1 00:00:00,530 --> 00:00:03,491 So let's start with some good news, 2 00:00:03,491 --> 00:00:05,840 and the good news has to do with what do we know 3 00:00:05,840 --> 00:00:08,107 based on biomedical research 4 00:00:08,107 --> 00:00:11,561 that actually has changed the outcomes 5 00:00:11,561 --> 00:00:14,660 for many very serious diseases? 6 00:00:14,660 --> 00:00:16,907 Let's start with leukemia, 7 00:00:16,907 --> 00:00:19,435 acute lymphoblastic leukemia, ALL, 8 00:00:19,435 --> 00:00:21,873 the most common cancer of children. 9 00:00:21,873 --> 00:00:23,835 When I was a student, 10 00:00:23,835 --> 00:00:27,675 the mortality rate was about 95 percent. 11 00:00:27,675 --> 00:00:30,808 Today, some 25, 30 years later, we're talking about 12 00:00:30,808 --> 00:00:34,435 a mortality rate that's reduced by 85 percent. 13 00:00:34,435 --> 00:00:37,051 Six thousand children each year 14 00:00:37,051 --> 00:00:41,240 who would have previously died of this disease are cured. 15 00:00:41,240 --> 00:00:43,031 If you want the really big numbers, 16 00:00:43,031 --> 00:00:45,859 look at these numbers for heart disease. 17 00:00:45,859 --> 00:00:47,651 Heart disease used to be the biggest killer, 18 00:00:47,651 --> 00:00:49,155 particularly for men in their 40s. 19 00:00:49,155 --> 00:00:52,649 Today, we've seen a 63-percent reduction in mortality 20 00:00:52,649 --> 00:00:54,710 from heart disease -- 21 00:00:54,710 --> 00:00:59,595 remarkably, 1.1 million deaths averted every year. 22 00:00:59,595 --> 00:01:02,316 AIDS, incredibly, has just been named, 23 00:01:02,316 --> 00:01:04,597 in the past month, a chronic disease, 24 00:01:04,597 --> 00:01:07,512 meaning that a 20-year-old who becomes infected with HIV 25 00:01:07,512 --> 00:01:11,583 is expected not to live weeks, months, or a couple of years, 26 00:01:11,583 --> 00:01:13,853 as we said only a decade ago, 27 00:01:13,853 --> 00:01:16,245 but is thought to live decades, 28 00:01:16,245 --> 00:01:20,741 probably to die in his '60s or '70s from other causes altogether. 29 00:01:20,741 --> 00:01:23,766 These are just remarkable, remarkable changes 30 00:01:23,766 --> 00:01:26,355 in the outlook for some of the biggest killers. 31 00:01:26,355 --> 00:01:28,434 And one in particular 32 00:01:28,434 --> 00:01:30,479 that you probably wouldn't know about, stroke, 33 00:01:30,479 --> 00:01:32,080 which has been, along with heart disease, 34 00:01:32,080 --> 00:01:34,258 one of the biggest killers in this country, 35 00:01:34,258 --> 00:01:36,049 is a disease in which now we know 36 00:01:36,049 --> 00:01:38,978 that if you can get people into the emergency room 37 00:01:38,978 --> 00:01:41,152 within three hours of the onset, 38 00:01:41,152 --> 00:01:43,757 some 30 percent of them will be able to leave the hospital 39 00:01:43,757 --> 00:01:46,876 without any disability whatsoever. 40 00:01:46,876 --> 00:01:49,133 Remarkable stories, 41 00:01:49,133 --> 00:01:51,164 good-news stories, 42 00:01:51,164 --> 00:01:54,229 all of which boil down to understanding 43 00:01:54,229 --> 00:01:57,581 something about the diseases that has allowed us 44 00:01:57,581 --> 00:02:00,904 to detect early and intervene early. 45 00:02:00,904 --> 00:02:03,039 Early detection, early intervention, 46 00:02:03,039 --> 00:02:06,109 that's the story for these successes. 47 00:02:06,109 --> 00:02:08,845 Unfortunately, the news is not all good. 48 00:02:08,845 --> 00:02:11,194 Let's talk about one other story 49 00:02:11,194 --> 00:02:12,885 which has to do with suicide. 