1 00:00:14,763 --> 00:00:17,130 Does the brain have a sex? 2 00:00:17,130 --> 00:00:22,521 This is obviously a fundamental question that everyone asks. 3 00:00:22,521 --> 00:00:24,777 So, according to initial popular belief: 4 00:00:24,777 --> 00:00:27,763 Women have a brain smaller than men, 5 00:00:27,763 --> 00:00:30,789 therefore, they would be less intelligent than men. 6 00:00:30,789 --> 00:00:33,516 This idea stemmed from the 19th century, 7 00:00:33,516 --> 00:00:36,523 during the heyday of craniometry 8 00:00:36,523 --> 00:00:41,532 when doctors were interested to find links between the size of the skull, 9 00:00:41,532 --> 00:00:43,723 the weight of the brain and intelligence. 10 00:00:43,723 --> 00:00:46,155 It's important to note that for most of them 11 00:00:46,155 --> 00:00:50,749 it was absolutely obvious and natural that men had a bigger brain than women, 12 00:00:50,749 --> 00:00:52,748 whites bigger than blacks 13 00:00:52,748 --> 00:00:54,739 and managers bigger than workers. 14 00:00:55,259 --> 00:00:57,220 A big supporter of these theories, 15 00:00:57,220 --> 00:00:59,761 is the French doctor Paul Broca 16 00:00:59,761 --> 00:01:02,503 who measured a difference of 150 grams 17 00:01:02,503 --> 00:01:05,483 between average weights of men's and women's brains, 18 00:01:05,483 --> 00:01:08,533 men's weight was 1.350 kg 19 00:01:08,533 --> 00:01:10,232 and women's 1.200 kg. 20 00:01:10,232 --> 00:01:14,471 In 1861, Broca stated: 21 00:01:14,471 --> 00:01:18,752 "We wondered if the smallness of a woman's brain did not solely depend 22 00:01:18,752 --> 00:01:21,972 on the smallness of her body, nevertheless, one should not forget 23 00:01:21,972 --> 00:01:25,259 that women on average are a little less intelligent than men." 24 00:01:25,769 --> 00:01:28,761 So, anyway, 25 00:01:28,761 --> 00:01:32,493 this question of link between the size of the brain and intelligence 26 00:01:32,493 --> 00:01:33,775 is not asked anymore, 27 00:01:33,775 --> 00:01:37,047 because the reality is, there is no relation between the two, 28 00:01:37,047 --> 00:01:40,201 and we know it thanks to a certain number of male celebrities, 29 00:01:40,201 --> 00:01:42,776 not women, who have given their brains to science. 30 00:01:42,776 --> 00:01:45,765 A prominent person like Anatole France, for example, 31 00:01:45,765 --> 00:01:48,228 had a brain that weighed one kilogram, 32 00:01:48,228 --> 00:01:50,751 Tourgueniev's had a brain that weighed 2 kg, 33 00:01:50,751 --> 00:01:54,096 and as for Einstein, he had a small brain weighing 1.250 kg. 34 00:01:54,096 --> 00:01:57,179 Meaning, of the same size as women's. 35 00:01:57,179 --> 00:02:01,255 Another popular belief: women are skilled at doing more than one thing at a time 36 00:02:01,255 --> 00:02:04,428 because the communications between their brain's hemispheres 37 00:02:04,428 --> 00:02:06,290 are more developed as oppose to men's. 38 00:02:06,290 --> 00:02:10,526 We know very well, they're multi-tasking. This idea comes from a study 39 00:02:10,526 --> 00:02:13,072 published in 1982, 40 00:02:13,072 --> 00:02:15,548 on 20 brains conserved in formalin 41 00:02:15,548 --> 00:02:18,265 that showed that the corpus callosum, 42 00:02:18,265 --> 00:02:20,234 that's the part surrounded by red, 43 00:02:20,234 --> 00:02:23,946 the bundle of fibers that connects both cerebral hemispheres, 44 00:02:23,946 --> 00:02:27,011 that corpus callosum was thicker for women than it was for men, 45 00:02:27,011 --> 00:02:29,193 where perhaps better communication stems. 46 00:02:29,193 --> 00:02:34,004 Now, since 1982, many things have gone by, 47 00:02:34,004 --> 00:02:35,770 new technology developed, 48 00:02:35,770 --> 00:02:40,286 in particular the new techniques of cerebral imagery such as MRI 49 00:02:40,286 --> 00:02:43,233 which made it possible from then on to live the dream, 50 00:02:43,233 --> 00:02:47,528 meaning to study a live brain no more studying a brain in formalin. 51 00:02:47,528 --> 00:02:49,770 And if we gather the collection of studies 52 00:02:49,770 --> 00:02:53,236 made on this corpus callosum since MRI was invented, 53 00:02:53,236 --> 00:02:56,103 we realize that there is no difference between men and women 54 00:02:56,103 --> 00:02:58,016 in the thickness of the corpus callosum. 