WEBVTT 00:00:07.197 --> 00:00:10.028 This is the first time I've ever followed Pinky the Mouse. 00:00:10.028 --> 00:00:12.045 (Laughter) 00:00:12.045 --> 00:00:15.180 If nothing else should tell you that science can be fun, 00:00:15.180 --> 00:00:19.814 science can be counter-intuitive, science can blow your mind, 00:00:19.814 --> 00:00:22.166 and what I'm going to do in the next few minutes 00:00:22.166 --> 00:00:25.712 is to tell you that science can also save lives. 00:00:26.132 --> 00:00:28.636 So let's start with some good news. 00:00:28.636 --> 00:00:33.168 And the good news has to do with what we know based on biomedical research 00:00:33.168 --> 00:00:39.058 that actually has changed the outcomes for many very serious diseases. 00:00:40.585 --> 00:00:44.400 Start with Leukemia, acute lymphoblastic leukemia, ALL, 00:00:44.400 --> 00:00:47.995 the most common cancer of children. 00:00:47.995 --> 00:00:52.736 When I was a student, the mortality rate was about 95%. 00:00:52.927 --> 00:00:57.462 Today, some 25, 30 years later, we are talking about 00:00:57.462 --> 00:01:00.538 a mortality rate is reduced by 85%. 00:01:00.538 --> 00:01:03.051 Six thousand children each year 00:01:03.051 --> 00:01:06.691 who would have previously died of this disease are cured. 00:01:07.290 --> 00:01:10.206 If you want the really big numbers, 00:01:10.206 --> 00:01:13.891 look at the numbers for heart disease. 00:01:13.891 --> 00:01:16.028 Heart disease used to be the biggest killer 00:01:16.028 --> 00:01:17.487 particularly men in their 40s. 00:01:17.487 --> 00:01:22.010 Today we've seen a 63% reduction in mortality from heart disease. 00:01:22.901 --> 00:01:27.039 Remarkably 1.1 million deaths averted every year. 00:01:28.426 --> 00:01:31.489 AIDS, incredibly has just been named 00:01:31.489 --> 00:01:34.552 in the past month a chronic disease, 00:01:34.552 --> 00:01:37.616 meaning that a 20 years old who becomes infected with HIV 00:01:37.616 --> 00:01:41.027 is expected not to live weeks, months or a couple of years, 00:01:41.027 --> 00:01:43.492 as we said only a decade ago, 00:01:43.492 --> 00:01:45.880 but is thought to live for decades, 00:01:45.880 --> 00:01:50.183 probably to die in his 60s or 70s from other causes altogether. 00:01:51.460 --> 00:01:54.921 These are just remarkable, remarkable changes, 00:01:54.921 --> 00:01:58.036 in the outlook of some of the biggest killers. 00:01:58.036 --> 00:02:00.727 One in particular that you probably wouldn't know about, 00:02:00.727 --> 00:02:03.160 stroke, which has been, along with heart disease, 00:02:03.160 --> 00:02:06.224 one of the biggest killers in the country along with cancer, 00:02:06.224 --> 00:02:10.801 is a disease we know now if you can get people into the hospital, 00:02:10.801 --> 00:02:13.998 into the emergency room within three hours of the onset, 00:02:13.998 --> 00:02:18.661 some 30% of them will leave the hospital without any disabilities whatsoever. 00:02:20.881 --> 00:02:25.816 Remarkable stories, good news stories, all of which boil down to 00:02:25.816 --> 00:02:30.359 understanding something about the diseases that has allowed us 00:02:30.359 --> 00:02:33.954 to detect early and intervene early. 00:02:34.633 --> 00:02:37.307 Early detection and early intervention. 00:02:37.307 --> 00:02:41.005 That's the story for these successes across the board. 00:02:41.005 --> 00:02:44.140 And it tells you how biomedical research 00:02:44.140 --> 00:02:48.515 can really change the picture for millions and millions of people. 00:02:49.803 --> 00:02:53.268 Unfortunately the news is not all good. 00:02:53.268 --> 00:02:57.669 Let's talk about one other story which has to do with suicide. 