WEBVTT - The Brain Implant That Could Change Medicine

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<v Speaker 1>Pushkin. My guest today is a brain surgeon who also

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<v Speaker 1>has a PhD in electrical engineering from MIT, which is

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<v Speaker 1>to say he is extremely well prepared to figure out

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<v Speaker 1>how to implant electronic devices in people's brains, which is

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<v Speaker 1>what he's doing, and in fact, as it happens, he's

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<v Speaker 1>actually been preparing to do this kind of his whole life.

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<v Speaker 2>You know, I sort of was born into the business.

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<v Speaker 2>My dad is a neurologist who started on his career

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<v Speaker 2>as an electrical engineer. You know, electrophysiology, clinical neuroscience and

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<v Speaker 2>neurology and our surgery. I've been a part of my

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<v Speaker 2>life forever as far as I can remember. And you know,

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<v Speaker 2>brain computer interfaces the way we talk about them today

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<v Speaker 2>didn't exist in the nineteen eighties, but the fundamentals were there,

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<v Speaker 2>and so that's been percolating in some way forever.

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<v Speaker 1>I'm Jacob Oldstein and this is What's Your Problem, the

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<v Speaker 1>show where I talk to people who are trying to

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<v Speaker 1>make technological progress. My guest today is Ben Rapaport. He's

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<v Speaker 1>the co founder and chief science officer at Precision Neuroscience.

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<v Speaker 1>Ben's problem is this, can you build a device that

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<v Speaker 1>allows someone who is paralyzed to use a computer with

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<v Speaker 1>only their thoughts and can you do it without sticking

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<v Speaker 1>needles into their brain. Before he started Precision, Ben was

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<v Speaker 1>a co founder of Neuralink. Neuralink is probably the best

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<v Speaker 1>known brain computer interface company, and it was founded in

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<v Speaker 1>twenty sixteen, right around the moment when modern AI was

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<v Speaker 1>just emerging. And Ben told me the AI revolution was

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<v Speaker 1>really what inspired the foundation of Neuralink.

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<v Speaker 2>The kind of founding principles of neuralink were, you know,

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<v Speaker 2>here's here's a point in time when we're thinking broadly

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<v Speaker 2>about how the human brain is going to interact with

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<v Speaker 2>artificial intelligence. And if breakthrough is an artificial intelligence are

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<v Speaker 2>scaling at an exponential rate, you know, how's the human

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<v Speaker 2>brain going to keep up with that? How are we

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<v Speaker 2>going to keep communicating with artificial intelligence in a way

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<v Speaker 2>that is feasible and productive.

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<v Speaker 1>So that's a really different that's not how can we

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<v Speaker 1>help people who are paralyzed. That's a much more sort

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<v Speaker 1>of cognitive centric. It's about like the nature of human

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<v Speaker 1>thought in the context of AI.

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<v Speaker 2>So that was the that's kind of the raison deetra

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<v Speaker 2>of neuralink, and it was a little different from a

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<v Speaker 2>human focused medically oriented focus that Precision has taken. And

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<v Speaker 2>these different focuses can you know, can and will coexist

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<v Speaker 2>in an ecosystem in which multiple brain computer interface core

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<v Speaker 2>technology has become widely available and are the standard to

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<v Speaker 2>become the standard of care. But it became clear to

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<v Speaker 2>me that that there was a need to also focus

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<v Speaker 2>an effort within the community of bring computer interfaces on

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<v Speaker 2>treating patients with untreatable diseases. That was the origin, you know,

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<v Speaker 2>brain computer interfaces was really bringing this science and technology

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<v Speaker 2>to a point where you know, people who today we

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<v Speaker 2>think have has having really no treatment options, people with

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<v Speaker 2>paralysis or an ability to speak, for example, from als,

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<v Speaker 2>you know, really unlocking a world of possibilities for those people.

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<v Speaker 2>But we really wanted to focus on those applications within

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<v Speaker 2>bringing computer interfaces, and doing that, in my view, required

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<v Speaker 2>making a few different design decisions than what we've made

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<v Speaker 2>at Neuralink. You know, so those were the founding principles

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<v Speaker 2>of Precision.

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<v Speaker 1>You leave Neuralink to found Precision. Tell me tell me

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<v Speaker 1>about what you you know, what you're setting out to

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<v Speaker 1>create at Precision when you're launching the company, Like, what

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<v Speaker 1>is it that you want to do and how is

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<v Speaker 1>it different than what everybody else is doing.

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<v Speaker 2>Yeah. The goal then and is today to build a safe,

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<v Speaker 2>scalable brain computer interface that can become the standard of

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<v Speaker 2>care in the treatment of patients people with a variety

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<v Speaker 2>of diseases of the brain and nervous system that today

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<v Speaker 2>are untreatable. That that includes various forms of paralysis and

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<v Speaker 2>inability to communicate.

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<v Speaker 1>And tell me about the tell me about the technology, like,

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<v Speaker 1>tell me about the thing you're building and how it's

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<v Speaker 1>different from what other people are building.

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<v Speaker 2>Our philosophy has been that in order for a brain

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<v Speaker 2>computer interface to really work in the real world and

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<v Speaker 2>to unlock the potential of this technology for many millions

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<v Speaker 2>of people. First, of course, it has to be incredibly safe.

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<v Speaker 2>We see the use of the views of the term

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<v Speaker 2>minimally invasive a lot, but really in my view, has

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<v Speaker 2>to not damage the brain.

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<v Speaker 1>So what does that mean in practice?

