That gives you some spatial specificity. You're now at a spot. And that
01:06:21.700
is already a big leap beyond the electrode because the electrode and the virus both so far in how I've
01:06:31.400
described them are not cell type specific. But the electrode is going to be stimulating all the
01:06:39.160
axons that happen to be going by. If you do a viral injection at one spot, viruses are not very good
01:06:46.520
at getting into axons. They're just going to get the cells, the little spherical cell bodies that live
01:06:52.140
in that region. And so right away, that gives you some specificity. You're getting less of the cross
01:06:58.420
streams of activity being stimulated. But it's not enough because even if you're just getting the cells,
01:07:04.760
the cell bodies that are there, there are many different kinds. There are the dopamine cells, but right
01:07:09.040
next to them, there are the GABA cells. And next to them are the glutamate cells. And they're all jumbled
01:07:13.660
up together. And there you're not too different from the electrode. Now if you put in light, you're
01:07:18.640
still going to be stimulating all these cells. And so what you need is a way to make the production of
01:07:26.620
the opsin cell type specific. Okay, so how are you going to do that? Well, the virus, there were many
01:07:33.080
possibilities we could think about. And this took probably, until we'd really solved optogenetics,
01:07:38.820
probably took until 2009 because this was the critical issue. How do you get a versatile,
01:07:43.840
generalizable way of targeting specific cell types? And back in 2004, 2005, there were some
01:07:50.400
possibilities that we and others could imagine. You could try to imagine engineering the virus
01:07:56.180
capsid, this coating of the virus that has proteins on it. There were theoretical ways and even possible
01:08:03.400
practical ways of engineering capsid proteins so that they would only target one kind of cell
01:08:09.640
because that kind of cell had something else on its surface. And maybe we could create some kind
01:08:14.180
of lock and key mechanism. Yeah. So just like a coronavirus, its lock and key basically works
01:08:19.360
through the ACE2 receptor. If you knew what a potential surface protein or receptor was on the
01:08:26.840
dopaminergic neuron, that could be your entry. That would have been the first thought that would
01:08:30.820
come to my naive mind. Yep. And that was plausible. It could work. It had some drawbacks, which are that
01:08:37.260
you'd have to, first of all, we didn't have that richness of understanding. It wasn't as if there
01:08:42.760
was some lookup table. Okay. Dopamine neuron has this, so then put this on the, that didn't exist
01:08:49.220
and still doesn't, honestly. So it was more just, okay, there's going to be a lot of work. Every time you
01:08:53.400
want to target a particular cell type, you're going to have to now do some deep dive into all the
01:08:58.500
proteins it expresses and also all the cells that are nearby that you don't want to target and make
01:09:03.900
sure that whatever your strategy is, it's not, it's not giving you some cross activity. And so we
01:09:09.380
initially plausible. And then as you start to think about it more, you're like, oh, this, I mean,
01:09:14.480
this is never going to be versatile, generalizable, practical, and indeed it still isn't today. So that
01:09:21.660
wasn't it. Now, another strategy is working with DNA. Each gene, each bit of DNA in chromosomes,
01:09:32.120
in genomes, has this code for the protein, but also near it, it's got another bit of DNA that's
01:09:40.760
called a promoter or an enhancer. And this is a bit of DNA that doesn't code for a protein.
01:09:48.300
What it does is it attracts what are called transcription factors, things that decide
01:09:55.700
whether that bit of DNA gets turned into RNA and then into protein. They, by changing the structure,
01:10:02.760
by changing things around the gene, they determine whether this gene is expressed at all. It could
01:10:08.780
sit there quiet and not make the RNA and the protein, or it could be active, make the RNA and
01:10:14.440
protein. Turns out that is critical because that was a path forward. We could work with
01:10:20.680
the bits of DNA near genes, promoters and enhancers. This gave us some leverage, not all of it, but some
01:10:29.980
of the leverage. And if you think about this, well, think about a dopamine neuron again. So what is a
01:10:35.300
dopamine neuron? Well, it makes dopamine and it releases dopamine. Okay, now how does it make dopamine?
01:10:39.680
Well, it's got its own biomolecules that make dopamine. It's got enzymes that turn other precursor
01:10:47.740
chemicals into dopamine. Now those enzymes are made chiefly in dopamine neurons. And why are they only
01:10:55.460
made in dopamine neurons and not in your big toe neuron? Well, it's because-
01:11:00.580
Or more importantly, not in the serotonergic neuron right next door. I mean, that's the key insight is
01:11:05.380
you exploit the promoters that are making unique enzymes to a particular neurotransmitter.
01:11:13.440
Exactly right. And so it turns out each cell type is defined by its job, just as in many cases we are
01:11:20.340
defined by our jobs. And this is a critical thing because a professional dopamine producing cell
01:11:27.500
is going to have, by its dopamine enzyme encoding genes, it's going to have promoters or enhancers
01:11:36.360
that dictate in this cell type, this gene will be active. And so what we did was we said, okay,
01:11:41.960
let's see which of those bits of DNA, those promoters and enhancers can we borrow from,
01:11:46.960
let's say, the tyrosine hydroxylase gene. This is a gene that helps make dopamine. We could go take a
01:11:53.760
little bit of its promoter and we could put that in front of the channel rhodopsin gene,
01:11:58.680
package that whole thing up into virus infect cells. You could almost administer it systemically
01:12:03.380
at this point and it's going to go exactly, and this is a very elegant solution, Carl.
01:12:08.160
Yeah. And in fact, the systemic thing now in some ways is done in some settings. It's more costly
01:12:13.940
actually because you have to- You have to use a much higher load.
01:12:15.760
Yeah. And actually the focal injection gives us other advantages. So we still
01:12:20.460
actually prefer the focal injection, but you're right that specificity is now in large part taken
01:12:26.360
care of by the promoter. And so you can inject that in. The virus gets into all the cells,
01:12:31.460
the serotonergic cells and the dopaminergic cells, but the gene is only expressed and the
01:12:36.040
opsin is only made in the dopamine cells as a result of the promoter.
01:12:39.780
So I have another technical question, Carl. So let's go back to your garden variety cold causing
01:12:45.820
adenovirus. So you're out and about in the park or you're on an airplane and you happen to catch this
01:12:52.460
cold from somebody. That adenovirus is going to go and it's going to infect the epithelial cells
01:12:58.520
lining your trachea, probably get into your lung or something like that. It's going to incorporate
01:13:05.320
its genetic material into your machinery, which will then make its proteins. That's how it replicates.
01:13:10.340
And of course the immune system is very good at recognizing this because it's either going to put
01:13:16.900
soluble antibodies to antigens on the surface, or if it's done through class one and class two,
01:13:23.680
the T cell system is going to come and through antigen presentation will recognize foreign antigens
01:13:30.140
being presented on the surface of a cell. So in other words, the host cell, your cell will hold up
01:13:35.460
its little hand and say, look, I've got this little protein in me. The T cell will come and destroy
01:13:40.480
that cell. How do you prevent the immune system from standing by watching you do all of this very
01:13:49.360
elegant genetic engineering, and then just coming along and big footing you because it says, wait a
01:13:54.780
minute, that channel opsins not supposed to be here. Are you just getting lucky that it's not being
01:14:00.300
presented on the MHC class one or class two as a peptide or meaning pieces of it? Because obviously
01:14:05.680
it would be much larger than a nine to eight amino acid peptide, but. Yep. This is a great question.
01:14:11.720
This was another energy barrier to tackling the strategy. Everybody thought, and rightly so,
01:14:18.360
this is a potential concern, right? The immune system is going to attack the cells making this foreign
01:14:24.100
protein and kill them. Well, a couple of things helped us here. One is that we were working in the
01:14:30.180
brain, and as you know, the brain is what we call an immune privileged organ. The T cells and B cells
01:14:37.000
that patrol our bodies don't have free access to the brain. They're kept out, and that's a pretty
01:14:44.320
interesting situation. Why is that? A lot of interesting evolutionary speculations to that,
01:14:49.680
but it's a fact, and so they can't get in. And without that, no doubt things along the lines of what
01:14:55.940
you're saying would be relevant. And we've actually even recently explored this sort of thing. People
01:15:01.160
have been interested in peripheral, not central, peripheral optogenetics, and it works, but people
01:15:08.800
see loss of the expression and the cells expressing the opsins over time, over months, and the immune
01:15:15.460
response is certainly part of that. But in the brain, that doesn't happen. And so that's a great
01:15:20.400
question. And here we definitely leveraged the immune privilege. This was very helpful, Carl. I
01:15:25.740
think maybe for the listener, they thought, boy, these guys want to do a lot of detail here. But
01:15:29.920
I think this was really important because I think only now can we understand the magnitude of A, what
01:15:38.800
you and your team accomplished in what scientifically is considered a nanosecond. I mean, in four years that
01:15:46.800
you were able to do everything you just said, and now we're in 2009, 2010, you have the capacity to
01:15:55.600
introduce these opsins to very specific cells such that you could say two neurons, which are different,
01:16:05.640
I can put this gene into one and not the other. This is unparalleled. So you now have this capacity
01:16:14.100
to use photons to turn neurons on and off with precision that could never be achieved anatomically
01:16:26.580
So what was the first question you sought to ask using this technology from a neurobiology and
01:16:35.380
neurochemical standpoint? Yeah. We've talked about dopamine a lot. And in 2009, there was an experiment
01:16:42.640
that I and the whole field had wanted to know, which really is, is it the dopamine neurons? Is
01:16:48.880
their activity what animals are getting from this stimulation of that region? Or is it something
01:16:54.880
else, some other cell type that's nearby? Is it the gabergic or the serotonergic cells that we know
01:16:59.420
are right nearby? And in 2009, we did that experiment. So we introduced a channelrhodopsin,
01:17:06.900
an excitatory channelrhodopsin, just into the dopamine neurons of this spot in the midbrain
01:17:14.460
that's called the ventral tegmental area or VTA. It's got all these other kinds of cells, but that's
01:17:19.860
where the dopamine neurons also live. And we used a souped up form of the promoter strategy I just told
01:17:26.740
you about to get the gene into the dopamine neurons. And we asked a very simple question.