00:02:57.669 --> 00:03:00.876 Now this is of course not a disease per se. 00:03:00.876 --> 00:03:04.723 It's a condition or a situation that leads to mortality. 00:03:05.224 --> 00:03:08.558 Which you may not realize is how prevalent it is today. 00:03:08.558 --> 00:03:12.641 There are 38,000 suicides each year in the United States. 00:03:12.641 --> 00:03:15.416 That means one in about 15 minutes. 00:03:15.416 --> 00:03:19.542 The third most common cause of death among people between ages of 15 and 25. 00:03:20.376 --> 00:03:22.826 It's kind of an extraordinary story when you realize 00:03:22.826 --> 00:03:25.848 that this is twice as common as homicide, 00:03:25.848 --> 00:03:29.068 and actually more common as a source of death 00:03:29.068 --> 00:03:32.392 than traffic fatalities in this country. 00:03:33.205 --> 00:03:37.678 Now when we talk about suicide, there is also a medical contribution here. 00:03:37.678 --> 00:03:42.389 Because 90% of suicides are related to a mental illness, 00:03:42.389 --> 00:03:46.175 depression, bipolar disorder, schizophrenia, 00:03:47.264 --> 00:03:49.877 anorexia, borderline personality, 00:03:49.877 --> 00:03:53.210 there's a long list of disorders that contribute, 00:03:53.210 --> 00:03:56.813 and as I mentioned before, often early in life. 00:03:56.813 --> 00:04:00.309 And it's not just the mortality from these disorders. 00:04:00.309 --> 00:04:03.848 It's also morbidity. If you look at disability, 00:04:04.111 --> 00:04:07.207 here as measured by the World Health Organization, 00:04:07.207 --> 00:04:10.755 something they called "Disability Adjusted Life Years." 00:04:10.755 --> 00:04:13.183 It's kind of a metric that nobody would think of 00:04:13.183 --> 00:04:15.031 except an economist. 00:04:15.031 --> 00:04:17.879 Except it's one way of trying to capture what is lost 00:04:17.879 --> 00:04:21.289 in terms of disability from medical causes. 00:04:21.289 --> 00:04:24.589 And as you can see virtually 30% of all disabilities 00:04:24.589 --> 00:04:26.582 from all medical causes 00:04:26.582 --> 00:04:31.190 can be attributed to mental disorders or neuro psychiatric syndromes. 00:04:32.208 --> 00:04:34.620 You're probably thinking that doesn't make any sense. 00:04:34.620 --> 00:04:37.513 I mean cancer seems far more serious. 00:04:37.513 --> 00:04:40.406 Heart disease seems far more serious. 00:04:40.406 --> 00:04:43.300 But you can see actually they're further down this list. 00:04:43.300 --> 00:04:46.258 That is because we are talking about disability. 00:04:46.258 --> 00:04:49.367 What drives disability for these disorders like 00:04:49.367 --> 00:04:52.062 schizophrenia and bipolar disorder and depression? 00:04:52.827 --> 00:04:55.806 Why are they number one here? 00:04:55.806 --> 00:04:57.548 Probably there are three reasons. 00:04:57.548 --> 00:04:59.238 One is that they're highly prevalent. 00:04:59.238 --> 00:05:01.323 About one in five people will suffer 00:05:01.323 --> 00:05:04.991 from one of these disorders in the course of their life time. 00:05:04.991 --> 00:05:07.199 The second of course is that for some people 00:05:07.199 --> 00:05:09.407 these become truly disabling. 00:05:09.407 --> 00:05:11.543 It's about 4 to 5%, 00:05:11.543 --> 00:05:16.767 that's one in 20, are truly disabled by one of these illnesses. 00:05:16.767 --> 00:05:19.554 But what really drives these numbers, 00:05:19.554 --> 00:05:22.678 this high morbidity and to some extent the high mortality, 00:05:23.468 --> 00:05:26.544 is the fact that these start very early in life. 00:05:26.544 --> 00:05:31.627 Fifty percent will have onset by age 14, 75% by age 24. 