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<v Speaker 2>Yeah, the tissue interface with the electrode involves kind of

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<v Speaker 2>like little needles of the electrics are little needles and

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<v Speaker 2>they penetrate into the brain. And there's been a lot

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<v Speaker 2>of innovation in doing it, trying to do that very safely,

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<v Speaker 2>But in my view, the most safe version of that

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<v Speaker 2>is a version that just kind of caresses the brain

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<v Speaker 2>but doesn't penetrate it. And it was at first thought,

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<v Speaker 2>you know, certainly when we found a precision, many people

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<v Speaker 2>thought that it was not possible to extract high quality

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<v Speaker 2>signals from the brain without penetrating, and we and others

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<v Speaker 2>have shown that, in fact, it's not only possible to

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<v Speaker 2>do but has many advantages. So not that it's the

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<v Speaker 2>only way or necessarily better or worse, but from the

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<v Speaker 2>standpoint of people who have untreatable diseases and already have

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<v Speaker 2>a very low threshold for damage to the brain, not

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<v Speaker 2>doing any incremental damage to the brain for us is

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<v Speaker 2>very very important. So that was sort of part one

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<v Speaker 2>of precision.

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<v Speaker 1>Is there before we get to part two? Is there

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<v Speaker 1>a trade off? I mean, do you lose some amount

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<v Speaker 1>of sensitivity or resolution? Is that the basic trade off?

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<v Speaker 2>So we always get this question, you know, right, No,

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<v Speaker 2>it's absolutely it's a good question, right, And so there's

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<v Speaker 2>this false dichotomy. I think that more penetration into the

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<v Speaker 2>brain equals higher quality signal, and if you don't do that,

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<v Speaker 2>then you somehow sacrifice signal quality. But it's really not

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<v Speaker 2>a one dimensional as one dimensional as that if you're

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<v Speaker 2>a neuroscientist, then there's a trade off. If you care

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<v Speaker 2>about recording from one neuron out of time, and you're

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<v Speaker 2>studying the behavior of individual neurons, and you care about that,

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<v Speaker 2>then you want what we called intracortical penetrating microelectrodes, the

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<v Speaker 2>ones that can come up up close to an individual

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<v Speaker 2>neuron and listen to those individual action potentials. And that's

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<v Speaker 2>something that neuroscientists care about. So you don't want to

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<v Speaker 2>use the same electrodes that we use for a precision

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<v Speaker 2>But but if what you care about is is treating

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<v Speaker 2>paralysis or sources of communication, what you care about is stable,

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<v Speaker 2>high quality signals over a long period of time. And

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<v Speaker 2>in that area, arguably, just based on the data, you know,

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<v Speaker 2>the cortical surface electrodes that we use at precision are

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<v Speaker 2>at least as good, if not better. And I think

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<v Speaker 2>you know, I will tell because there's a few of

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<v Speaker 2>these different systems that are now out there in the

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<v Speaker 2>real world. What's really exciting is that this has come

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<v Speaker 2>out of the laboratory, out of animal experiment territory, into

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<v Speaker 2>human pilot clinical trials that we and neuralink and synchron

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<v Speaker 2>and others are engaged and that's really where it's at.

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<v Speaker 1>So tell me where you are now. I know you've

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<v Speaker 1>done some amount of experimental work in people, right what

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<v Speaker 1>is the frontier of your work right now?

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<v Speaker 2>Yeah, we've now implanted our electrode raise in almost thirty

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<v Speaker 2>patients over the last two years. These are pilot studies

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<v Speaker 2>across four major medical centers and the US that are

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<v Speaker 2>partnering with US, and all of those studies are really

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<v Speaker 2>they're temporary placements of the electrodes. So there are studies

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<v Speaker 2>that are run in nations who have volunteered to have

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<v Speaker 2>the electrodes placed alongside clinical standard electrodes as part of

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<v Speaker 2>a under resurgical procedure that they're already undergoing. And we've

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<v Speaker 2>been using those opportunities to basically validate the quality of

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<v Speaker 2>electroctavity that we can record on those electrodes and to

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<v Speaker 2>demonstrate that our algorithms can in fact basically decode intention

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<v Speaker 2>and thought as intended by health essentially healthy volunteers.

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<v Speaker 1>So the array itself, like, what does it look like?

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<v Speaker 2>So the brain lives in the skull, so it's a

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<v Speaker 2>it is a soft tissue that's kind of jelly like inconsistency,

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<v Speaker 2>and so the best way to generally interface with it

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<v Speaker 2>is with something also that is soft and flexible. And

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<v Speaker 2>the surface of the brain is many of us have

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<v Speaker 2>seen in pictures, is curved or undulating, and so our

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<v Speaker 2>electrode array is a thin polymer that's many times thinner

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<v Speaker 2>even than a human hair. So it's a film, and

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<v Speaker 2>embedded in that film are tiny little dots of platinum,

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<v Speaker 2>each one connected to it very very very thin platinum wire.

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<v Speaker 2>And so that film with the tiny little dots of

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<v Speaker 2>platinum inside, can be placed over the brain surface and

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<v Speaker 2>it conforms to that curved surface. So each of those

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<v Speaker 2>little platinum electrodes touches the surface of the brain at

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<v Speaker 2>a very discreete point, and so it can record the

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<v Speaker 2>electrical activity from the area of the brain just under

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<v Speaker 2>that its touching basically.

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<v Speaker 1>Okay, So in these trials, you put this implant on

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<v Speaker 1>a patient's brain and then what.

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<v Speaker 2>So let me describe maybe one of the paradigms that

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<v Speaker 2>we use at one of our partner sites. So ian

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<v Speaker 2>Cahegus is the neurosurgeon at Penn who's our partner, and

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<v Speaker 2>he is a surgeon who specializes in the treatment of

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<v Speaker 2>Parkinson's disease. One of the ways of treating Parkinson's disease

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<v Speaker 2>is a procedure called deep brain stimulation, in which electrodes

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<v Speaker 2>are placed deep within the brain to stimulate those areas

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<v Speaker 2>that are responsible for modulating the tremor. Doctor ca Vegas,

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<v Speaker 2>among many others, performs these procedures at least a part

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<v Speaker 2>of them awake in order to make sure effectively that

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<v Speaker 2>the exact right place is being targeted and the brain

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<v Speaker 2>doesn't feel pain. And so it's not only possible but

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<v Speaker 2>beneficial to do these procedures at least partially awake. So

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<v Speaker 2>in those procedures, we take a basically a fifteen minute

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<v Speaker 2>window and doctor Ahigis places the precisional electrode directly over

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<v Speaker 2>the motor cortex, a portion of the motor cortex that

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<v Speaker 2>controls hand movement. And this has provided for us and

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<v Speaker 2>for the community, the highest resolution picture of the human

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<v Speaker 2>motor cortex and the awake human ever in the history

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<v Speaker 2>of the world. So you know, the area of the

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<v Speaker 2>brain of the motor cortex that controls hand movement is

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<v Speaker 2>about the size of a postage stamp. And critically to

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<v Speaker 2>understand is the neurons that are responsible for coordinating those movements.