50 00:02:12,885 --> 00:02:15,537 Now this is, of course, not a disease, per se. 51 00:02:15,537 --> 00:02:18,625 It's a condition, or it's a situation 52 00:02:18,625 --> 00:02:20,414 that leads to mortality. 53 00:02:20,414 --> 00:02:23,494 What you may not realize is just how prevalent it is. 54 00:02:23,494 --> 00:02:27,703 There are 38,000 suicides each year in the United States. 55 00:02:27,703 --> 00:02:30,461 That means one about every 15 minutes. 56 00:02:30,461 --> 00:02:33,237 Third most common cause of death amongst people 57 00:02:33,237 --> 00:02:36,013 between the ages of 15 and 25. 58 00:02:36,013 --> 00:02:38,261 It's kind of an extraordinary story when you realize 59 00:02:38,261 --> 00:02:40,773 that this is twice as common as homicide 60 00:02:40,773 --> 00:02:43,422 and actually more common as a source of death 61 00:02:43,422 --> 00:02:46,757 than traffic fatalities in this country. 62 00:02:46,757 --> 00:02:49,389 Now, when we talk about suicide, 63 00:02:49,389 --> 00:02:52,501 there is also a medical contribution here, 64 00:02:52,501 --> 00:02:54,933 because 90 percent of suicides 65 00:02:54,933 --> 00:02:56,703 are related to a mental illness: 66 00:02:56,703 --> 00:02:59,749 depression, bipolar disorder, schizophrenia, 67 00:02:59,749 --> 00:03:02,807 anorexia, borderline personality. There's a long list 68 00:03:02,808 --> 00:03:04,917 of disorders that contribute, 69 00:03:04,917 --> 00:03:08,941 and as I mentioned before, often early in life. 70 00:03:08,941 --> 00:03:12,145 But it's not just the mortality from these disorders. 71 00:03:12,145 --> 00:03:13,787 It's also morbidity. 72 00:03:13,787 --> 00:03:16,048 If you look at disability, 73 00:03:16,048 --> 00:03:18,200 as measured by the World Health Organization 74 00:03:18,200 --> 00:03:21,725 with something they call the Disability Adjusted Life Years, 75 00:03:21,725 --> 00:03:23,821 it's kind of a metric that nobody would think of 76 00:03:23,821 --> 00:03:25,135 except an economist, 77 00:03:25,135 --> 00:03:28,577 except it's one way of trying to capture what is lost 78 00:03:28,577 --> 00:03:31,760 in terms of disability from medical causes, 79 00:03:31,760 --> 00:03:34,653 and as you can see, virtually 30 percent 80 00:03:34,653 --> 00:03:36,917 of all disability from all medical causes 81 00:03:36,917 --> 00:03:39,477 can be attributed to mental disorders, 82 00:03:39,477 --> 00:03:41,861 neuropsychiatric syndromes. 83 00:03:41,861 --> 00:03:44,013 You're probably thinking that doesn't make any sense. 84 00:03:44,013 --> 00:03:46,685 I mean, cancer seems far more serious. 85 00:03:46,685 --> 00:03:49,717 Heart disease seems far more serious. 86 00:03:49,717 --> 00:03:52,757 But you can see actually they are further down this list, 87 00:03:52,757 --> 00:03:55,037 and that's because we're talking here about disability. 88 00:03:55,037 --> 00:03:57,829 What drives the disability for these disorders 89 00:03:57,829 --> 00:04:01,733 like schizophrenia and bipolar and depression? 90 00:04:01,733 --> 00:04:04,708 Why are they number one here? 91 00:04:04,708 --> 00:04:06,217 Well, there are probably three reasons. 92 00:04:06,217 --> 00:04:08,189 One is that they're highly prevalent. 93 00:04:08,189 --> 00:04:11,484 About one in five people will suffer from one of these disorders 94 00:04:11,484 --> 00:04:14,061 in the course of their lifetime. 95 00:04:14,061 --> 00:04:16,381 A second, of course, is that, for some people, 96 00:04:16,381 --> 00:04:17,965 these become truly disabling, 97 00:04:17,965 --> 00:04:21,093 and it's about four to five percent, perhaps one in 20. 