00:05:32.494 --> 00:05:35.925 A picture that is very different from that what one would see 00:05:35.925 --> 00:05:39.758 if we are talking about cancer or heart disease, diabetes, hypertension, 00:05:39.758 --> 00:05:43.898 most of the major illnesses that we think about, 00:05:43.898 --> 00:05:46.868 as being sources of mobility and mortality. 00:05:46.868 --> 00:05:51.343 These are indeed the chronic disorders of young people. 00:05:52.563 --> 00:05:55.823 Now I started by telling you that there are some good news stories. 00:05:55.823 --> 00:05:57.467 This is obviously not one of them. 00:05:57.467 --> 00:05:58.897 This is the part of what is, 00:05:58.897 --> 00:06:01.393 perhaps the most difficult since 00:06:01.393 --> 00:06:03.834 this is kind of confession for me. 00:06:03.834 --> 00:06:06.711 My job is to actually make sure 00:06:06.711 --> 00:06:10.777 that we make progress on all of these disorders, 00:06:10.777 --> 00:06:12.768 because I work for the Federal Government. 00:06:12.768 --> 00:06:15.291 I actually work for you. You pay my salary. 00:06:15.291 --> 00:06:17.287 Maybe at this point, when you know what I do 00:06:17.287 --> 00:06:20.727 or maybe what I've failed to do, you'll think I probably ought to be fired. 00:06:20.738 --> 00:06:22.830 I could certainly understand that. 00:06:22.840 --> 00:06:24.499 But what I want to suggest, 00:06:24.499 --> 00:06:26.754 and the reason I am here is to tell you 00:06:26.754 --> 00:06:30.041 that I think we are about to be in a very different world 00:06:30.041 --> 00:06:33.284 as we think about these illnesses. 00:06:33.284 --> 00:06:36.824 And that is, to some extent, going to be dependent 00:06:36.824 --> 00:06:39.294 on the work you'll hear about today. 00:06:39.294 --> 00:06:41.686 That's going to be really exciting, 00:06:41.710 --> 00:06:45.307 technically truly transformative. 00:06:47.385 --> 00:06:50.116 But the point I want to make is that 00:06:50.116 --> 00:06:54.002 the most important transformation here is a conceptual one. 00:06:56.375 --> 00:06:58.732 What I've been talking to you about so far 00:06:58.732 --> 00:07:01.722 is mental disorders, diseases of the mind. 00:07:02.600 --> 00:07:06.082 That's actually becoming a rather unpopular term these days. 00:07:06.094 --> 00:07:08.768 And people feel that, for whatever the reason, 00:07:08.768 --> 00:07:11.908 it's politically better to use the term "behavioral disorders", 00:07:11.908 --> 00:07:15.196 and to talk about these as disorders of behavior. 00:07:15.992 --> 00:07:18.317 Fair enough, they are disorders of behavior 00:07:18.317 --> 00:07:20.494 and they are disorders of the mind. 00:07:20.494 --> 00:07:23.783 But what I want to suggest to you is that both of those terms 00:07:23.783 --> 00:07:26.363 which have been in play for a century or more, 00:07:26.363 --> 00:07:29.549 are actually now impediments to progress. 00:07:30.222 --> 00:07:34.106 That what we need conceptually to make a progress here 00:07:34.106 --> 00:07:38.652 is to rethink these disorders as brain disorders. 00:07:39.672 --> 00:07:42.202 Now some of you are going to say, 00:07:42.202 --> 00:07:44.747 "Oh my goodness. Here we go again, 00:07:44.747 --> 00:07:47.203 We are going to hear about biochemical imbalance. 00:07:47.203 --> 00:07:49.568 We are going to hear about drugs. 