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<v Speaker 2>They all live within a two milimeters your layer of

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<v Speaker 2>tissue that's just at the surface of the brain. So

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<v Speaker 2>all that critical computation and activity is happening very very

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<v Speaker 2>close to the surface. And so it's good.

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<v Speaker 1>For you, good for us method. So so what actually happens.

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<v Speaker 1>So you have a patient who's there, you put your

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<v Speaker 1>array on the on the portion of their motor cortex

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<v Speaker 1>that controls hand movements, and then you say, wiggle your finger.

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<v Speaker 2>Exactly, so we say, we say, we say, basically, you know,

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<v Speaker 2>we asked. We walk the patient through making a certain

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<v Speaker 2>number of gestures, you know, open hand, close hand, make

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<v Speaker 2>a peace sign, and we watch, and I say metaphorically watch,

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<v Speaker 2>We watch what the patient is doing, and we watch

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<v Speaker 2>what is happening on the surface of the brain. And

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<v Speaker 2>and here is you know, where modern machine learning plays

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<v Speaker 2>a tremendous role, because this exactly, you know, this is

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<v Speaker 2>the AI portion of it, because this is this is

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<v Speaker 2>the so called training data. So this this is a

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<v Speaker 2>calibration phase in which our algorithms learn what the brain's

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<v Speaker 2>signals to the hand look like in a given patient.

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<v Speaker 2>So there's a characteristic signature, electrical signature that happens in

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<v Speaker 2>the moments before an action is done, and it's a

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<v Speaker 2>little bit different in each person, and learning that signature

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<v Speaker 2>for that person allows us to recognize when the brain

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<v Speaker 2>is telling the hand to make a particular gesture, when

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<v Speaker 2>the fingers are supposed to move in a particular way,

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<v Speaker 2>when the hand opens and closes, and after about three

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<v Speaker 2>to five minutes of training, we then have a trained

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<v Speaker 2>algorithm that can recognize not just movement, but the intention

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<v Speaker 2>to move. And so we then use the balance of

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<v Speaker 2>the time that we have with those patients to ask

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<v Speaker 2>the patient to move and validate that we're predicting the

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<v Speaker 2>correct movement, and then to imagine movement without moving, and

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<v Speaker 2>that too we can accurately predict. And so these procedures

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<v Speaker 2>become the basically healthy volunteer test bed for patients who

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<v Speaker 2>can't actually move, the paralyzed patients that we'll be treating

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<v Speaker 2>within the next couple of years. So that's that's the

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<v Speaker 2>nature of this first phase of pilot trials.

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<v Speaker 1>You mentioned that each person is different in terms of

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<v Speaker 1>the patterns of neuron activity for each hand motion. In

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<v Speaker 1>this context, how different is it like kind of like

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<v Speaker 1>a Southern accent versus a New York accent. Is it

0:13:30.996 --> 0:13:33.756
<v Speaker 1>like an entirely different language if that kind of metaphor work.

0:13:33.836 --> 0:13:36.796
<v Speaker 2>Yeah, No, that's a perfect metaphor. And it's it's kind

0:13:36.796 --> 0:13:39.516
<v Speaker 2>of like that. So you know, you if you're trying

0:13:39.556 --> 0:13:41.836
<v Speaker 2>to learn a new language or a dialect, you know

0:13:42.036 --> 0:13:45.396
<v Speaker 2>that there are words, and you know that they're spoken

0:13:45.396 --> 0:13:47.596
<v Speaker 2>in a particular frequency range, so you kind of know

0:13:47.596 --> 0:13:49.916
<v Speaker 2>what to listen for, and you kind of know the cadence.

0:13:49.996 --> 0:13:51.716
<v Speaker 2>So when there's a word, you know that's a word,

0:13:52.116 --> 0:13:54.716
<v Speaker 2>but you might not know what it means until you

0:13:54.916 --> 0:13:57.796
<v Speaker 2>listen in to conversation and you've seen the context.

0:13:58.036 --> 0:14:01.396
<v Speaker 1>So so like pretty different. Like it wouldn't work to

0:14:01.516 --> 0:14:05.916
<v Speaker 1>just make a generic algorithm and put her on my brain.

0:14:05.836 --> 0:14:08.836
<v Speaker 2>Because it doesn't work to make a generic algorithm. But

0:14:09.396 --> 0:14:11.716
<v Speaker 2>that's an area where there's been a lot of just

0:14:11.756 --> 0:14:15.676
<v Speaker 2>fascinating development. And so a good example of this is,

0:14:15.876 --> 0:14:18.076
<v Speaker 2>you know, Siri works out of the box for most

0:14:18.116 --> 0:14:20.876
<v Speaker 2>people pretty well, right.

0:14:21.076 --> 0:14:23.516
<v Speaker 1>Talk into your eye, right, it works.