98 00:04:21,093 --> 00:04:25,357 But what really drives these numbers, this high morbidity, 99 00:04:25,357 --> 00:04:27,786 and to some extent the high mortality, 100 00:04:27,786 --> 00:04:31,734 is the fact that these start very early in life. 101 00:04:31,734 --> 00:04:34,829 Fifty percent will have onset by age 14, 102 00:04:34,829 --> 00:04:37,949 75 percent by age 24, 103 00:04:37,949 --> 00:04:41,414 a picture that is very different than what one would see 104 00:04:41,414 --> 00:04:43,685 if you're talking about cancer or heart disease, 105 00:04:43,685 --> 00:04:47,085 diabetes, hypertension -- most of the major illnesses 106 00:04:47,085 --> 00:04:51,181 that we think about as being sources of morbidity and mortality. 107 00:04:51,181 --> 00:04:57,491 These are, indeed, the chronic disorders of young people. 108 00:04:57,491 --> 00:05:00,358 Now, I started by telling you that there were some good-news stories. 109 00:05:00,358 --> 00:05:01,806 This is obviously not one of them. 110 00:05:01,806 --> 00:05:04,685 This is the part of it that is perhaps most difficult, 111 00:05:04,685 --> 00:05:07,269 and in a sense this is a kind of confession for me. 112 00:05:07,269 --> 00:05:12,621 My job is to actually make sure that we make progress 113 00:05:12,621 --> 00:05:14,973 on all of these disorders. 114 00:05:14,973 --> 00:05:16,683 I work for the federal government. 115 00:05:16,683 --> 00:05:18,701 Actually, I work for you. You pay my salary. 116 00:05:18,701 --> 00:05:21,085 And maybe at this point, when you know what I do, 117 00:05:21,085 --> 00:05:23,205 or maybe what I've failed to do, 118 00:05:23,205 --> 00:05:25,414 you'll think that I probably ought to be fired, 119 00:05:25,414 --> 00:05:27,569 and I could certainly understand that. 120 00:05:27,569 --> 00:05:29,901 But what I want to suggest, and the reason I'm here 121 00:05:29,901 --> 00:05:33,156 is to tell you that I think we're about to be 122 00:05:33,156 --> 00:05:37,819 in a very different world as we think about these illnesses. 123 00:05:37,819 --> 00:05:40,925 What I've been talking to you about so far is mental disorders, 124 00:05:40,925 --> 00:05:42,641 diseases of the mind. 125 00:05:42,641 --> 00:05:46,037 That's actually becoming a rather unpopular term these days, 126 00:05:46,037 --> 00:05:48,237 and people feel that, for whatever reason, 127 00:05:48,237 --> 00:05:51,614 it's politically better to use the term behavioral disorders 128 00:05:51,614 --> 00:05:55,525 and to talk about these as disorders of behavior. 129 00:05:55,525 --> 00:05:57,792 Fair enough. They are disorders of behavior, 130 00:05:57,792 --> 00:05:59,792 and they are disorders of the mind. 131 00:05:59,792 --> 00:06:02,197 But what I want to suggest to you 132 00:06:02,197 --> 00:06:03,949 is that both of those terms, 133 00:06:03,949 --> 00:06:06,967 which have been in play for a century or more, 134 00:06:06,967 --> 00:06:09,787 are actually now impediments to progress, 135 00:06:09,787 --> 00:06:14,117 that what we need conceptually to make progress here 136 00:06:14,117 --> 00:06:19,325 is to rethink these disorders as brain disorders. 137 00:06:19,325 --> 00:06:21,187 Now, for some of you, you're going to say, 138 00:06:21,187 --> 00:06:23,406 "Oh my goodness, here we go again. 