00:07:49.568 --> 00:07:52.580 We are going to hear about some very simplistic notion, 00:07:52.580 --> 00:07:57.711 that will take our subjective experience and turn it into molecules, 00:07:58.801 --> 00:08:04.496 or maybe into some sort of very flat uni-dimensional understanding 00:08:06.691 --> 00:08:10.218 of what it is to have depression or schizophrenia." 00:08:11.517 --> 00:08:13.148 Over the course of the day 00:08:13.148 --> 00:08:16.531 you are going to hear that when we talk about the brain 00:08:16.531 --> 00:08:21.242 it is anything but uni-dimensional, or simplistic or reductionistic. 00:08:21.242 --> 00:08:25.080 It depends, of course, on what scale 00:08:25.080 --> 00:08:27.278 or what scope you think about. 00:08:27.278 --> 00:08:32.443 But this is an organ of surreal complexity. 00:08:34.872 --> 00:08:38.235 And we are just beginning to understand, 00:08:38.235 --> 00:08:40.327 how to even study it, 00:08:40.327 --> 00:08:43.528 whether you are thinking about a hundred billion neurons in the cortex 00:08:43.528 --> 00:08:45.388 or a hundred trillion synapses 00:08:45.388 --> 00:08:48.192 that make up all the connections. 00:08:48.192 --> 00:08:51.365 We have just begun to try to figure out 00:08:51.365 --> 00:08:54.515 how we take this very complex machine 00:08:54.531 --> 00:08:58.220 that does extraordinary kinds of information processing 00:08:58.220 --> 00:09:02.420 and use our own minds to understand the very complex brain 00:09:02.420 --> 00:09:04.928 that supports it, that supports our own mind. 00:09:04.928 --> 00:09:08.269 It's actually kind of cruel trick of evolution 00:09:08.269 --> 00:09:11.023 that we simply don't have a brain 00:09:11.023 --> 00:09:13.967 that seems to be wired well enough to understand itself. 00:09:13.967 --> 00:09:17.192 But we are making progress, and because of some of the technologies 00:09:17.192 --> 00:09:18.467 you hear about today, 00:09:18.467 --> 00:09:21.829 we are actually able to begin to string this together. 00:09:21.829 --> 00:09:24.272 In a sense it actually makes you feel that 00:09:24.272 --> 00:09:27.210 when you are in a safe zone studying behavior and cognition, 00:09:27.210 --> 00:09:28.820 something you can observe, 00:09:28.820 --> 00:09:31.379 that in a way feels more simplistic and reductionistic 00:09:31.379 --> 00:09:36.099 than trying to engage this very complex and mysterious organ 00:09:36.099 --> 00:09:39.279 that we are beginning to try to understand. 00:09:39.279 --> 00:09:43.332 Now already in a case of the brain disorders 00:09:45.374 --> 00:09:47.074 that I've been talking to you about, 00:09:47.074 --> 00:09:51.732 depression, obsessive compulsive disorder, post traumatic stress disorder, 00:09:51.732 --> 00:09:54.788 we don't have an in-depth understanding 00:09:54.788 --> 00:09:57.746 of how they are abnormally processed 00:09:57.746 --> 00:10:00.506 or what the brain is doing in those illnesses. 00:10:00.545 --> 00:10:05.851 We've been able to already identify some of the connectional differences. 00:10:06.145 --> 00:10:09.221 Some of the ways of which the circuitry is different 00:10:09.221 --> 00:10:11.538 for people who have these disorders. 00:10:11.538 --> 00:10:13.731 We call this the "Human Connectome." 00:10:13.731 --> 00:10:17.499 You can think about Connectome, as the wiring diagram of the brain. 00:10:17.499 --> 00:10:20.479 You'll hear more about it in a few minutes. 00:10:20.785 --> 00:10:24.493 The important piece here is that as you begin to look 00:10:24.493 --> 00:10:26.913 at people who have these disorders, 00:10:26.913 --> 00:10:29.918 the one in five of us who struggle in some way, 00:10:29.918 --> 00:10:32.203 you'll find that there's a lot of variation 00:10:32.203 --> 00:10:37.290 in the way the brain is wired but there are some predictable patterns. 