01:17:31.180
If you have a mouse and you give it a two room house to live in, it's a very simple house,
01:17:39.340
two rooms that can go back and forth from one room to the other. So kind of just like a New York
01:17:43.100
apartment. Yeah. On a good day. Yeah. Then what if you turned on the laser light, the light that
01:17:51.700
activated the channelrhodopsins on the dopamine neurons, but you did that only when the animal was in
01:17:59.880
one room and not the other room. And what we found is that if you did that, the animals preferred
01:18:06.580
to be in the room where the laser light had been applied compared to the other room, which was
01:18:16.460
equivalent in every other way. So this would be the analogy just to, sorry to interrupt, but just to
01:18:21.420
make a really crude scenario. You could have done this experiment a hundred years ago if you said,
01:18:28.500
I'm going to put sugar water in one room and not in the other, is there a preference that the animal
01:18:35.420
has for it? Presumably it would always want to go to the room with sugar water or cocaine or
01:18:39.720
something pleasurable. But yet here you were able to do that without anything other than the excitation
01:18:46.680
of a particular neuron. Exactly right. And in fact, this test, it was an old test. It's called the
01:18:52.160
conditioned place preference test. And yeah, it's a, the animal now prefers a place. And it's because of,
01:18:58.500
the conditioning is how it was done classically. Just as you're saying, you would pair something
01:19:03.740
good like cocaine or, or sugar or food or a social interaction, a mate, something like that. And you
01:19:10.140
would see later that the mouse would choose to spend time in there revealing to us by its behavior
01:19:16.500
that this thing was positive in value to it. And you can do the flip side too. You can do a negative
01:19:23.980
thing. You can make, make it feel mildly nauseous. You can give it lithium, which we give to patients
01:19:29.260
too. And one side effect you can have is mild nausea. You can give a mouse mild nausea that way,
01:19:35.620
but only in one room. And then it'll avoid that room. And that's conditioned place aversion. So the
01:19:40.440
animal can report to us the sign, if you will, the valence positive or negative of its experience by
01:19:47.540
where it chooses to spend time. And that's incredibly valuable. This harkens back to my very first,
01:19:52.960
you know, wanting to be a neurosurgeon because a human being could tell me what they were feeling.
01:19:58.640
Well, of course a human being is more eloquent, but behaviorally a mouse can report whether it's
01:20:04.640
something as a positive or negative value to it. And that test, Carl, when you're looking for the
01:20:10.240
positive valence, what's the frequency with which you would expect that to be the case? I mean,
01:20:16.300
presumably it's more than 51, 49 in favor of the dopamine firing. Just give us a sense of if you ran a
01:20:22.160
simulation of that experiment a hundred times and you always fired the dopaminergic neuron
01:20:27.360
with your opsin, how many times out of a hundred would it go to the positively valence side?
01:20:32.600
We try to keep things in, you can make this as extreme as you want. So the answer is a bit
01:20:37.700
flexible, but with typical rewards, with sugar water, with a social interaction, the number you're
01:20:44.580
looking for is sort of 70-30 or 80-20. That's kind of the level to which the mouse will prefer one
01:20:51.800
chamber versus another, one room versus another in terms of how it devotes its time. But you can
01:20:57.120
push those numbers both optogenetically using light or with stimuli up or down by making the
01:21:03.860
experience more extreme. It's quite a flexible test. And we had later versions of this. In some ways,
01:21:10.060
the animal's expressing its subjective sense, we think, by where it's choosing to spend time,
01:21:15.260
you can also make a more souped-up version of that test where the animal actually has to work
01:21:18.960
to get the light by pressing a lever or poking its nose in a little hole, a nose poke, and trigger
01:21:27.840
a pulse of light by each of its actions. So this is a slightly more advanced version where you say,
01:21:33.780
how hard will you work for light? How hard will you work for a precisely defined set of activity in
01:21:41.600
your precisely defined dopamine neurons? And if you deliver light, you can get an animal to press a
01:21:49.100
lever thousands of times a day to get that light. And so now there is no doubt that the activity of
01:21:55.860
dopamine neurons in this way is positive. And it's not just positive, it can be extremely positive.
01:22:01.900
Animals will work very, very hard to get it. It's just amazing that this could be done.
01:22:06.860
Let's keep going. I can only imagine how excited you and your colleagues were by this finding. And
01:22:13.360
of course, it probably only whets your appetite for the breadth of questions that you now want to ask.
01:22:20.660
Where was the clinical community in recognizing the value of this tool? So you have all of these
01:22:29.040
questions that have for, I think it's safe to say thousands of years been, in other words,
01:22:36.300
even before the codification of medicine as we know it today, we've always wondered things like
01:22:42.240
what regulates mood? How can two people anatomically be nearly identical and yet one be happy and one be
01:22:49.940
sad? Where do memories reside? What is a memory? What is a feeling? What is a thought?
01:22:56.740
All of these things. And yet I suspect that this experiment as simple as it was for the first time
01:23:02.880
gave you a profound sense of optimism that you now have a tool finally to ask questions. So
01:23:11.700
you're splitting your time here, right? You're still an on the ward psychiatrist. So on the one hand,
01:23:18.720
you're doing kind of the most cutting edge science in the field. And at the other end,
01:23:24.260
you're still trying to help people who are bringing these questions to your mind. How many of your
01:23:30.560
colleagues in psychiatry, not necessarily your direct colleagues at Stanford, but just, I mean,
01:23:34.580
the community more broadly, how appreciated was this tool 10 years ago?
01:23:41.100
It's actually very interesting that you ask that. The appreciation in the scientific psychiatry
01:23:48.460
realm, and these are clinicians, psychiatrists who also have some interest in the science side,
01:23:56.320
the appreciation was very quick and immediate because I think the psychiatrists know and knew
01:24:03.980
better than anyone else how much specificity was needed and wanted in their field. And,
01:24:12.040
you know, I had, this was, you know, by the time we got to 2009, the generality of that targeting
01:24:18.480
method was, was key because then people knew, okay, this wasn't just a parlor trick, a one-off,
01:24:23.840
a demonstration that you could get some kind of photosensitivity in one cell once that this was
01:24:29.700
actually a generalizable, versatile method. You could apply this principle to any cell type. It was done
01:24:36.340
freely moving mammals and mice, of course, being, having our same brain structures, our cortex, our
01:24:44.100
hypothalamus and everything in between. The significance and the opportunity was pretty clear
01:24:50.820
to everyone by 2009, particularly the psychiatrists. And so then there was a great deal of interest
01:24:57.360
and because the technique was generalizable, it was very widely adopted. And we sent the clones,
01:25:02.720
the bits of DNA to thousands of labs around the world and many thousands of discoveries were made
01:25:07.960
by other labs, which was great. After that, really showing that anybody could use it to tackle any
01:25:13.000
question, any, any disease, any symptom in diverse animals. So after 2009, it was off and running.
01:25:20.440
Between 04 and 09 though, those were hard times because we were still putting the pieces together,
01:25:26.560
solving the light delivery, solving the virus issues, getting the cell type targeting to be
01:25:31.020
generalizable and versatile. And I would say it wasn't really until 2009 that we could look at
01:25:35.740
this and say, yeah, we've done it at this point. Was this work funded by NIH?