0:14:23.316 --> 0:14:25.956
<v Speaker 2>Right, It works pretty well, and then you need to

0:14:25.996 --> 0:14:28.236
<v Speaker 2>train it to make it better, and then it listens

0:14:28.236 --> 0:14:31.116
<v Speaker 2>to you in the background and gets even better. And

0:14:31.156 --> 0:14:32.996
<v Speaker 2>so that that's a good that's a good analogy. So

0:14:33.316 --> 0:14:36.196
<v Speaker 2>it is possible for us to build, you know, a

0:14:36.196 --> 0:14:40.876
<v Speaker 2>translation algorithm that works somewhat out of the box, but

0:14:40.996 --> 0:14:45.036
<v Speaker 2>we build into it a calibration phase that knows something

0:14:45.076 --> 0:14:48.996
<v Speaker 2>about the structure of brain signals and how they interact

0:14:48.996 --> 0:14:53.676
<v Speaker 2>with and relate to movement or speech. And that's what

0:14:53.796 --> 0:14:57.036
<v Speaker 2>basically allows us to use only relatively small amounts of

0:14:57.076 --> 0:14:59.116
<v Speaker 2>calibration data. I mean, you know, we can do a

0:14:59.156 --> 0:15:01.116
<v Speaker 2>lot with a small amount of calibration data.

0:15:01.196 --> 0:15:05.836
<v Speaker 1>So you're doing a sort of pilot study. Now, when

0:15:06.516 --> 0:15:07.836
<v Speaker 1>what's the next big step?

0:15:08.756 --> 0:15:11.676
<v Speaker 2>So I want to be careful about what I say

0:15:11.996 --> 0:15:15.756
<v Speaker 2>before it happens. But we do anticipate being able to

0:15:16.156 --> 0:15:19.476
<v Speaker 2>in the very near future extend what are now short

0:15:19.556 --> 0:15:24.156
<v Speaker 2>duration file with studies that last only the span of

0:15:24.196 --> 0:15:25.916
<v Speaker 2>time that we have access to the brain within a

0:15:26.236 --> 0:15:30.636
<v Speaker 2>standard androsurgical procedure, which is relatively short. We anticipate having

0:15:30.676 --> 0:15:34.916
<v Speaker 2>ways of extending that with regulatory approval, to hopefully many

0:15:34.956 --> 0:15:37.956
<v Speaker 2>days and weeks within the calendar year. And then, of course,

0:15:37.996 --> 0:15:41.316
<v Speaker 2>this is all in the service of permanent implants that

0:15:41.636 --> 0:15:45.476
<v Speaker 2>wirelessly communicate with the outside world, and that will be

0:15:45.636 --> 0:15:48.116
<v Speaker 2>the basis of our pivotal clinical trial a couple of

0:15:48.156 --> 0:15:48.876
<v Speaker 2>years hence.

0:15:51.316 --> 0:15:53.796
<v Speaker 1>Still to come. On the show, Ben and I discussed

0:15:53.836 --> 0:15:57.916
<v Speaker 1>the possibility of using brain computer interfaces in healthy people,

0:15:58.716 --> 0:16:09.756
<v Speaker 1>also the meaning of consciousness. Just before the break, Ben

0:16:09.796 --> 0:16:12.996
<v Speaker 1>mentioned that pivotal clinical trial that they're building up to,

0:16:13.156 --> 0:16:15.236
<v Speaker 1>and so I asked him what exactly they're going to

0:16:15.276 --> 0:16:16.716
<v Speaker 1>be doing in that trial.

0:16:17.116 --> 0:16:19.556
<v Speaker 2>So the first clinical application is going to be for

0:16:19.556 --> 0:16:23.476
<v Speaker 2>the treatment of severe paralysis, okay, And the device will

0:16:23.516 --> 0:16:26.516
<v Speaker 2>be an implant that has the electrodes on the brain

0:16:26.716 --> 0:16:29.756
<v Speaker 2>and an implant within the chestwell that provides power and

0:16:29.836 --> 0:16:33.156
<v Speaker 2>data transfer to the outside world to communicate with the

0:16:33.156 --> 0:16:36.396
<v Speaker 2>external devices like a computer. And that system will allow,

0:16:36.476 --> 0:16:39.156
<v Speaker 2>for example, a person with a spinal cord injury really

0:16:39.156 --> 0:16:41.756
<v Speaker 2>to hold the desk job that will allow them to

0:16:41.916 --> 0:16:46.556
<v Speaker 2>operate effectively a word processing program, email, serve the internet,

0:16:46.876 --> 0:16:50.036
<v Speaker 2>have a zoom conversation, operate and expel a sales spreadsheet,

0:16:50.156 --> 0:16:53.916
<v Speaker 2>use PowerPoint, have the ability to re enter the workforce

0:16:54.276 --> 0:16:57.796
<v Speaker 2>with a level of personal and economic self sufficiency that

0:16:58.076 --> 0:17:01.196
<v Speaker 2>allows them to, you know, certain freedoms that they don't have,

0:17:01.356 --> 0:17:04.556
<v Speaker 2>and that our core to being a part of modern society.

0:17:04.876 --> 0:17:07.796
<v Speaker 2>That is, for us a major goal. Number one, I'm

0:17:07.836 --> 0:17:12.916
<v Speaker 2>quite sure that past the technolog becomes provenly safe and effective,

0:17:13.396 --> 0:17:17.076
<v Speaker 2>that other disorders and conditions that are perhaps less dramatic,

0:17:17.476 --> 0:17:20.236
<v Speaker 2>you know, will benefit from this and in other forms

0:17:20.276 --> 0:17:23.916
<v Speaker 2>of technology. And part three is there's a lot that

0:17:23.956 --> 0:17:26.116
<v Speaker 2>I'm sure that we're not even imagining right now. You know,

0:17:26.356 --> 0:17:30.076
<v Speaker 2>the brain computer interface, at least the precision system is

0:17:30.116 --> 0:17:33.476
<v Speaker 2>really in some ways a platform technology because it's it

0:17:33.636 --> 0:17:37.836
<v Speaker 2>translates the wet and difficult to access, delicate, you know,

0:17:37.876 --> 0:17:43.676
<v Speaker 2>biological signals of the brain into robust digital bitstreams and

0:17:43.756 --> 0:17:46.356
<v Speaker 2>allows us to compute on them in a scalable way.