00:10:37.290 --> 00:10:39.774 Those patterns are risk factors 00:10:39.774 --> 00:10:42.582 for developing one of these disorders. 00:10:42.582 --> 00:10:45.687 It's a little different than the way we think about brain disorders 00:10:45.687 --> 00:10:48.081 like Huntington's, Parkinson’s or Alzheimer's disease 00:10:48.081 --> 00:10:50.223 where you have a bombed out part of your cortex. 00:10:50.223 --> 00:10:53.054 Here we are talking about traffic jams or sometimes detours 00:10:53.054 --> 00:10:55.885 or sometimes problems with just the way things are connected 00:10:55.885 --> 00:10:57.660 and the way the brain functions, 00:10:57.660 --> 00:10:59.958 you could if you want compare this to, 00:11:00.329 --> 00:11:02.964 on the one hand, a myocardial infarction - a heart attack 00:11:02.964 --> 00:11:05.334 where you have dead tissue in the heart 00:11:05.334 --> 00:11:08.733 versus arrhythmia where the organ simply isn't functioning 00:11:08.733 --> 00:11:11.032 because of the communication problems within it. 00:11:11.032 --> 00:11:12.313 Either one would kill you, 00:11:12.313 --> 00:11:15.130 and in only one of them will you find a major lesion. 00:11:15.134 --> 00:11:16.794 As we think about this, 00:11:16.794 --> 00:11:18.593 maybe it's better to actually go 00:11:18.593 --> 00:11:20.632 a little deeper into one particular disorder. 00:11:20.632 --> 00:11:22.192 That would be schizophrenia. 00:11:22.192 --> 00:11:24.870 I think that's a good case for helping to understand 00:11:24.870 --> 00:11:28.180 why thinking of this as a brain disorder matters. 00:11:28.180 --> 00:11:32.228 Schizophrenia is a disorder that generally comes on by 00:11:32.235 --> 00:11:35.579 in terms of the psychotic symptoms, 00:11:35.579 --> 00:11:37.320 which is the way we diagnose it, 00:11:37.320 --> 00:11:39.565 delusions, hallucination, problems with thinking 00:11:39.565 --> 00:11:41.014 problems with attention, 00:11:41.014 --> 00:11:43.614 generally around age of 18 to 22, 23, 24. 00:11:45.753 --> 00:11:49.025 These are scans from Judie Rapoport and her colleagues 00:11:49.025 --> 00:11:51.663 at the National Institute of Mental Health, 00:11:51.663 --> 00:11:55.241 in which they studied children with very early onset schizophrenia. 00:11:55.241 --> 00:11:57.860 And you can see already in the top there are areas 00:11:57.860 --> 00:12:00.159 that are red, orange and yellow, 00:12:00.159 --> 00:12:02.291 there's places with less gray matter. 00:12:02.291 --> 00:12:04.259 And as they follow them over 5 years 00:12:04.259 --> 00:12:06.517 comparing them to age-match controls, 00:12:06.517 --> 00:12:08.489 you can see that, particularly in areas 00:12:08.489 --> 00:12:11.119 like the dorsal lateral prefrontal cortex 00:12:11.119 --> 00:12:13.402 or the superior temporal gyrus, 00:12:13.402 --> 00:12:15.670 there is a profound loss of gray matter. 00:12:15.670 --> 00:12:17.086 This is important. 00:12:17.086 --> 00:12:19.696 It's important if you try to model this. 00:12:19.696 --> 00:12:21.347 You can think about 00:12:21.347 --> 00:12:23.750 normal development as a loss of cortical mass, 00:12:23.750 --> 00:12:25.896 loss of cortical gray matter. 00:12:25.896 --> 00:12:27.511 What's happening in schizophrenia 00:12:27.511 --> 00:12:29.145 is that you overshoot that mark 00:12:29.145 --> 00:12:30.838 and at some point when you overshoot 00:12:30.838 --> 00:12:33.145 you cross a threshold, and it's that threshold 00:12:33.145 --> 00:12:36.525 where we say this is a person who has this disease 00:12:36.525 --> 00:12:39.279 because they have the behavioral symptoms, 00:12:39.279 --> 00:12:41.309 of hallucinations and delusions. 