01:25:41.200
Yeah. So early on, I had some initial trouble getting grants, but then pretty quickly,
01:25:46.840
once the opportunity became clear, both the National Institute of Mental Health and the National
01:25:53.600
Institute on Drug Abuse, two main institutes of the NIH, immediately were very supportive. And then later,
01:26:00.140
we got a great deal of support from DARPA and from the National Science Foundation. And then also from
01:26:06.680
a number of private donors, people who in many cases came through the psychiatry setting, friends or
01:26:14.140
family members who had suffered from psychiatric disease, and they had heard about what we were doing
01:26:18.700
and wanted to support it. So we ended up getting both federal and nonprofit institutions and private
01:26:25.260
donors and it all came together. But really, until we had things working in this generalizable way,
01:26:32.800
Well, it is, again, remarkable now as you sort of look back at it to think,
01:26:37.060
A, that it all worked out. I mean, there's a hundred steps at which this could have failed.
01:26:41.640
And again, I'm still amazed that it really only took four years, although I'm sure there were times in
01:26:47.880
there. It felt like it was taking forever. But I mean, as you know, you're such a historian of
01:26:53.080
science as well. I mean, it is a remarkable period of time. So let's talk about some of the other
01:26:58.240
questions that you wanted to probe with this technology. So what about any of the other
01:27:03.060
neurotransmitters or neurons in particular? Where did you turn to next?
01:27:07.420
Well, we were particularly interested, you know, hearkening back to my, what got me into psychiatry
01:27:13.760
in the first place. I wanted to understand internal states of mammals and how they can go
01:27:21.380
wrong and create symptoms. And if you work with animal subjects, with mice, for example, you have
01:27:27.980
to figure out what they can report that matters. And one thing they can report very well are these
01:27:34.880
universal things that all mammals experience, anxiety, social interaction, and caring for offspring,
01:27:42.500
for young. These are quintessential mammalian states that matter. They can go wrong. So I wanted
01:27:52.160
to study them and I wanted to study them in ways that were now precise and causal and had to do with
01:27:58.420
specific cell types. And so one of the first things we did was anxiety. And, you know, as a psychiatrist,
01:28:06.380
I specialize in patients who suffer from depression and also social difficulties, autism spectrum
01:28:16.320
disorders. And a common theme in both autism and in depression, anxiety is a big part of that.
01:28:23.980
Anxiety is not a small thing. Anxiety can be absolutely crushing to one's life, to one's interactions,
01:28:31.540
to occupation, to even being able to go out in the world. This is a very potentially severe disorder
01:28:42.100
in many people. Of course, anxiety, though, is also can exist in a normal healthy range, too. And it's
01:28:48.920
only it only becomes a psychiatric disorder when it exceeds that healthy range and verges into or in
01:28:57.300
many people, unfortunately, goes way beyond into a very pathological extreme.
01:29:01.900
How do you define that maladaptive transformation from normal anxiety, which I suppose you could even
01:29:08.740
make the case if a person was incapable of experiencing anxiety, they could probably
01:29:13.420
injure themselves and they might be socially quite destructive. So in other words, there must be some
01:29:19.040
evolutionary basis for anxiety and self-preservation. But as you point out, I can't imagine anybody
01:29:24.880
listening to this hasn't personally experienced or known somebody who has experienced anxiety that
01:29:29.820
has crossed too far. But I mean, is this something that falls into the DSM-5 where there's an actual
01:29:34.600
criteria? There must be, right? Yeah, there are. And in fact, it's the criterion for rising to the
01:29:41.140
level of disorder in the psychiatric literature and in the DSM-5 or a diagnostic and statistical manual
01:29:48.500
is that it's only a disorder if there's impairment in what we call social or occupational functioning.
01:29:56.280
So you could have any symptom in psychiatry, even a hallucination, for example. But if it's not
01:30:04.300
impairing your life, your social occupational function, we don't call it a disorder. And in fact,
01:30:10.000
I've had patients who were hallucinating, but it was in a way that was not disrupting their life. I had a blind
01:30:15.440
patient who had visual hallucinations, but he was fine with them. They weren't distressing to him.
01:30:21.380
And so we wouldn't say it's a disorder. It's just something happening. So that's the criterion we
01:30:26.480
use. And of course, it is somewhat flexible because different people have different social and
01:30:32.540
occupational situations. And this is a challenge we have in psychiatry. But maintaining that as a
01:30:37.560
criterion is very good because it ensures that we only treat things that need to be treated.
01:30:41.940
So then you think about anxiety. Well, if you can't function, if you can't leave your apartment
01:30:48.620
to go to work, well, that's impairing your occupational functioning. And so there are people
01:30:52.920
who have anxiety easily in that realm or far beyond. And those are people we want to help.
01:30:59.280
On the flip side, as you point out, there are people who have risk-taking behavior that's extreme
01:31:04.560
because they don't perceive or worry about threat. And that's also a problem. So anxiety,
01:31:10.520
we need to treat it in patients who are severely affected. And the problem is in anxiety,
01:31:16.660
there are medications that help, but they come with some problems. So the most effective
01:31:23.960
anti-anxiety medications are things that relate to Valium and Xanax and Ativan. As you know,
01:31:30.840
these are medications that work, but they can be addictive. They can cause the human being to adapt
01:31:37.620
to the dose and to make it very difficult to stop them. Do we think that they primarily work through
01:31:43.260
their GABA agonism? Yes. Primary belief. So you talked about GABA earlier. This is a relaxing,
01:31:50.540
for lack of a better word, neurotransmitter. This is a non-excitatory. That's right. That's exactly how
01:31:56.180
these act. They act, in fact, directly on the GABA receptor and they facilitate its action.
01:32:02.380
And they work. They just have some problems and not everybody can tolerate them. They cause some
01:32:07.880
cognitive slowing and sedation and so on. It's like they have some issues.
01:32:12.500
And which neurons in particular do we think that they're concentrated in their action in?
01:32:16.960
That is a great question. It's a subject of a lot of research. If we understood that
01:32:21.980
deeply, then we could make a separate intervention targeted to those cells.
01:32:28.260
The problem is that we don't yet know that exactly. We don't know exactly which cells
01:32:32.720
are the most anxiety-relevant cells that these medications are targeting. There are some hints,
01:32:40.260
but I would say not factually known yet. But you're getting to this key point where optogenetics was
01:32:45.020
helpful because then we could ask that and answer that question. We could say, okay, which cells govern
01:32:50.040
the different features of anxiety? And then what am I talking about here with different features?
01:32:56.000
Well, actually, this is kind of interesting when you think about it. So what is anxiety? Well,
01:32:59.820
it's actually got different parts to it. First of all, there's physiology. We've all been anxious. We
01:33:06.360
know heart beating faster, breathing faster. Okay, so there's physiology that changes. Then
01:33:12.760
there's also a behavioral change. When we're anxious, we avoid the risky situation. We have an impulse
01:33:21.680
to avoid. If we're anxious out in the open, we avoid going out in the open. And mice do this too.
01:33:29.740
And then finally, there's a negative quality to it. This is the negative valence. This is the
01:33:35.480
hardest part to put your finger on. This is the hardest part to put your finger on. And it's the
01:33:39.060
most mysterious and perhaps the most difficult, meaning perhaps the most difficult to experience.
01:33:44.540
It's the most difficult to experience. And it's also the most difficult to understand why we have
01:33:51.340
this. If we're already avoiding the risky situation, why does nature also have to make us feel bad? And
01:33:58.040
this is, there are some very interesting evolutionary discussions one can have about that. The fact is,
01:34:03.680
though, that's how it is. Anxiety feels bad. And that's what makes it, in many cases,
01:34:08.820
causes so much suffering in addition to the behavioral dysfunction that happens.
01:34:11.900
So actually, anxiety is complicated. It's got these different parts. And they all come on
01:34:16.040
together, all go away together. And then you've got to ask, okay, these are so different,
01:34:20.100
they're probably controlled by different cells, right? So you've got behavior, and you've got
01:34:24.580
breathing, and you've got inner subjective sense. These are all very different, probably different
01:34:29.780
cells are doing it. So then right away, you've got to ask, what are we going to target? So we thought
01:34:35.180
we need to figure out this. And so we used, in 2013, we did an optogenetics experiment that targeted
01:34:40.860
different parts of what we thought could be the anxiety pathway. And we found that indeed,
01:34:46.400
different cells control each of these different parts. There's a set of cells that control the
01:34:54.020
breathing changes. And there's another set of cells right nearby that control the behavioral changes,
01:34:59.860
avoiding risky situations. And there's yet a third set of cells that control the negative
01:35:05.620
valence, the internal state. Each cleanly controls separate feature of anxiety. And we
01:35:12.840
did this with optogenetics, introducing light sensitivity and light-triggered activity.
01:35:20.280
And then reproducing each of these completely distinct manifestations of anxiety.