0:17:46.676 --> 0:17:48.796
<v Speaker 2>The brain computer interface is not a substitute for a

0:17:48.836 --> 0:17:51.436
<v Speaker 2>keyboard in a mouse. It's not a substitute for a

0:17:51.556 --> 0:17:56.156
<v Speaker 2>gestural interface or a voice interface. It's another kind of

0:17:56.196 --> 0:17:59.436
<v Speaker 2>interface with the brain, just like it was would have

0:17:59.476 --> 0:18:01.996
<v Speaker 2>been impossible to predict based on the keyboard, a loan,

0:18:02.156 --> 0:18:05.476
<v Speaker 2>or the graphical user interface alone, all of the different

0:18:05.516 --> 0:18:08.516
<v Speaker 2>applications that have emerged. I think, as long as we

0:18:08.596 --> 0:18:13.356
<v Speaker 2>build a safe, reliable interface and make that responsibly available

0:18:13.756 --> 0:18:16.836
<v Speaker 2>kind of skuy's the limit. And I can't even hazard

0:18:16.876 --> 0:18:18.716
<v Speaker 2>to guess at some of the things that will come next.

0:18:18.756 --> 0:18:20.956
<v Speaker 2>So I think there's a there's a whole generation of

0:18:21.116 --> 0:18:23.996
<v Speaker 2>discovery and innovation waiting to happen after we get this

0:18:24.196 --> 0:18:27.276
<v Speaker 2>across the line into patients to become standard of care.

0:18:27.956 --> 0:18:30.756
<v Speaker 1>Could you imagine it being used in healthy people for

0:18:31.716 --> 0:18:35.476
<v Speaker 1>you know, the computer and the brain application.

0:18:35.836 --> 0:18:37.796
<v Speaker 2>Yeah, I could eventually, in a sense, I would love

0:18:37.796 --> 0:18:38.516
<v Speaker 2>that to be the case.

0:18:38.876 --> 0:18:42.476
<v Speaker 1>I think I'm ambivalent about that one. Tell me why

0:18:42.476 --> 0:18:43.196
<v Speaker 1>you'd love that to be.

0:18:43.156 --> 0:18:45.636
<v Speaker 2>The case, Well, because it will have meant that we've.

0:18:46.436 --> 0:18:48.876
<v Speaker 1>Well, yes, it'll mean your thing works really well, it

0:18:48.956 --> 0:18:49.956
<v Speaker 1>is wildly safe.

0:18:50.036 --> 0:18:52.556
<v Speaker 2>Yes, that's true, right, Yeah, So we build with that

0:18:52.636 --> 0:18:55.156
<v Speaker 2>goal in mind in a way, right, just because in

0:18:55.276 --> 0:18:58.436
<v Speaker 2>order for something to be accepted by an eble body

0:18:58.596 --> 0:19:03.316
<v Speaker 2>person who has zero risk tolerance, right and basically only downside,

0:19:03.436 --> 0:19:06.596
<v Speaker 2>if something goes wrong or doesn't work properly, you need

0:19:06.596 --> 0:19:09.996
<v Speaker 2>it to work just in a bulletproof way. That's that's

0:19:09.996 --> 0:19:12.676
<v Speaker 2>the kind of system that we're trying to engineer.

0:19:12.796 --> 0:19:15.836
<v Speaker 1>Yes, from that point of view, it makes perfect sense.

0:19:15.876 --> 0:19:18.556
<v Speaker 1>Then if that is true, then then you have built

0:19:18.556 --> 0:19:22.196
<v Speaker 1>a wildly safe and effective device exactly.

0:19:22.236 --> 0:19:23.916
<v Speaker 2>So, if you and I were having this conversation and

0:19:23.916 --> 0:19:25.676
<v Speaker 2>you said to me, gosh, I would love to write.

0:19:25.716 --> 0:19:27.876
<v Speaker 2>I mean that would mean that all those doubts had

0:19:27.916 --> 0:19:31.276
<v Speaker 2>been erased. And in order to erase those doubts, we

0:19:31.396 --> 0:19:33.476
<v Speaker 2>have to prove certain things to the world, and that's

0:19:33.516 --> 0:19:34.636
<v Speaker 2>that's really our job.

0:19:35.756 --> 0:19:39.276
<v Speaker 1>Would you would you want if you were healthy? Would

0:19:39.316 --> 0:19:41.596
<v Speaker 1>you want to have your device in your brain? If

0:19:41.636 --> 0:19:43.796
<v Speaker 1>it were safe and effective?

0:19:43.956 --> 0:19:46.436
<v Speaker 2>I would have to do certain things that that the

0:19:46.476 --> 0:19:49.196
<v Speaker 2>device can't do yet, yeah, rush, but I wouldn't definitely

0:19:49.196 --> 0:19:50.596
<v Speaker 2>wouldn't rerule it out when we get there. And I

0:19:50.596 --> 0:19:53.756
<v Speaker 2>mean it's like sometimes with technology, it's it's hard to

0:19:53.796 --> 0:19:55.916
<v Speaker 2>wrap your mind around what's going to happen in a generation,

0:19:56.156 --> 0:19:59.476
<v Speaker 2>right too little kids and we're always talking about like

0:19:59.676 --> 0:20:01.916
<v Speaker 2>should the kids actually get to use an iPhone?

0:20:02.356 --> 0:20:05.156
<v Speaker 1>Hold out for as long as you can so, right,

0:20:05.196 --> 0:20:07.876
<v Speaker 1>because so it's not exactly a choice, right, that's the

0:20:07.996 --> 0:20:10.116
<v Speaker 1>that's the thing you think, like, oh an iPhone?

0:20:10.156 --> 0:20:12.876
<v Speaker 2>That's my point. By the way, I'm very very permissive

0:20:13.556 --> 0:20:14.196
<v Speaker 2>and me too.

0:20:15.516 --> 0:20:17.916
<v Speaker 1>You know what finished me was COVID, Like we held

0:20:17.916 --> 0:20:21.396
<v Speaker 1>out really strong and then COVID hit did ason.

0:20:21.636 --> 0:20:23.476
<v Speaker 2>So but the reason I bring that up is that,

0:20:23.516 --> 0:20:26.676
<v Speaker 2>you know, like our parents could not even have conceived

0:20:26.836 --> 0:20:28.796
<v Speaker 2>of even that question, right.