00:12:41.309 --> 00:12:43.021 That's something we can observe. 00:12:43.021 --> 00:12:44.420 But look at this closely. 00:12:44.420 --> 00:12:48.525 You can see that actually they've crossed a different threshold. 00:12:48.567 --> 00:12:51.607 They crossed a brain threshold much earlier. 00:12:51.686 --> 00:12:55.079 That perhaps not at the age 22 or 20 00:12:55.175 --> 00:12:57.013 but even by age 15 or 16, 00:12:57.013 --> 00:13:00.943 you can begin to see that the trajectory for development is quite different 00:13:00.943 --> 00:13:04.990 at the level of the brain not at the level of behavior. 00:13:05.305 --> 00:13:06.706 Why does this matter? 00:13:06.706 --> 00:13:10.699 Well first because for brain disorders, behavior is the last thing to change. 00:13:10.699 --> 00:13:14.004 We know that for Alzheimer's, Parkinson's, for Huntington's. 00:13:14.004 --> 00:13:16.446 There are changes in the brain a decade or more 00:13:16.446 --> 00:13:20.494 before you see the first signs of a behavioral change. 00:13:20.494 --> 00:13:23.774 The tools we have, and you'll hear much more about this 00:13:23.774 --> 00:13:25.283 in the course of the day, 00:13:25.283 --> 00:13:27.683 they are getting better every year, 00:13:27.683 --> 00:13:31.456 now allow us to detect these brain changes much earlier, 00:13:31.456 --> 00:13:34.057 long before the symptoms emerge. 00:13:34.057 --> 00:13:37.497 But most importantly, go back to where we started. 00:13:37.497 --> 00:13:40.709 The good news stories in medicine 00:13:40.709 --> 00:13:44.488 are early detection, early intervention. 00:13:44.488 --> 00:13:48.441 If we waited until the heart attack 00:13:48.441 --> 00:13:51.487 we would be sacrificing 1.1 million lives 00:13:51.487 --> 00:13:53.807 every year in this country to heart disease. 00:13:53.807 --> 00:13:56.736 That is precisely what we do today. 00:13:56.736 --> 00:14:01.074 When we decide that everybody with one of these brain disorders, 00:14:01.074 --> 00:14:04.300 brain circuit disorders, has a behavioral disorder 00:14:04.300 --> 00:14:07.563 we wait until the behavior becomes manifest. 00:14:07.563 --> 00:14:11.444 That's not early detection. That's not early intervention. 00:14:11.538 --> 00:14:13.868 Now to be clear, we are not quite ready to do this. 00:14:13.868 --> 00:14:15.528 We don't have all the facts. 00:14:15.528 --> 00:14:18.871 We don't actually even know what the tools would be 00:14:18.871 --> 00:14:23.016 nor what to precisely look for in every case. 00:14:23.016 --> 00:14:26.816 to be able to get there before the behavior emerges as different. 00:14:27.741 --> 00:14:31.357 But this tells us how we need to think about it and where we need to go. 00:14:31.357 --> 00:14:32.985 Are we going to be there soon? 00:14:32.985 --> 00:14:35.711 I think that this is something that will happen 00:14:35.711 --> 00:14:38.019 over the course of the next few years 00:14:38.019 --> 00:14:40.033 but I'd like to finish with the quote 00:14:40.033 --> 00:14:42.231 about trying to predict how this will happen, 00:14:42.231 --> 00:14:44.815 by somebody who's thought a lot about changes 00:14:44.815 --> 00:14:46.647 in concepts and changes in technology. 00:14:46.647 --> 00:14:50.126 "We always overestimate the change that will occur in the next two years 00:14:50.126 --> 00:14:52.776 and underestimate the change 00:14:52.776 --> 00:14:55.656 that will occur in the next ten." Bill Gates. 00:14:55.656 --> 00:14:57.377 Thanks very much. 00:14:57.377 --> 00:14:59.321 (Applause)