01:35:26.840
Exactly, exactly. So we found we could turn up or down each feature in mice completely separately
01:35:33.300
from the others. We could have animals that, and this got so interesting philosophically. We could
01:35:38.380
make animals avoid the open area, the exposed realm that people and mice, but we don't, many people
01:35:47.020
don't like being out in exposed areas. Mice definitely don't because that's when they're going to get
01:35:50.680
eaten. We could make mice be much more avoidant of an open space with a specific cell type
01:36:00.180
optogenetic intervention. But the mice didn't care that this was happening. There was no negative
01:36:06.340
valence to it. And this was so interesting that we could create the behavioral avoidance of anxiety
01:36:13.420
without the mice... Without the negative feeling.
01:36:16.940
...having this negativity. And so that, it turns out then that behavioral states that mammals have,
01:36:22.640
they can be cleanly broken apart into these features, and we could show that with optogenetics.
01:36:30.180
papers from that period of time that was most interesting because it was, was so interesting
01:36:34.220
in that regard. And other people, Catherine Duloc, for example, at Harvard has done some great work
01:36:38.540
on parenting, another quintessential mammalian state using the same set of techniques, optogenetic
01:36:45.520
techniques that we've described. She did this in 2018. Mice are, are pretty good parents. They take care
01:36:51.040
of their young mostly. That can break down at times, but they care for their young. And Catherine Duloc's
01:36:57.340
lab did an amazing experiment. They optogenetically found that different parts of parenting could be
01:37:02.740
broken down into their sub features as well. And the two parts of parenting that were broken down in
01:37:11.060
this way are going out to find the young and bring them back to the nest. So go and get your kids and
01:37:19.000
bring them back home. And anybody who has kids knows that's a big part of being a parent. You got to
01:37:24.580
corral them, get them back to the safe spot. But that part of parenting that mice do very well. They
01:37:32.700
also care for the young. They groom them. That's an extremely important part of both human and mouse
01:37:39.460
parenting, of course, is grooming the offspring. Turns out there's a parenting controlling area, but the go
01:37:47.960
and get the kids' cells are different from the groom the kids' cells. And you can optogenetically
01:37:53.900
break them apart very cleanly and show how this parenting state is assembled from its features.
01:38:00.320
And this kind of thing has been, those are just two examples, but that kind of thing really gets to the
01:38:05.460
heart of what's so interesting about the brain is how do these complex states, how are they pieced
01:38:10.380
together from cells? Why does anxiety track so closely in people with autism? Have you been able
01:38:19.520
to glean any insights into that? And autism is something that interests me immensely. What do we
01:38:26.200
really understand about this disease? I think we know that it's got a significant genetic component.
01:38:32.020
It's not entirely clear what triggers it. And its phenotype, of course, exists on a pretty extreme
01:38:38.820
spectrum in terms of functionality, superpowers and super deficits. But what do we know about autism?
01:38:45.900
And then specifically, why is it that anxiety tracks so closely in people with it?
01:38:51.880
Autism is one of my main clinical focus areas. This is actually my clinic office here. I see patients
01:38:57.880
with autism spectrum disorders here. I know that they are hard to treat. There's not a medication
01:39:04.640
that treats autism. But as you say, a lot of them are very anxious. And that I can help with. I can
01:39:11.600
help them with their anxiety, with medications like the benzodiazepine class of medications that
01:39:18.220
we talked about. Those help the anxiety. They don't help the social problems per se, but they help with
01:39:25.380
the anxiety. And why is that? Why is anxiety such a comorbid symptom, as we say? Why does it show up so
01:39:31.480
much in autism? Well, the human social interaction world is very complicated. It's very fraught with
01:39:40.180
possibilities for misunderstanding, catastrophic errors of interpretation, embarrassment, humiliation,
01:39:50.920
confusion. We have a very social world that we've created. And people who have difficulty with
01:39:58.720
keeping up with the fast rate of social information and making sense of it, it's a very anxiety-provoking
01:40:07.020
situation. When you're talking to somebody, how do you know where to look, what to do? What part of
01:40:14.900
them do you pay attention to? Do you look at their eyes? Do you look at their mouth? Do you look at their
01:40:18.820
body movements? God forbid there's more than one person in a conversation with three people. How do you
01:40:25.240
know who to look at? How do people know what to say next? To someone on the autism spectrum, these are
01:40:31.320
extremely challenging situations because it's very hard to keep up with this high information rate of
01:40:39.180
the social interaction. And this is something in the book, Projections, that we've talked about. There's a
01:40:43.880
whole chapter, a story on autism and on how this might happen neurobiologically, how this information
01:40:52.020
overload might happen. We have patients who are as confused by social interaction and as overwhelmed
01:41:00.440
by it as you can imagine somebody not knowing the language, not knowing the customs of a culture and
01:41:06.800
being placed into it while extremely consequential things involving them were happening in real time.
01:41:14.080
And that's kind of the situation. And so you can understand anxiety being a big part of autism,
01:41:19.900
just being unable to predict what happens. And so these are patients who we can help with their
01:41:23.880
anxiety, still not yet with their autism. The genes that are linked to autism, there are many. It's a
01:41:30.640
very genetically determined disease, not completely, but heavily genetically. The problem is, like so many
01:41:38.040
of the psychiatric disorders, the genetic underpinnings, it's a patchwork. It's many different genes that all
01:41:44.920
contribute a little bit in most cases. And so with all the beautiful genetics, which has given us a lot
01:41:50.960
of insight, it hasn't led to treatments because there's not a single gene, single protein, single
01:41:57.340
cells intervene in yet. Are you optimistic that that's going to change? I mean, what does the treatment
01:42:02.060
for someone with autism look like in the coming decade? Let's keep it relatively short term.
01:42:07.520
Well, the exciting thing is optogenetics has given us a window now into what could be this sort of
01:42:15.260
10-year time scale of autism treatment. Because now, and again, mice are social. Not only do they
01:42:22.440
parent, but they're also social. They will choose to spend time with another even same-sex member of
01:42:29.960
their species compared to being alone. And they have complex interactions. They have a give and take.
01:42:39.980
They exchange information. And there's a lot of it. And if you make mutations in some of the genes that
01:42:47.240
are most powerfully related to autism that come from the human literature, you can make mice that have
01:42:54.120
impaired social interaction as well. And we've done this, and we've studied these in the laboratory,
01:42:58.880
and we've asked, can we correct the social deficit of these mice? And we can. And this is a whole thread
01:43:07.640
of work in my laboratory studying social interaction and asking which cells, which circuits in the brain
01:43:16.840
can improve social interaction, including in these autism mutation mice. And what's pretty interesting is
01:43:28.620
that if you think about social interaction, just like everything else, and the parenting example
01:43:34.560
made that clear, there are different parts to it. Part of a social interaction might be the motivation,
01:43:40.580
the drive to be social. And that could vary in people. Also, the cognition, the understanding,
01:43:47.440
the insight, that could be separate. That's another part of being social, is understanding what the
01:43:52.680
heck's going on. Probably different cells affect each of these. And indeed, we've found that. So
01:43:57.560
some, there are some dopamine neurons that do seem to increase the drive for social interaction.
01:44:03.860
But then, there are other cells in the front of the brain, where some of the most advanced,
01:44:08.800
complex cognitions happen, the frontal cortex, that may be more involved in the information
01:44:16.440
firehose that's coming through with a social interaction. How do you keep up with it? How do
01:44:21.600
you make sense of it? That may be more of the cognitive side. And so, just like everything else,
01:44:26.660
you've got to figure out what's most important. And we found those, though. We now know the cells that
01:44:31.360
can improve social interaction in these different areas. And now that we understand these cells better,
01:44:37.480
you can imagine designing medications that, for the first time, are aligned with a specific kind of
01:44:47.620
cell that's known to be important in social interaction. And that's the exciting opportunity
01:44:54.840
for the future. We're not there yet. But at least now, we have a causal cellular understanding. And that
01:45:00.680
opens so many doors. Is it your belief, Carl, that at least in the next decade or so,
01:45:06.780
optogenetics will be the tool for establishing cellular signal-wise causality, but not be the
01:45:16.520
mode of treatment? In other words, I'm sure people ask you this all the time. I certainly have a
01:45:20.740
thought on this, but I thought it's worth asking just to make sure everyone's on the same page.
01:45:25.720
Is it your belief that patients are going to be coming into your clinic with probes that you will be
01:45:31.700
lighting directly to actually change the neurotransmitters via the light? Or is it that
01:45:40.700
we'll just use that as the tool to establish where to target our treatments? Or do you think it's going
01:45:47.580
to be a combination of these? Yeah. Optogenetics, in my view, is by far the most important aspect of it
01:45:54.300
is it's a discovery and understanding tool. This helps us because this brings so much that we
01:45:59.680
didn't have before. Understanding what actually matters, what makes things happen in the brain
01:46:04.440
at the level of cells is the opportunity that optogenetics creates. And that understanding
01:46:10.580
then opens the door to every kind of treatment. Once you understand that, which cells are actually
01:46:15.300
causing and relieving symptoms, you can design medications that address those cells. You can design
01:46:21.560
brain stimulation treatments targeted to those cells or their axons as they project across the
01:46:27.940
brain. So it opens up every door in principle, providing this causal foundation. Now that said,
01:46:35.540
and so that I see is by far the future. It's the understanding that opens every treatment door.