139 00:06:23,406 --> 00:06:26,034 We're going to hear about a biochemical imbalance 140 00:06:26,034 --> 00:06:27,769 or we're going to hear about drugs 141 00:06:27,769 --> 00:06:32,595 or we're going to hear about some very simplistic notion 142 00:06:32,595 --> 00:06:35,535 that will take our subjective experience 143 00:06:35,535 --> 00:06:41,607 and turn it into molecules, or maybe into some sort of 144 00:06:41,607 --> 00:06:44,825 very flat, unidimensional understanding 145 00:06:44,825 --> 00:06:48,927 of what it is to have depression or schizophrenia. 146 00:06:48,927 --> 00:06:53,425 When we talk about the brain, it is anything but 147 00:06:53,425 --> 00:06:56,688 unidimensional or simplistic or reductionistic. 148 00:06:56,688 --> 00:06:59,647 It depends, of course, on what scale 149 00:06:59,647 --> 00:07:01,943 or what scope you want to think about, 150 00:07:01,943 --> 00:07:08,223 but this is an organ of surreal complexity, 151 00:07:08,223 --> 00:07:11,694 and we are just beginning to understand 152 00:07:11,694 --> 00:07:13,867 how to even study it, whether you're thinking about 153 00:07:13,867 --> 00:07:16,449 the 100 billion neurons that are in the cortex 154 00:07:16,449 --> 00:07:18,594 or the 100 trillion synapses 155 00:07:18,594 --> 00:07:20,953 that make up all the connections. 156 00:07:20,953 --> 00:07:24,529 We have just begun to try to figure out 157 00:07:24,529 --> 00:07:28,057 how do we take this very complex machine 158 00:07:28,057 --> 00:07:30,801 that does extraordinary kinds of information processing 159 00:07:30,801 --> 00:07:33,518 and use our own minds to understand 160 00:07:33,518 --> 00:07:37,049 this very complex brain that supports our own minds. 161 00:07:37,049 --> 00:07:39,609 It's actually a kind of cruel trick of evolution 162 00:07:39,609 --> 00:07:43,439 that we simply don't have a brain 163 00:07:43,439 --> 00:07:46,337 that seems to be wired well enough to understand itself. 164 00:07:46,337 --> 00:07:48,651 In a sense, it actually makes you feel that 165 00:07:48,651 --> 00:07:51,489 when you're in the safe zone of studying behavior or cognition, 166 00:07:51,489 --> 00:07:52,812 something you can observe, 167 00:07:52,812 --> 00:07:55,817 that in a way feels more simplistic and reductionistic 168 00:07:55,817 --> 00:08:00,785 than trying to engage this very complex, mysterious organ 169 00:08:00,785 --> 00:08:03,213 that we're beginning to try to understand. 170 00:08:03,213 --> 00:08:06,869 Now, already in the case of the brain disorders 171 00:08:06,869 --> 00:08:08,597 that I've been talking to you about, 172 00:08:08,597 --> 00:08:10,870 depression, obsessive compulsive disorder, 173 00:08:10,870 --> 00:08:13,032 post-traumatic stress disorder, 174 00:08:13,032 --> 00:08:15,974 while we don't have an in-depth understanding 175 00:08:15,974 --> 00:08:19,700 of how they are abnormally processed 176 00:08:19,700 --> 00:08:21,805 or what the brain is doing in these illnesses, 177 00:08:21,805 --> 00:08:24,860 we have been able to already identify 178 00:08:24,860 --> 00:08:27,436 some of the connectional differences, or some of the ways 179 00:08:27,436 --> 00:08:29,940 in which the circuitry is different 180 00:08:29,940 --> 00:08:31,756 for people who have these disorders. 181 00:08:31,756 --> 00:08:33,514 We call this the human connectome, 182 00:08:33,514 --> 00:08:35,895 and you can think about the connectome 183 00:08:35,895 --> 00:08:37,767 sort of as the wiring diagram of the brain. 184 00:08:37,767 --> 00:08:39,871 You'll hear more about this in a few minutes. 