55 00:02:58,016 --> 00:02:59,519 Another popular belief: 56 00:02:59,519 --> 00:03:02,253 "Women are more capable at learning languages 57 00:03:02,253 --> 00:03:05,061 because they use both of their hemispheres to speak." 58 00:03:05,061 --> 00:03:06,884 Let's see where this also comes from: 59 00:03:06,884 --> 00:03:10,752 this comes from a study that was published in 1994, 60 00:03:10,752 --> 00:03:14,530 a study using MRI during a language test, 61 00:03:14,530 --> 00:03:17,510 and it showed that men, taking this test, 62 00:03:17,510 --> 00:03:20,708 activated one hemisphere whereas women used both. 63 00:03:20,708 --> 00:03:24,516 So, this study that was conducted on 19 men and women, 64 00:03:24,516 --> 00:03:28,794 intrigued numerous researchers who looked into reproducing these results. 65 00:03:29,235 --> 00:03:32,516 And if we were to gather now the collection of studies 66 00:03:32,516 --> 00:03:37,778 that were published between 1995 and 2009, including this one, 67 00:03:37,778 --> 00:03:40,714 in total, 700 men and women were tested, 68 00:03:40,714 --> 00:03:42,774 we find that statically speaking, 69 00:03:42,774 --> 00:03:45,504 there is no difference between men and women 70 00:03:45,504 --> 00:03:48,761 in the distribution of language areas. 71 00:03:48,761 --> 00:03:52,508 And in fact, once a great number of subjects were analyzed, 72 00:03:52,508 --> 00:03:56,256 the difference between the sexes, finally, disappeared. 73 00:03:56,256 --> 00:03:58,237 We will see why. 74 00:03:58,237 --> 00:04:01,259 Take this example, a study using MRI, 75 00:04:01,259 --> 00:04:04,441 where we asked the subjects to do a mental calculation 76 00:04:04,441 --> 00:04:07,022 that they were all successful at doing. 77 00:04:07,022 --> 00:04:10,073 We could then see that in the women's group, 78 00:04:10,073 --> 00:04:12,824 there was actually a great variability 79 00:04:12,824 --> 00:04:15,516 in the distribution of areas in the brain 80 00:04:15,516 --> 00:04:17,710 that were activated during this calculation. 81 00:04:17,710 --> 00:04:21,504 This variability was equally found in the men's group. 82 00:04:22,034 --> 00:04:26,082 Finally, to come to an even score for mental calculation, 83 00:04:26,082 --> 00:04:30,281 each individual has their own way of activating their brain, 84 00:04:30,281 --> 00:04:34,112 corresponding to many different strategies 85 00:04:34,112 --> 00:04:36,764 to do mental calculations. 86 00:04:36,764 --> 00:04:40,532 And, consequently, the variability that we can observe 87 00:04:40,532 --> 00:04:43,260 between the individuals of the same sex, 88 00:04:43,260 --> 00:04:46,954 equals or exceeds the variability between the sexes. 89 00:04:48,284 --> 00:04:49,646 Another popular belief: 90 00:04:49,646 --> 00:04:52,565 the differences of mental aptitudes between the sexes 91 00:04:52,565 --> 00:04:54,941 originates from a biological origin. 92 00:04:54,961 --> 00:04:57,417 There are indeed a certain number of tests 93 00:04:57,417 --> 00:05:00,030 where women are known to perform better. 94 00:05:00,030 --> 00:05:03,767 For example tests of visual perception of details, 95 00:05:03,767 --> 00:05:05,284 such as this test here 96 00:05:05,284 --> 00:05:08,044 where one must notice two identical houses 97 00:05:08,044 --> 00:05:11,742 and the women are also better at tests of verbal fluency, 98 00:05:11,742 --> 00:05:14,257 where a maximum number of words must be said 99 00:05:14,257 --> 00:05:15,784 beginning with the same letter. 100 00:05:15,784 --> 00:05:18,263 In short, all this is still not very complicated. 101 00:05:18,263 --> 00:05:22,813 When it comes to men, they are better, or known to be better anyways, 102 00:05:22,813 --> 00:05:27,281 at tests involving mental rotation of objects in 3D. 103 00:05:27,842 --> 00:05:30,979 They are equally better at reaching a target. 104 00:05:30,979 --> 00:05:35,502 So, based on the significance of these differences in performance, 105 00:05:35,502 --> 00:05:39,498 we can ask the question: Are they inherent or are they acquired? 106 00:05:39,498 --> 00:05:42,531 In fact, it must be noted that the differences in question 107 00:05:42,531 --> 00:05:46,220 are detectable only in adolescence, 108 00:05:46,220 --> 00:05:49,253 and that they disappear with learning. 109 00:05:49,253 --> 00:05:52,511 Therefore, we can assume that education and culture 110 00:05:52,511 --> 00:05:55,738 play an important role in the emergence of these differences. 