0:20:28.756 --> 0:20:30.956
<v Speaker 1>Yes, But I mean the other way to think about

0:20:30.996 --> 0:20:34.236
<v Speaker 1>that is, like, you know, I'm pro progress and pro technology,

0:20:34.396 --> 0:20:39.316
<v Speaker 1>but like having kids makes me wish iPhones didn't exist, right,

0:20:39.436 --> 0:20:41.676
<v Speaker 1>makes me wish like, sure, give them a flip phone

0:20:41.716 --> 0:20:43.556
<v Speaker 1>so they can text their friends that call me if

0:20:43.596 --> 0:20:46.156
<v Speaker 1>something goes wrong. But well, you know, I don't know.

0:20:46.356 --> 0:20:48.556
<v Speaker 1>But on the other hand, I make podcasts for a little.

0:20:49.236 --> 0:20:52.396
<v Speaker 2>It's an interesting discussion, right, and you know, we sometimes joke,

0:20:52.476 --> 0:20:54.916
<v Speaker 2>but somehow kids are born now knowing how to swipe

0:20:54.956 --> 0:20:58.796
<v Speaker 2>and navigate the phone interface. Right. So my point is

0:20:58.836 --> 0:21:01.836
<v Speaker 2>that in twenty years it's going to be a different conversation.

0:21:02.196 --> 0:21:04.676
<v Speaker 2>There's a lot of kids of people in the company,

0:21:04.756 --> 0:21:07.356
<v Speaker 2>and they know what we're doing, you know, like girls

0:21:07.396 --> 0:21:09.796
<v Speaker 2>know what we're doing, and their view and the technology

0:21:09.836 --> 0:21:13.596
<v Speaker 2>is different. They see it as something that exists, and

0:21:13.636 --> 0:21:15.396
<v Speaker 2>when you're bored into it, you have kind of a

0:21:15.396 --> 0:21:18.236
<v Speaker 2>different sense of what's okay and what's normal. And that's

0:21:18.276 --> 0:21:20.996
<v Speaker 2>the generation that's growing up today is going to grow

0:21:21.076 --> 0:21:24.156
<v Speaker 2>up with bring computer interfaces just being a normal thing.

0:21:24.916 --> 0:21:28.436
<v Speaker 1>Yeah, maybe your grandkids will feel about bring computer interfaces

0:21:28.476 --> 0:21:30.076
<v Speaker 1>the way your kids feel about iPhones.

0:21:30.236 --> 0:21:31.516
<v Speaker 2>It's going to happen faster than that.

0:21:36.356 --> 0:21:38.436
<v Speaker 1>We'll be back in a minute with the lightning rim

0:21:48.876 --> 0:21:53.956
<v Speaker 1>tell me about the metabolic factors limiting performance in marathon runners.

0:21:54.556 --> 0:21:58.756
<v Speaker 2>Okay, right, so that was a paper that I wrote

0:21:58.916 --> 0:22:01.356
<v Speaker 2>now more than a decade ago. So I'm a dedicated

0:22:01.396 --> 0:22:05.156
<v Speaker 2>marathon runner and I run forty something marathons over twenty

0:22:05.396 --> 0:22:07.916
<v Speaker 2>plus years. There's a longer story, which we don't have

0:22:07.956 --> 0:22:10.196
<v Speaker 2>time for now, is to I wrote that paper.

0:22:10.236 --> 0:22:12.716
<v Speaker 1>Give me what's the short version of that story of

0:22:12.716 --> 0:22:13.596
<v Speaker 1>why you wrote the paper.

0:22:13.636 --> 0:22:16.396
<v Speaker 2>The short version is it shouldn't be metabolically possible to

0:22:16.476 --> 0:22:20.236
<v Speaker 2>run a marathon because interest everybody. Everybody thinks the paradox

0:22:20.316 --> 0:22:22.596
<v Speaker 2>is that you know, you can't eat enough pasta to

0:22:22.636 --> 0:22:23.956
<v Speaker 2>get through twenty six miles.

0:22:24.596 --> 0:22:26.996
<v Speaker 1>Uh, just like if you do the math, there's not

0:22:27.196 --> 0:22:29.236
<v Speaker 1>enough energy stored in the body.

0:22:28.956 --> 0:22:30.636
<v Speaker 2>If you do the simple math. There seems to be

0:22:30.636 --> 0:22:32.996
<v Speaker 2>a paradox that you can't you can't eat enough pasta

0:22:33.036 --> 0:22:34.676
<v Speaker 2>to run the marathon. Right, everybody thinks you got to

0:22:34.756 --> 0:22:36.796
<v Speaker 2>run eat passive before you run the marathon. It turns

0:22:36.836 --> 0:22:39.396
<v Speaker 2>out that can't really eat enough pasta to run a marathon.

0:22:39.876 --> 0:22:42.396
<v Speaker 2>So how is it even possible, okay, And the reason

0:22:42.436 --> 0:22:44.636
<v Speaker 2>it's possible is that you're burning some fat as you go.

0:22:45.116 --> 0:22:47.636
<v Speaker 2>And then everybody knows that there's this phenomenon of hitting

0:22:47.676 --> 0:22:51.236
<v Speaker 2>the wall where you know, many runners collapse or have

0:22:51.636 --> 0:22:54.116
<v Speaker 2>a major impact at some point, you know, along the way,

0:22:54.196 --> 0:22:55.916
<v Speaker 2>usually about two thirds the way through the race, where

0:22:55.956 --> 0:22:58.516
<v Speaker 2>they just can't keep going or it can't keep going

0:22:58.516 --> 0:23:01.276
<v Speaker 2>at the same pace that they started the race. And

0:23:01.316 --> 0:23:04.716
<v Speaker 2>why does that happen. That happens because they're not burning

0:23:04.876 --> 0:23:08.396
<v Speaker 2>carbohydrates as the fuel substrate, or they can't burn them

0:23:08.396 --> 0:23:10.716
<v Speaker 2>at the same rate that they started the race. So

0:23:11.076 --> 0:23:12.556
<v Speaker 2>how do you not hit the wall? How do you

0:23:12.596 --> 0:23:16.556
<v Speaker 2>avoid that phenomenon? And basically you need to run at

0:23:16.596 --> 0:23:20.476
<v Speaker 2>a pace that basically burns both fuel substrates fat and

0:23:20.556 --> 0:23:23.716
<v Speaker 2>the carbohydrate at a rate that basically you just exhaust

0:23:23.796 --> 0:23:28.076
<v Speaker 2>your carbohydrates stores at mile twenty six point two. So

0:23:28.156 --> 0:23:32.236
<v Speaker 2>that's one of the core rate limiting metabolic factors in marathon.