185 00:08:39,871 --> 00:08:42,822 The important piece here is that as you begin to look 186 00:08:42,822 --> 00:08:46,799 at people who have these disorders, the one in five of us 187 00:08:46,799 --> 00:08:48,627 who struggle in some way, 188 00:08:48,627 --> 00:08:50,915 you find that there's a lot of variation 189 00:08:50,915 --> 00:08:54,131 in the way that the brain is wired, 190 00:08:54,131 --> 00:08:56,733 but there are some predictable patterns, and those patterns 191 00:08:56,733 --> 00:09:00,547 are risk factors for developing one of these disorders. 192 00:09:00,547 --> 00:09:03,539 It's a little different than the way we think about brain disorders 193 00:09:03,539 --> 00:09:06,307 like Huntington's or Parkinson's or Alzheimer's disease 194 00:09:06,307 --> 00:09:08,699 where you have a bombed-out part of your cortex. 195 00:09:08,699 --> 00:09:11,959 Here we're talking about traffic jams, or sometimes detours, 196 00:09:11,959 --> 00:09:14,706 or sometimes problems with just the way that things are connected 197 00:09:14,706 --> 00:09:15,953 and the way that the brain functions. 198 00:09:15,953 --> 00:09:19,123 You could, if you want, compare this to, 199 00:09:19,123 --> 00:09:22,172 on the one hand, a myocardial infarction, a heart attack, 200 00:09:22,172 --> 00:09:23,995 where you have dead tissue in the heart, 201 00:09:23,995 --> 00:09:27,592 versus an arrhythmia, where the organ simply isn't functioning 202 00:09:27,592 --> 00:09:29,843 because of the communication problems within it. 203 00:09:29,843 --> 00:09:31,812 Either one would kill you; in only one of them 204 00:09:31,812 --> 00:09:34,412 will you find a major lesion. 205 00:09:34,412 --> 00:09:37,244 As we think about this, probably it's better to actually go 206 00:09:37,244 --> 00:09:40,467 a little deeper into one particular disorder, and that would be schizophrenia, 207 00:09:40,467 --> 00:09:42,603 because I think that's a good case 208 00:09:42,603 --> 00:09:46,128 for helping to understand why thinking of this as a brain disorder matters. 209 00:09:46,128 --> 00:09:50,006 These are scans from Judy Rapoport and her colleagues 210 00:09:50,006 --> 00:09:52,178 at the National Institute of Mental Health 211 00:09:52,178 --> 00:09:55,894 in which they studied children with very early onset schizophrenia, 212 00:09:55,894 --> 00:09:57,364 and you can see already in the top 213 00:09:57,364 --> 00:09:59,901 there's areas that are red or orange, yellow, 214 00:09:59,901 --> 00:10:02,039 are places where there's less gray matter, 215 00:10:02,039 --> 00:10:03,577 and as they followed them over five years, 216 00:10:03,577 --> 00:10:05,815 comparing them to age match controls, 217 00:10:05,815 --> 00:10:07,637 you can see that, particularly in areas like 218 00:10:07,637 --> 00:10:09,953 the dorsolateral prefrontal cortex 219 00:10:09,953 --> 00:10:14,283 or the superior temporal gyrus, there's a profound loss of gray matter. 220 00:10:14,283 --> 00:10:15,826 And it's important, if you try to model this, 221 00:10:15,826 --> 00:10:17,782 you can think about normal development 222 00:10:17,782 --> 00:10:21,035 as a loss of cortical mass, loss of cortical gray matter, 223 00:10:21,035 --> 00:10:24,699 and what's happening in schizophrenia is that you overshoot that mark, 224 00:10:24,699 --> 00:10:26,268 and at some point, when you overshoot, 225 00:10:26,268 --> 00:10:29,259 you cross a threshold, and it's that threshold 226 00:10:29,259 --> 00:10:32,835 where we say, this is a person who has this disease, 227 00:10:32,835 --> 00:10:35,123 because they have the behavioral symptoms 228 00:10:35,123 --> 00:10:37,244 of hallucinations and delusions. 