01:46:40.120
That said, my friend and colleague, Botan Roska in Switzerland, just this year, was able to confer
01:46:46.780
a form of sight onto a blind person with optogenetics. And this was just published in
01:46:52.360
the journal Nature Medicine this year. Ten years ago, he and I had collaborated on a study where he
01:46:58.780
put one of our microbial opsins into a human retina, cadaveric, afterlife. So he had ways of keeping
01:47:07.620
the retina alive for some time in these donated retinas. And he was able to show optogenetics worked
01:47:14.680
perfectly well to control human retinal neurons. And he spent the next 10 years doing all, going
01:47:22.040
through all the hoops of going through primate studies and then clinical trials. And then just
01:47:27.900
this year, he's a vision scientist and he focused on retinal degeneration and was able to take a human
01:47:34.240
being who was blind from retinal degeneration. And he was able to create light sensitivity. So this
01:47:40.700
person could accurately reach for objects on a table that was not possible before. So literally
01:47:45.860
making a blind person see, at least to some extent, can happen. So I think there may be
01:47:52.000
cases like that. And of course, they're uplifting to see. But the biggest picture is that it's a
01:47:57.880
discovery tool. I want to pivot a minute to talk about your book, because I think it becomes a great
01:48:03.820
place for us to now talk about some of the mental illnesses that people will be familiar with,
01:48:09.600
depression, mania, and its sort of cousin bipolar disorder, eating disorders, all of these things
01:48:14.940
that you've written about so eloquently. First of all, I want to tell you that if I'm not already
01:48:20.460
in complete awe of your scientific achievements, I'm equally in awe of your writing achievements.
01:48:27.360
And I just don't think it's fair that one person can be so gifted on two dimensions, Carl. It's really
01:48:33.080
disappointing. And I hope there's something in life that you're horrible at so that I don't feel
01:48:37.860
even worse about myself. No, seriously. Your book is unbelievable. It's called Projections.
01:48:44.160
And I've read it twice. And I will encourage every listener to read it, because it will shatter some
01:48:52.320
of the images people have of scientists, because you don't write like a scientist. And I say that as
01:48:57.240
somebody who's in the process of sort of finishing up their book. And the biggest challenge I have in
01:49:02.240
writing is making it accessible to everybody, making it interesting enough that someone for whom this
01:49:09.460
is not their life wants to read it. You've done that in spades. This really reads like, at times,
01:49:16.880
poetry. I know you've always had an interest in writing. Did it require much effort and discipline
01:49:22.780
to write about such technical matters at times, but also to write about sort of the clinical conditions,
01:49:30.260
these psychiatric conditions that everybody's familiar with? It seemed effortless that you
01:49:35.760
were able to do this in such an easily accessible and artistic way. Well, first of all, thank you,
01:49:42.660
Pete. It means so much to hear that. You never really know when you take a step like this or a risk
01:49:49.080
like this, if it's really working. This was a risk. This was something that was very different. It's not
01:49:56.400
what people expected. As you say, not a typical scientific text at all, really. And the goal I
01:50:03.340
wanted though, the goal I had was to help everybody, whatever their background, I wanted to help them
01:50:09.840
understand and feel what these altered states are. And that's such a big part of the book is to work
01:50:18.420
with that feeling, to help people understand and feel for themselves what mania might be like,
01:50:24.540
or what the fragmentation of schizophrenia might be like, or the crushing pathological grief of
01:50:31.260
bereavement, or the incredibly complex states of eating disorders where you have these astonishing
01:50:39.560
behavioral patterns that seem so inexplicable compared to what you would think would be
01:50:45.820
what we were evolved to do. And so everything from these uplifting, exuberant states of mania to the
01:50:53.140
depths, I wanted people to feel this. And so I had to do this with the writing, with the words,
01:50:58.040
I wanted to do it with the writing and the words. And so in each chapter, the writing is adapted to
01:51:03.160
cause that feeling. In the mania story, the words are exuberant in the way that mania is. In the
01:51:11.460
schizophrenia or psychosis story, there's a fragmentation and a disorganization that happens.
01:51:17.980
And so in all of these cases, I had to work with words in ways that are not typical for a scientist.
01:51:25.020
But of course, I wanted to do it. This was my initial passion in life. And for me, it was incredibly
01:51:31.320
fulfilling, actually, to come back and be able to do this. I'd always wanted to do it. I had now not
01:51:38.500
just the desire, but I had a mission. I had something I wanted to tell, I wanted to share with
01:51:43.000
everybody. So for me, it was incredibly addictive, actually. I would, I did the bulk of the writing
01:51:50.120
over a couple of years from 2017 to 2019 or so, and then wrapped it up in 2020. And I looked forward
01:51:58.620
to this so much every day. I would block out a couple hours, but a different time each day,
01:52:03.420
depending on my schedule. You know, life's complex now. I've got five total kids. Things are hopping at
01:52:09.000
home. My wife, Michelle's an incredibly accomplished MD-PhD herself, also running clinical trials.
01:52:18.100
Also one of our classmates. And of course, she's in the hospital a lot. And so no day is simple or
01:52:24.240
predictable. So that the writing time would be at different times, often very late at night,
01:52:30.340
often early in the morning. I tried to block out two hours, but I would find I would look
01:52:33.560
forward to that like, like almost nothing else. And I just relish the joy of finding the right word
01:52:40.500
and spending days thinking about trying to find the right turn of phrase. And so it was, it was
01:52:46.260
incredibly uplifting, honestly, even though of course, a big challenge logistically.
01:52:52.120
One of the things I love about the book is how really try to dive into the evolutionary basis for
01:52:59.700
mental illness. This is something I'm always obsessed with. I always love trying to think
01:53:04.680
about things through an evolutionary lens. And sometimes, you know, the answers come a little
01:53:09.320
easier than others. One of the places where it comes up is in the story of Alexander. This is a
01:53:14.860
gentleman won't give away the entire story, but basically post 9-11 is triggered into what sounds
01:53:21.600
like his first manic event, correct? That's right.
01:53:24.880
Which then gets into kind of this discussion of mania. What is mania?
01:53:28.540
One of the things I found very interesting about this was the discussion about the evolutionary
01:53:34.020
basis for mania. And this is interesting to me personally, because this is a very personal
01:53:39.560
story, I guess. But when I was in residency, I was encouraged by my wife actually to see a
01:53:45.860
psychiatrist. She had some concern about some of my behaviors. And the psychiatrist, after one day,
01:53:53.240
I don't know if she was right or wrong, but she decided I was hypomanic. That was her diagnosis.
01:53:59.320
And that, of course, got me very interested in, well, why is this the case? How does she know?
01:54:04.340
Why would this be? And I began sort of examining everything I'd ever done in life. And one of the
01:54:09.940
things I came across was at the time, it was a psychiatrist at Hopkins. So this would have been
01:54:15.820
kind of 2004, 2005, had written a book suggesting that the prevalence of hypomania in North America
01:54:22.480
was higher than anywhere else in the world, because it had the highest concentration of
01:54:27.960
recent immigrants. And the argument was, well, by definition, if you have a collection of people
01:54:34.300
who are one to five generations away from people who had basically the nerve to leave a comfortable
01:54:43.120
life elsewhere, and in the case of certainly my parents and many people who came here, basically
01:54:49.140
to come to nothing. You don't know the language, you don't know the culture, you don't know the
01:54:52.040
people. It wouldn't be surprising that you could concentrate hypomania here. A, I'm curious as to
01:54:58.740
whether you have any thoughts about that theory, but perhaps more importantly, let's dive into this
01:55:03.480
evolutionary basis for mania, because the point that you get into about how there are sometimes
01:55:10.480
where traits are very valuable at the population level and not at the individual level, I found
01:55:15.880
that fascinating. Yeah. Well, first of all, that's a very interesting route into this discussion,
01:55:22.240
which is the immigrants, the recent immigrants, and the possible genetic link to have the, you know,
01:55:29.980
in recent times, to have the get up and go, to leave, to take the risks, to have the energy,
01:55:35.580
to have the motivation, to actually make it happen, to sustain it, this complex goal with so many
01:55:40.380
possible downsides. That's no small thing. Some people wouldn't want to do it, some would.
01:55:45.940
And mania, it's one of the poles of bipolar disorder, which is a very genetic, highly genetic
01:55:54.720
disorder. One of the most in psychiatry, bipolar type one disorder, extraordinarily genetically
01:56:00.900
determined. Just to be clear, Carl, does that mean that bipolar stems from bipolar or it just
01:56:07.280
clusters with other psychiatric illness? So in other words, schizophrenia or significant depression
01:56:15.940
What it means in this case is that it's, if you look at monozygotic twins, especially those that
01:56:21.160
are raised apart, that's where the most pure information comes from. You can look at the
01:56:25.460
concordance of mania or bipolar disorder appearing in each of these twins, identical twins. It's more
01:56:32.580
than 50% for bipolar type one, in fact, verging above 70%. And so you have a very strong bipolar type
01:56:40.800
one genetic determination. Out of curiosity, what is it for autism in that same setting?