0:23:32.476 --> 0:23:34.876
<v Speaker 1>And that, I mean, so, what was it that you

0:23:34.956 --> 0:23:39.036
<v Speaker 1>figured out that got published in whatever it was Plus.

0:23:39.236 --> 0:23:43.116
<v Speaker 2>Yes, I figured that out, and I figured out how

0:23:43.116 --> 0:23:45.796
<v Speaker 2>to model that mathematically.

0:23:45.756 --> 0:23:48.596
<v Speaker 1>And did it affect the way people run?

0:23:48.636 --> 0:23:50.676
<v Speaker 2>Marathons well effected the way I run marathons?

0:23:50.956 --> 0:23:53.796
<v Speaker 1>And how did you change your running strategy based on

0:23:53.836 --> 0:23:54.676
<v Speaker 1>your own research?

0:23:55.316 --> 0:23:58.676
<v Speaker 2>I learned how to pace myself in a more quantitative way,

0:23:59.196 --> 0:24:02.036
<v Speaker 2>and I learned how to have a structure. My pre

0:24:02.156 --> 0:24:04.396
<v Speaker 2>race died and my training diet in a way that

0:24:04.636 --> 0:24:06.636
<v Speaker 2>was much better than I had in the years before that.

0:24:07.156 --> 0:24:07.996
<v Speaker 1>Did you get faster?

0:24:08.596 --> 0:24:09.876
<v Speaker 2>I got sick dificantly faster.

0:24:10.116 --> 0:24:10.316
<v Speaker 1>Yeah.

0:24:10.316 --> 0:24:12.596
<v Speaker 2>I run a bunch of some three hour marathons around

0:24:12.596 --> 0:24:14.316
<v Speaker 2>the time I figured that all out.

0:24:14.556 --> 0:24:16.196
<v Speaker 1>That is a very fast marathon.

0:24:16.276 --> 0:24:17.516
<v Speaker 2>And for a period of time, I don't know if

0:24:17.516 --> 0:24:20.516
<v Speaker 2>it's still the case, but maybe embarrassingly that was my

0:24:20.756 --> 0:24:23.676
<v Speaker 2>It still is I think my only single author paper,

0:24:24.196 --> 0:24:27.836
<v Speaker 2>and for a period of time it was most cited paper.

0:24:29.396 --> 0:24:32.076
<v Speaker 1>Well, you know, Einstein's most cited paper is the one

0:24:32.076 --> 0:24:35.796
<v Speaker 1>where he describes entanglement and basically says, this proves that

0:24:36.156 --> 0:24:38.676
<v Speaker 1>quantum is not a complete description of reality because there's

0:24:38.716 --> 0:24:41.516
<v Speaker 1>no way it could be true and he was wrong.

0:24:41.356 --> 0:24:45.916
<v Speaker 2>Right, can't aspire to that necessarily, But anyway.

0:24:46.156 --> 0:24:48.796
<v Speaker 1>What's one tip that comes out of that? Like, do

0:24:48.876 --> 0:24:50.796
<v Speaker 1>I is there like a model I could plug in?

0:24:50.876 --> 0:24:52.676
<v Speaker 1>I ran my first marathon this year. I did not

0:24:52.796 --> 0:24:56.476
<v Speaker 1>know about your paper. Is there something you can tell me,

0:24:56.556 --> 0:24:59.076
<v Speaker 1>just qualitatively from it that I'm doing wrong?

0:24:59.196 --> 0:25:02.236
<v Speaker 2>Yeah, take a look. There's a little formula there basically

0:25:02.276 --> 0:25:06.396
<v Speaker 2>that allows the average person to estimate their optimal marathon pace.

0:25:08.516 --> 0:25:10.636
<v Speaker 1>Boston ma On or New York Marathon. What do you

0:25:10.676 --> 0:25:11.076
<v Speaker 1>like better?

0:25:11.276 --> 0:25:13.676
<v Speaker 2>Well, you know, I'm a native. I've run both many times.

0:25:14.476 --> 0:25:18.636
<v Speaker 2>I've run Boston for the last twenty four years consecutively,

0:25:19.156 --> 0:25:21.316
<v Speaker 2>and I've run New York. I think, I forget now

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<v Speaker 2>how many times more than ten? And I love them both,

0:25:25.316 --> 0:25:27.076
<v Speaker 2>And I'm not going to go I'm not going to

0:25:27.116 --> 0:25:29.516
<v Speaker 2>say in public which one I love more. But they're

0:25:29.636 --> 0:25:34.076
<v Speaker 2>very different. They're very different, and yeah that's all. That's all.

0:25:34.076 --> 0:25:36.156
<v Speaker 2>That's all I'll say. But they are wonderful races and

0:25:37.076 --> 0:25:38.476
<v Speaker 2>a lot of special things about both.

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<v Speaker 1>What is one thing we don't understand about the brain

0:25:44.636 --> 0:25:45.996
<v Speaker 1>that you wish we understood?