229 00:10:37,244 --> 00:10:38,721 That's something we can observe. 230 00:10:38,721 --> 00:10:44,363 But look at this closely and you can see that actually they've crossed a different threshold. 231 00:10:44,363 --> 00:10:47,359 They've crossed a brain threshold much earlier, 232 00:10:47,359 --> 00:10:50,499 that perhaps not at age 22 or 20, 233 00:10:50,499 --> 00:10:53,267 but even by age 15 or 16 you can begin to see 234 00:10:53,267 --> 00:10:55,627 the trajectory for development is quite different 235 00:10:55,627 --> 00:10:59,142 at the level of the brain, not at the level of behavior. 236 00:10:59,142 --> 00:11:01,237 Why does this matter? Well first because, 237 00:11:01,237 --> 00:11:04,379 for brain disorders, behavior is the last thing to change. 238 00:11:04,379 --> 00:11:07,289 We know that for Alzheimer's, for Parkinson's, for Huntington's. 239 00:11:07,289 --> 00:11:09,723 There are changes in the brain a decade or more 240 00:11:09,723 --> 00:11:14,763 before you see the first signs of a behavioral change. 241 00:11:14,763 --> 00:11:17,707 The tools that we have now allow us to detect 242 00:11:17,707 --> 00:11:22,004 these brain changes much earlier, long before the symptoms emerge. 243 00:11:22,004 --> 00:11:25,403 But most important, go back to where we started. 244 00:11:25,403 --> 00:11:28,619 The good-news stories in medicine 245 00:11:28,619 --> 00:11:31,563 are early detection, early intervention. 246 00:11:31,563 --> 00:11:35,227 If we waited until the heart attack, 247 00:11:35,227 --> 00:11:39,202 we would be sacrificing 1.1 million lives 248 00:11:39,202 --> 00:11:41,611 every year in this country to heart disease. 249 00:11:41,611 --> 00:11:44,019 That is precisely what we do today 250 00:11:44,019 --> 00:11:48,531 when we decide that everybody with one of these brain disorders, 251 00:11:48,531 --> 00:11:51,733 brain circuit disorders, has a behavioral disorder. 252 00:11:51,733 --> 00:11:54,957 We wait until the behavior becomes manifest. 253 00:11:54,957 --> 00:11:59,516 That's not early detection. That's not early intervention. 254 00:11:59,516 --> 00:12:01,321 Now to be clear, we're not quite ready to do this. 255 00:12:01,321 --> 00:12:04,475 We don't have all the facts. We don't actually even know 256 00:12:04,475 --> 00:12:07,024 what the tools will be, 257 00:12:07,024 --> 00:12:11,283 nor what to precisely look for in every case to be able 258 00:12:11,283 --> 00:12:15,488 to get there before the behavior emerges as different. 259 00:12:15,488 --> 00:12:18,425 But this tells us how we need to think about it, 260 00:12:18,425 --> 00:12:19,914 and where we need to go. 261 00:12:19,914 --> 00:12:21,116 Are we going to be there soon? 262 00:12:21,116 --> 00:12:23,794 I think that this is something that will happen 263 00:12:23,794 --> 00:12:26,625 over the course of the next few years, but I'd like to finish 264 00:12:26,625 --> 00:12:29,160 with a quote about trying to predict how this will happen 265 00:12:29,160 --> 00:12:31,521 by somebody who's thought a lot about changes 266 00:12:31,521 --> 00:12:33,849 in concepts and changes in technology. 267 00:12:33,849 --> 00:12:36,113 "We always overestimate the change that will occur 268 00:12:36,113 --> 00:12:38,336 in the next two years and underestimate 269 00:12:38,336 --> 00:12:42,212 the change that will occur in the next 10." -- Bill Gates. 270 00:12:42,212 --> 00:12:43,575 Thanks very much. 271 00:12:43,575 --> 00:12:46,258 (Applause)