01:56:45.940
Autism also high, just maybe just a touch under that. With depression, it's like 50%. And so most of
01:56:52.900
the psychiatric disorders have strong genetic links. They tend to be less than 80%. But in this kind of
01:57:00.200
50 to 80% range for many of the severe ones, from depression to schizophrenia, to autism, to bipolar.
01:57:06.360
And so this is something we face in schizophrenia and in autism. But in bipolar, it's extremely
01:57:13.320
strong. So right away, we know there's that link. And mania is the positive pole of bipolar disorder. The
01:57:19.920
other pole is depression. People with bipolar type one have had at least one manic episode where they have a
01:57:27.200
period of time. It could be a week where they've had this very clear, discreet state of elevated mood,
01:57:34.560
increased goal-directed activity, projects, plans, spending, taking risks, faster speech, not needing
01:57:42.080
sleep, truly not needing sleep, not nearly as much. And honestly, even though this causes problems
01:57:48.880
serious problems, and not to sugarcoat it at all, mania can do terrible things. People make very poor
01:57:57.040
decisions. They can be fatal. Yeah, I was just about to say, aren't people even slightly more likely to
01:58:02.780
harm themselves during a manic phase than the depressive phase? Yes, or the transition from out
01:58:08.840
of depression to mania, that's actually probably the most risky time when they might still have some
01:58:13.540
of the negativity from the depression. But now they've got the energy to act. Yeah, exactly. It's
01:58:19.360
a problem. But yet at the same time, some of my most memorable experiences in talking with manic
01:58:23.980
patients is I actually love talking to them because there's such a charge of energy. Anything's possible.
01:58:30.660
They're funny. They're warm. They're charismatic. And it's so easy to see that this is a state that's
01:58:37.680
it's not a bunch of random things happening in the brain. This is a coherent state of
01:58:43.520
elevated mood. It's consistent. You see it in one patient. You see it in another patient.
01:58:48.260
It's something that's there that human beings have as something they can do, a sustained state
01:58:54.980
of elevated mood and energy. And you look at that and you think, okay, why? And also, what does that
01:59:03.500
mean for treatment? Is there an ethical issue with treatment? Are there cases where mania is positive?
01:59:12.380
And this is something that the story in the book and projections really made me think
01:59:17.400
so hard about. This was actually when the seed for the book was first planted in my head. It was just
01:59:22.460
20 years ago, right after 9-11. And this patient, Alexander, he had never had any psychiatric illness
01:59:29.400
at all, nor in his family. But he was flipped into a completely classic, full-blown mania after 9-11.
01:59:36.700
And he had no particular connection. In fact, he was on a sailing trip in the Mediterranean with his
01:59:42.780
wife at the time, came back home after 9-11. And a couple of weeks later, he was manic. All these
01:59:49.520
symptoms that we talked about, and it was a huge problem. But he had this appropriate or at least
01:59:56.740
aligned quality to his symptoms. He was retirement age, but he was training himself to go into battle.
02:00:03.820
He was rappelling down trees. He was running through the night. He was reading about military
02:00:09.540
strategy. And then it verged into this very difficult, emotionally challenging. He was
02:00:16.240
screaming. He was hyper-religious. Everything had become quite extreme and incompatible with his life.
02:00:23.340
And so that ended up bringing him to the hospital. But looking at this and we think, okay, this is a
02:00:27.920
state of elevated mood and energy. It was triggered by context. And this is actually the flip side of
02:00:33.400
what you're saying with the immigrants. Not only is there likely to be a set of conditions that led
02:00:40.380
to these people being able to have the energy and willingness to take the risk and meet all the
02:00:45.740
incredible challenges of moving across countries and cultures. But then that's not this fight or flight
02:00:52.200
response of a minute when you've got a threat and you have energy and then you meet the threat and then
02:00:56.400
it's gone. We're talking about you need a sustained level of energy for weeks, months, years even, and
02:01:04.400
to take a risk and a life shift like that. And so everything is on a spectrum and you've got mania and
02:01:12.280
then you've got this hypomanic state in between that makes a lot of sense that people who are able
02:01:17.540
to sustain this elevated energy state are those that would be VR immigrants. And again, you have to look
02:01:24.420
at this and think it's a spectrum. Definitely it can be bad, but we have to value the whole spectrum
02:01:32.400
and understand the whole spectrum. It's part of who we are as the human family. Why do you think that
02:01:37.140
in the bipolar condition, you have this pairing of such opposites? Is the depression a necessary part
02:01:44.980
bipolar to basically allow the recharging after this unbelievable discharge of emotional and physical
02:01:52.860
energy? Because otherwise it doesn't seem like these would, you know, like for example, why doesn't
02:01:58.240
it just go normal affect mania, normal affect mania? Yeah, that's a great question. We don't have the
02:02:04.760
answer. Some people, some fortunate people are like that. You can get a diagnosis of bipolar disorder
02:02:10.800
without ever having a depression. One episode of mania gets you that diagnosis of bipolar type 1
02:02:16.720
and those people, there are people who haven't hit a major depression yet. That said, most of the time
02:02:23.680
there is that other pole of the disorder. And what is it? Is it, we don't know. Short answer is we don't
02:02:29.440
know. But a lot of interesting ideas. One could be sort of aligned with what you're saying that there's
02:02:35.380
some resource that's exhausted. It's not a resource that we know what it is. We can't point
02:02:40.880
to it. Is it a neural circuit state of some kind, a capability of a neural circuit that can become
02:02:47.460
exhausted? We know neurons can run out of energy. This is part of how the brain stimulation to cause
02:02:53.820
inhibition works. But that's all on a very fast timescale. You can exhaust neurons on seconds to
02:02:58.420
minutes. It's not known what really could get exhausted on the weeks scale. We don't know what that
02:03:04.300
would be. Or maybe it's the termination mechanism, but it just overshoots. Or maybe it's just that
02:03:11.460
what's lost is the homeostatic thing that keeps energy in a tight range. And then it could go in
02:03:19.540
either direction because you've lost some break that's present on either side. Not known, but a
02:03:25.140
very interesting question. What is technically the most common psychiatric disorder? Is it depression?
02:03:30.100
Actually, the anxiety disorders, if you group them together, anxiety is the most common.
02:03:36.060
But depression is certainly up there. That's in the top group for sure. Anxiety disorders are
02:03:41.660
so underappreciated. A lot of people don't talk about them. A lot of people can make it through the
02:03:47.020
day with anxiety, even if they're suffering terribly. So yeah, anxiety is most common.
02:03:52.640
What has optogenetics taught us about depression?
02:03:54.720
This is my clinical specialty. I have right here in this office, we do vagus nerve stimulation.
02:04:01.020
For example, this is a VNS therapy, a radio frequency controller. We still do here electroconvulsive
02:04:07.480
therapy. We do transcranial magnetic stimulation. Clinically, though we're looking for guidance from
02:04:13.820
the science because it's still not known clinically what actually is going wrong in depression. We don't
02:04:21.240
actually know that in a way that can guide therapies in the way that we'd like. And what's
02:04:27.360
the scientific situation? Well, optogenetics has helped quite a bit because, and again, picking up
02:04:31.840
on this theme, of course, there's different parts to depression. And this is how we diagnose it. We ask
02:04:35.880
about all these different parts. There's depressed mood, and that's this negative state, okay?
02:04:44.640
There's hopelessness. So it's kind of the opposite of mania. A manic person thinks anything's possible.
02:04:49.780
Well, depressed person thinks nothing's possible. There's a deep discounting of the value of effort.
02:04:55.420
And this shows up as hopelessness. This even can lead to suicidality and certainly severe social
02:05:00.780
and occupational dysfunction. And then there are other parts to depression. There's something
02:05:04.840
called anhedonia, which is really interesting. Yeah, this is perhaps the most insidious component
02:05:09.940
of depression by far. Right, right. And it's not commonly known. People on the street don't talk
02:05:15.940
about anhedonia, right? They'll say they're depressed, but nobody talks about their anhedonia.