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<v Speaker 2>So the question of what is consciousness? I think has

0:25:50.356 --> 0:25:54.236
<v Speaker 2>been a big one in philosophy and neuroscience for a

0:25:54.276 --> 0:25:56.916
<v Speaker 2>long long time. Right, you know, I think that the

0:25:57.076 --> 0:26:00.836
<v Speaker 2>tools of bring computer interfaces are probably have already given,

0:26:00.876 --> 0:26:02.956
<v Speaker 2>but certainly we'll be giving us in the next couple

0:26:02.996 --> 0:26:06.436
<v Speaker 2>of years ways to answer that in a really rigorous

0:26:06.476 --> 0:26:09.956
<v Speaker 2>and quantitative way. And not just that, but I think

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<v Speaker 2>to have an impact in disorders of consciousness, and so

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<v Speaker 2>I think that's an area where rank of beer interfaces

0:26:15.636 --> 0:26:19.396
<v Speaker 2>are going to have perhaps a surprisingly major impact.

0:26:20.716 --> 0:26:22.996
<v Speaker 1>What's a disorder of consciousness? I don't think I know

0:26:23.076 --> 0:26:25.516
<v Speaker 1>that phrase, like help me, what does that mean?

0:26:25.596 --> 0:26:27.836
<v Speaker 2>Well, you know, I think many people are familiar with

0:26:27.876 --> 0:26:31.156
<v Speaker 2>the koma, right, so people who are alive but not

0:26:31.636 --> 0:26:33.956
<v Speaker 2>compismentus in the in the ways that you and I

0:26:33.956 --> 0:26:37.196
<v Speaker 2>are when we're talking. That's just a dramatic example of that.

0:26:37.956 --> 0:26:40.716
<v Speaker 1>Has the work you've done, I mean, either as a

0:26:40.716 --> 0:26:44.756
<v Speaker 1>as a brand surgeon or as in developing brain computer interfaces,

0:26:44.836 --> 0:26:47.436
<v Speaker 1>how has that changed the way you think about consciousness?

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<v Speaker 2>If it has, I'm not sure it has yet, but

0:26:52.316 --> 0:26:53.876
<v Speaker 2>at least not in a race I want to talk about

0:26:53.956 --> 0:26:56.756
<v Speaker 2>in public. But I mean, watch this space carefully.

0:26:58.876 --> 0:27:01.916
<v Speaker 1>Say one more thing about that. That's it's very intriguing

0:27:01.956 --> 0:27:04.156
<v Speaker 1>to me. I feel like there's something you're thinking that

0:27:04.196 --> 0:27:04.876
<v Speaker 1>you're not saying.

0:27:05.196 --> 0:27:07.236
<v Speaker 2>I think a lot of it is public, and I

0:27:07.236 --> 0:27:10.796
<v Speaker 2>think in a really really interesting way. So i'd highlight

0:27:11.076 --> 0:27:14.876
<v Speaker 2>some recent work or recently published work by Negoschiff and

0:27:14.876 --> 0:27:18.916
<v Speaker 2>others demonstrating that some people who seem to be in

0:27:18.956 --> 0:27:21.996
<v Speaker 2>a minimally conscious state actually have the ability to communicate

0:27:22.156 --> 0:27:24.236
<v Speaker 2>if you give them the tools to do so, and

0:27:24.316 --> 0:27:30.396
<v Speaker 2>that just has profound implications for the diagnosis of certain

0:27:30.396 --> 0:27:34.276
<v Speaker 2>types of severe brain injury, for prognosticating, you know, the

0:27:34.276 --> 0:27:37.436
<v Speaker 2>subsequent course of people who have such injuries, and all

0:27:37.516 --> 0:27:41.316
<v Speaker 2>kinds of philosophical, ethical, and really just most importantly practical

0:27:41.356 --> 0:27:44.116
<v Speaker 2>aspects of how do we take care of people with

0:27:44.316 --> 0:27:47.236
<v Speaker 2>that kind of severe brain injury, many of whom pose

0:27:47.796 --> 0:27:52.836
<v Speaker 2>tremendously difficult questions to family and caregivers who can't predict

0:27:52.916 --> 0:27:55.916
<v Speaker 2>what's going to happen next and can't communicate with their

0:27:55.956 --> 0:27:59.516
<v Speaker 2>loved ones. And there's always this question in such situations,

0:27:59.556 --> 0:28:02.516
<v Speaker 2>you know, is that the person we knew still there?

0:28:03.316 --> 0:28:06.836
<v Speaker 2>And will that person come back, so to speak or not?

0:28:07.476 --> 0:28:11.916
<v Speaker 2>And answering that question, this is one aspect of getting

0:28:11.916 --> 0:28:14.956
<v Speaker 2>at what is consciousness and how does it flunctually and

0:28:14.996 --> 0:28:17.756
<v Speaker 2>how do we quantify it, and how do we read

0:28:17.956 --> 0:28:22.236
<v Speaker 2>or restore it when it's lost or damaged. So, you know,

0:28:22.396 --> 0:28:26.276
<v Speaker 2>that has been the realm of philosophy for most of

0:28:26.796 --> 0:28:30.156
<v Speaker 2>human history, and I think it is very exciting for

0:28:30.236 --> 0:28:33.996
<v Speaker 2>me now that's that's changed in the last several years.

0:28:34.036 --> 0:28:37.436
<v Speaker 2>And I do think that the technology of Breaker Beeterer

0:28:37.436 --> 0:28:39.996
<v Speaker 2>interfaces is going to have an impact in making some

0:28:40.036 --> 0:28:42.916
<v Speaker 2>of the discoveries that have come to light actionable.

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<v Speaker 1>Ben Rappaport is the co founder and chief science officer

0:28:53.316 --> 0:28:58.236
<v Speaker 1>at Precision Neuroscience. Today's show was produced by Gabriel hunter Cheng.

0:28:58.596 --> 0:29:01.916
<v Speaker 1>It was edited by Lyddya jene Kott and engineered by

0:29:01.956 --> 0:29:05.516
<v Speaker 1>Sarah Brumer. You can email us at problem at Pushkin

0:29:05.636 --> 0:29:08.796
<v Speaker 1>dot FM. I'm Jacob Goldstein and we'll be back next

0:29:08.836 --> 0:29:20.316
<v Speaker 1>week with another episode of What's Your Problem MHM.