02:05:21.160
But it's an incredibly important symptom. It's such a core symptom of depression that actually
02:05:25.180
you can get a diagnosis of major depressive disorder without depressed mood if you also have
02:05:30.420
anhedonia. It's that important. And it's the absence of pleasure or joy from things that normally
02:05:38.080
bring pleasure or joy. And we've all had a cold and we've known that taste is gone. Food has lost all
02:05:47.020
joy. It's things even without the cold with the anhedonia of depression, all the joy of food or
02:05:54.320
social interaction or, you know, your children, your grandchildren, a book, a movie, all the joy of life
02:06:01.580
is gone. And this is a horrific thing. It leads to very serious problems. And that's something that
02:06:08.940
optogenetics has helped us understand. What do we know about that? Where do the neurons reside and
02:06:14.700
what are the neurotransmitters involved in the propagation of anhedonia? So again, you might say,
02:06:20.500
how are you going to test this? And you can set up very simple behaviors with animals that provide
02:06:26.600
some insight. First of all, you could provide a simple choice for animals. Mice like us like sugary
02:06:34.180
drinks, and you could give the animal a choice of a sugary drink or just water. And normally,
02:06:40.480
a mouse will prefer, kind of like we do, they'll prefer the sugary drink and buy a factor of, you know,
02:06:46.140
two to one or more. But a mouse that's been stressed, it's had some unpredictable events happen,
02:06:53.080
it's had its sleep disrupted. It will not prefer the sugar water nearly as much. It won't care as
02:07:01.980
much. And so it's such an interesting thing, given all the evolutionary importance of a small,
02:07:07.360
high metabolic rate mammal needing sugar. And we know the reward that we feel from sugar and presume
02:07:14.760
it's very similar for them. And then not caring, sugar water, regular water, doesn't matter now.
02:07:21.060
So in other words, if you had them going 50-50 between sugar water and regular water,
02:07:26.700
that would be even more telling than if they disproportionately went to the regular water,
02:07:31.120
right? You would be looking for a complete amelioration of the effect of the sugar water
02:07:34.820
would suggest that they have basically lost interest. That's right. That's exactly right.
02:07:39.560
And that in fact happens. And so we and others have explored this kind of thing with optogenetics.
02:07:44.840
And we found that there are pathways and coming back again to the dopamine neurons, which are
02:07:50.800
tightly linked to mood and mania and depression. But they're a complex set of cells. Some send
02:07:57.500
connections to one part of the brain, some send connections to another part of the brain.
02:08:01.900
We have found some interesting pathways that relate to those dopamine neurons where you can actually
02:08:07.900
affect how potent a normal rewarding stimulus is by something going on in the frontal cortex,
02:08:17.200
in the frontal part of the brain. An overactivity in the prefrontal cortical areas can cause anhedonia
02:08:25.540
in rodents. An overactivity seems to cause an inability of the dopamine neurons to recruit,
02:08:33.860
reward circuitry. And so this is an insight that optogenetics brought us. And it's something that
02:08:39.780
we're following up mechanistically. It's kind of an interesting thing that there's,
02:08:44.520
what we found is that again, using optogenetics, that the frontal cortex can suppress both positive
02:08:49.580
and negative things. It can suppress fear. It can suppress anxiety. This is part of how we exert
02:08:55.480
cognitive control over situations. We can enter a scenario that we know is risky. If we think about it
02:09:03.260
enough, if we frame it enough for ourselves cognitively, if we review the need for it,
02:09:10.720
for taking this action. And so our frontal cortex can help us by tamping down negative aspects,
02:09:18.480
but it also, when overactive, it turns out can tamp down positive aspects as well. And optogenetics has
02:09:24.840
given us a causal insight into this. And so that's just one example. But all the other features of
02:09:30.800
depression as well are susceptible to optogenetics study, and we've gotten insight into them.
02:09:37.620
Hopelessness being another one. And so here, again, you might ask, how do you measure hope in an
02:09:42.640
animal? Well, you can put an animal in a challenging situation that is not escapable. The animal can try to
02:09:52.400
get out of this challenging situation. And then... Would that be like a maze that doesn't have an
02:09:56.780
exit? Yeah. No way of getting out. Exactly. So it doesn't have to be painful. Just something that
02:10:02.360
an animal would want to get out of. And eventually they give up. We can do this actually in fish as
02:10:06.860
well as in mice. And that giving up is effectively, it's this hopelessness. It's this discounting
02:10:14.440
of effort. And that can be an appropriate thing, let's say. Of course, if the situation truly is
02:10:21.560
hopeless, it really is not good to keep devoting effort to it, right? If you keep flailing against
02:10:28.360
an insuperable situation, you're burning energy, you could cause physical risk, you're distracting
02:10:34.500
yourself from other things. Withdrawing, entering into a passive coping state is actually adaptive up to a
02:10:43.000
point. The problem with depression is it becomes extreme. So it becomes maladaptive. You discounted
02:10:49.240
the value of everything. And then it's got this mysterious negative balance to it too, which is of
02:10:55.380
course also part of the problem. What do you think is the evolutionary basis for depression? This is
02:11:00.800
something that is so ubiquitous. I think I can, based on what you said earlier, see the evolutionary
02:11:07.700
basis for anxiety. And maybe we could just argue that the pathologic version, well, we could discuss
02:11:15.840
why maybe it's been amplified and what it is about our environment that perhaps does that. But
02:11:20.620
depression is a less clear to me. And certainly mania is clear, right? I think we've made a very
02:11:25.060
compelling case for why mania could be, why evolutionary pressure could have favored the propagation or at a
02:11:32.920
minimum the maintenance of this. Why depression? It seems to be counter to your ability to mate,
02:11:40.100
to find food, to defend yourself. I'm struggling to come up with one evolutionarily valuable tool that
02:11:49.120
would be better in a depressed state. I think about this all the time. And part of what we've
02:11:55.440
discussed already may provide some insight, which is this withdrawal, this passivity, it is, in some
02:12:05.020
cases, you can think of it like a hibernation. Is it worthwhile for an animal to actively try to cope
02:12:12.780
with winter by running around trying to find more food all through the winter or to withdraw, to sleep
02:12:18.300
more, to not see the value or feel the value in going outside and doing anything?
02:12:23.260
And clearly, no matter what you do, you can't fight winter, right? The best thing is to conserve
02:12:29.260
your energy, ride it out on some time scale that's appropriate. Now, think about depression. It comes
02:12:37.100
with this low energy. It comes with this hopelessness, this discounting of effort, this lack of motivation
02:12:43.700
to go seek things to be enjoyed, reduced drive for social interaction. All these things can be part of
02:12:50.580
depression. The negative aspect is the one part that I can't explain. That's, of course, the clinically
02:12:56.420
significant problem. Why does it feel bad? And this is not just feeling bad. This is agony. This is psychic
02:13:02.580
pain. This is the kind of thing that drives people to seek suicide. Not to discount that at all. We don't
02:13:09.760
understand why depression feels bad. But the passivity of coping, that can be adaptive. And it's perhaps,
02:13:20.800
you could see almost depression as a hack, a bad hack. Maybe one that's not fully evolved yet. Just like
02:13:27.760
mania, not fully evolved yet, not under all the right controls to make it more generally suitable and
02:13:36.240
reasonable. Depression, easiest way to make it happen is to remove the joy, to remove the energy, to seek
02:13:49.040
out reward. And then you've got an organism that's going to be passive, that doesn't see a path to
02:13:55.840
something positive. And evolutionarily, if you take this viewpoint, maybe one way of getting to that goal
02:14:04.560
that had some at the population level, some adaptive value included having this negativity, this negative
02:14:12.480
state to it. And this is pure speculation, you know, but it's important because depression is very
02:14:19.600
genetically determined. It's common. It's biological. And at some level, we have to deal with the fact that we
02:14:29.360
have evolved to be where we are now. And we have this high rate of depression. And so we have to include in our
02:14:35.280
thinking, the biology and the evolution together. And so that would be my take on it. Of course, it's very hard. And I
02:14:41.840
wouldn't claim to have a definitive understanding. Two unrelated questions. I don't even know which
02:14:48.140
one to ask first. So I'll probably just ask them both and then let you take them whichever way you
02:14:52.300
like. The first is sort of a desire to understand where depression specifically, but even other mental
02:14:58.480
illness fits into our closest relatives, the primates, right? Do we have a sense that our primate
02:15:04.740
relatives are as afflicted by depression and or other mental illnesses as much as we are? Let's start
02:15:11.760
with that. One of the clearest things we can see is that non-human primates can certainly enter into
02:15:17.660
maladaptive states that look like grief in bereaved states. There are cases where you can have a non-human
02:15:26.280
primate who is old enough to feed itself, but who has lost a mother, let's say has lost its mother and loses the
02:15:34.200
motivation to feed and protect itself and stay with the troop and ends up dying as a result. This is a
02:15:41.740
clearly maladaptive state documented that in a non-human primate, you could call it something like
02:15:49.080
a depressed-like state deriving from bereavement and presumed to anthropomorphize something like grief
02:15:55.420
associated with bereavement. So I believe these states are shared by our non-human primates.
02:16:03.600
Any evidence of self-harm in non-human primates? Does it ever get to the level of, I mean, suicide is a top
02:16:12.040
10 cause of mortality in the developed world. It's important to make sure people understand the
02:16:19.260
significance of that statement. In the developed world, when you think about all of the problems we've
02:16:24.380
been able to solve, one of the 10 leading causes of death is self-harm. And by the way, if you really include
02:16:34.220
overdose as a subset of that, it probably leapfrogs into the top seven. Is there evidence that this occurs in
02:16:43.600
The short answer is no. And there are less suicidal forms of self-harm that can happen. Now and then
02:16:54.520
you'll see animals carrying out behaviors like headbanging and things like that. But in terms of
02:17:00.960
a true suicide, the volitional ending of the self, there is not a animal model for that. Let's say it's
02:17:10.440
not clear that that happens. And if you think about it, as much as we'd like to have that so we could
02:17:15.600
address this urgent, enormous clinical need that's not going away, we would love to have some way of
02:17:21.900
studying this. We don't have it. And if you think about it, the ending of the self is an extremely
02:17:30.140
cognitively complex thing. You think about the act of suicide, which we don't understand, and it's a
02:17:36.520
horrific thing. But you've got, there has to be some understanding of what that means, that there
02:17:42.900
is an ending of life, an ending of the self, and that the pain that's being felt now would not be
02:17:50.300
felt then. This is a level of understanding of the universe that it doesn't seem that animals that are
02:18:00.380
not us actually have. We could be wrong. I'm completely willing to admit that. There are
02:18:06.960
amazing animals, you know, dolphins and whales and elephants have incredibly complex and amazing
02:18:12.200
minds. They may be better than we are at some of these deep concepts, but they may have less clear
02:18:20.540
ways to express it. They may have not having fingers and hands to do things that we can do. They may not
02:18:28.800
have the ways to express it, even though their cognitions may be just as complex. And so I think
02:18:33.380
there are two factors. One is the things that set us apart, our brains and our hands, those two don't
02:18:39.440
come together in any other animal. And I think that's why you don't see suicide elsewhere, at least
02:18:44.480
as we understand it. Our colleague, Paul Conti, close, also a friend from medical school, who trained
02:18:50.920
with you in psychiatry, has just written a wonderful book on trauma. And so it begs the question,
02:18:57.120
what role does trauma play in the amplification of depression? We know, as you said, that depression
02:19:04.280
is highly heritable, but like most conditions that are heritable, there tends to be environmental
02:19:11.000
triggers that can bring one person to have it and one not to have it. Even if you take the most extreme
02:19:17.060
example of the monozygotic twins raised in a separate environment, one comes down with something,
02:19:22.600
there's clearly some difference. So what role do you think that early childhood trauma plays in
02:19:28.820
all mental illness, but I guess specifically depression? And do you believe that that could
02:19:34.240
be epigenetic? In other words, do you believe that this thing can irreversibly mark the gene and then
02:19:44.640
Yeah. Subsequent generations. Yeah. So the effects of trauma, the lasting effects of early life trauma
02:19:53.140
are unfortunately very clear. These you can see in animals as well. And they extend beyond depression
02:20:02.280
for sure to include the personality disorders like borderline personality, for example.
02:20:07.480
So there's no question that early life trauma has lasting psychiatric influence on
02:20:14.640
throughout life and can cause very severe problems. Many ways to look at this, why is it happening
02:20:20.460
and how is it happening? Is there a wiring change? So is the lasting quality due to a physical
02:20:28.800
structure of the brain as a circuit? That's one level at which it could happen. And the brain is very,
02:20:35.540
brain circuitry is very tunable that way, especially in young people. And so you could imagine that
02:20:44.160
early life experience with trauma sets up the human to expect in some ways that the world is a harsh and
02:20:54.820
unpredictable place and that the value system had better be set up to deal with that because that's
02:21:02.420
how it is apparently. And so you could almost imagine an adaptive, though very unfortunate, process going
02:21:10.020
on where there's a period of youth where you're gathering statistics about the environment, deciding
02:21:16.560
what the adult should be like, and then implementing that. And so early life trauma could intersect with
02:21:22.680
such a process, very unfortunately, and create people with a lasting state of depression, for example,
02:21:29.840
expecting aversive things to be present at higher rates and negative consequences of actions to be present
02:21:37.400
at a high rate. Now, that could be for sure the case as far as an evolutionary logic, but there's no
02:21:45.340
doubt that this happens in terms of the behavioral effect and the psychiatric effect, the lasting effects
02:21:51.820
of early life trauma. Now, if it's not neural circuitry, what else could it be? It could be genetic or
02:21:57.100
epigenetic, as you say. You're not changing your genome from childhood to adulthood, but you're changing
02:22:02.780
the transcription factors, the promoters and enhancers. You could be affecting gene expression
02:22:08.920
throughout life, and that, at least through the life of that individual, we understand how that
02:22:13.600
mechanistically could work. And then finally, you raise the intergenerational aspect. In human beings,
02:22:20.460
this is very hard to separate from, you know, it's the nature-nurture thing. Of course, you've got
02:22:24.880
the parenting that's linked to what might have happened in a prior generation. And I'd say it's still
02:22:31.280
controversial how much intergenerational transfer can happen, although in animals, there are mechanisms.
02:22:38.220
You wrote about the, well, at least you wrote about your musings, your exploration of the idea of
02:22:43.900
the evolutionary basis for tears. I found this completely fascinating. A, I found it fascinating
02:22:50.200
because I'd never once considered that. And for someone like me who is often thinking about the
02:22:54.800
evolutionary basis for this feature or that feature, it was interesting to me that I hadn't considered
02:23:02.600
Well, emotional tears, and by that, the liquid coming from our tear ducts in times of emotion,
02:23:09.380
this is apparently, as far as we can tell, it's a human trait. Our great apes don't do this,
02:23:14.800
and even some human beings don't do it. So it's a special thing. It's not that we are the only ones
02:23:19.520
that grieve, but we're the ones that secrete this fluid from our eyes at these extreme moments.
02:23:24.300
And this has been studied. There are scholars of tears, as it were, and you can do things like
02:23:29.560
add or subtract tears digitally from pictures of faces, and these have enormous impacts.
02:23:36.820
The reactions of people seeing these images is much, much greater than a smile or a grimace,
02:23:43.160
and particularly creating a desire to help. When we see tears, we want to help that person. And so this
02:23:49.540
intersects very closely with the, I think, with the involuntary, largely involuntary nature of tears.
02:23:56.080
It's a truth channel. It's not so easily gameable. It reveals something that in a social grouping,
02:24:03.500
like those that we've evolved to maintain, it is an involuntary expression of something,
02:24:10.980
the world changing, of needing new systems in place, and it triggers this outreach from people
02:24:17.920
who see it in a very powerful way. And this question, can an emotional change cause something
02:24:25.380
like this to happen? It would be a very easy rewiring to happen. There are already axons that
02:24:29.900
come from emotional regions and go to the brainstem that control the breathing rate, for example, in
02:24:35.840
anxiety. And right next to those breathing rate regions, there are regions that control the tear
02:24:42.040
ducts. They're right next to each other in the brainstem. And a very tiny, tiny rewiring,
02:24:46.160
a little axon just going in one slightly different direction would create this state of expressing
02:24:52.520
this visible manifestation of an inner world. And for a social species like ours, it could be
02:24:59.240
easily evolutionarily selected for. And so there's, in the story, a storehouse of tears
02:25:04.940
in projections. This is something that a patient's story helped bring to the forefront of my mind,
02:25:11.740
Yeah, it's a, I won't give any more away from that story because I want people to read it for
02:25:16.540
themselves. Carl, I know that we've kind of reached the limit of our time and you have another
02:25:21.220
commitment today. As you can probably imagine, I could continue this discussion for probably another
02:25:26.700
couple of hours, and I gather you could as well if it weren't for this other commitment. So
02:25:31.600
I think what we should do is just commit to sitting down again next year at some point
02:25:35.140
and continuing this discussion. There are so many more questions I have about
02:25:38.960
personality disorders. And another topic that we didn't even get into today that we're both very
02:25:43.840
interested in is psychedelics, both from the traditional side, even to the non sort of
02:25:49.560
traditional side, the use of ketamine, psilocybin, LSD, MDMA, all of these things, which are an
02:25:55.840
enormous interest of yours clinically and scientifically as of mine. So I want to, again,
02:26:01.420
congratulate you on not just your recent Lasker award, which again, I'll make sure in the introduction
02:26:07.080
to explain to people what the significance of that is, but also your remarkable achievements over the
02:26:12.380
past two decades and this remarkable work that you've written projections, which I suspect many
02:26:18.140
people are going to be reading after this. So Carl, thanks very much for spending time with us today
02:26:22.260
and for educating us on this amazing journey you've been on.
02:26:26.200
Pete, it's been great. Great to reconnect with you again and an incredibly enjoyable
02:26:29.860
conversation and look forward to talking again.
02:26:33.580
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