111 00:05:55,738 --> 00:06:00,002 There is also another important factor, which is the context 112 00:06:00,002 --> 00:06:03,498 where these prominent tests are carried. 113 00:06:03,498 --> 00:06:08,228 Let's take then this prominent test of mental rotation in 3D, 114 00:06:08,228 --> 00:06:11,892 where one must say if the objects presented 115 00:06:11,892 --> 00:06:15,018 are the same or if they are different. 116 00:06:15,018 --> 00:06:17,762 If the test is given in a classroom 117 00:06:17,762 --> 00:06:21,796 and the teacher says this is a geometry test, 118 00:06:21,796 --> 00:06:25,319 at that moment, boys will be better than girls. 119 00:06:25,319 --> 00:06:30,143 But if the teacher initially makes an announcement that this is an art test, 120 00:06:30,143 --> 00:06:33,473 at that moment, boys and girls will have the same scores. 121 00:06:33,473 --> 00:06:35,504 So, these results are interesting 122 00:06:35,504 --> 00:06:40,579 which show how much self-esteem and gender stereotypes 123 00:06:40,579 --> 00:06:43,269 affect the results of the tests. 124 00:06:45,419 --> 00:06:48,634 Another example also is the difference in mathematical performances 125 00:06:48,634 --> 00:06:52,398 between boys and girls, in the United States. 126 00:06:52,398 --> 00:06:56,536 A large-scale statistical survey conducted on 10 million students 127 00:06:56,536 --> 00:06:59,525 in 1990, showed, on average, 128 00:06:59,525 --> 00:07:03,238 boys were a little better than girls at math tests, 129 00:07:03,238 --> 00:07:05,910 and some have interpreted these results saying 130 00:07:05,910 --> 00:07:09,457 that it was because girls did not have a brain made for math. 131 00:07:09,457 --> 00:07:12,943 But the same survey that was commissioned in 2008, 132 00:07:12,943 --> 00:07:16,551 shows equivalent scores for boys and girls. 133 00:07:17,011 --> 00:07:21,771 So, for 20 years we had a disappearance of performance differences in math 134 00:07:21,771 --> 00:07:23,283 between boys and girls, 135 00:07:23,283 --> 00:07:25,994 which clearly shows that it's the education 136 00:07:25,994 --> 00:07:30,093 and not the biology that explains these differences in scores. 137 00:07:30,093 --> 00:07:31,893 Now, we will ask the question: 138 00:07:31,893 --> 00:07:34,815 "How does education affect the brain?" 139 00:07:35,515 --> 00:07:40,054 Our human brains are made up of 100 billion neurons 140 00:07:40,054 --> 00:07:42,006 that are connected to each other 141 00:07:42,006 --> 00:07:47,045 thanks to connections amounting to many billions. 142 00:07:47,045 --> 00:07:51,541 Now 90% of these connections develop after birth. 143 00:07:51,541 --> 00:07:56,278 And it's precisely on how these connections will come to be, 144 00:07:56,278 --> 00:07:58,778 that these networks of neurons will develop, 145 00:07:58,778 --> 00:08:02,507 and where education and culture will play an important part. 146 00:08:02,967 --> 00:08:06,273 First example: brains of professional pianists, 147 00:08:06,273 --> 00:08:09,394 also applicable for violinists, I assure you, 148 00:08:09,394 --> 00:08:11,767 we can observe the MRI, for these people, 149 00:08:11,767 --> 00:08:14,518 a thickness of the cerebral regions 150 00:08:14,518 --> 00:08:19,019 which control the coordination of fingers as well as the hearing. 151 00:08:19,019 --> 00:08:21,210 In fact, this phenomenon of thickness 152 00:08:21,210 --> 00:08:25,771 is due to the connections produced between the extra neurons 153 00:08:25,771 --> 00:08:27,799 and in addition it is proportional 154 00:08:27,799 --> 00:08:32,080 to the time spent learning the piano since childhood. 155 00:08:32,080 --> 00:08:35,279 And we use the term cerebral plasticity 156 00:08:35,279 --> 00:08:38,169 to describe the brain's ability 157 00:08:38,169 --> 00:08:41,832 at shaping up eventually to reflect experience. 158 00:08:41,832 --> 00:08:44,861 Another example of cerebral plasticity in adulthood. 159 00:08:44,861 --> 00:08:48,162 We take a group of twenty -year-old students 160 00:08:48,162 --> 00:08:50,964 and we ask them to learn to juggle three balls. 161 00:08:50,964 --> 00:08:52,435 And in just three months, 162 00:08:52,435 --> 00:08:55,256 we find this phenomenon of the cortex thickening 163 00:08:55,256 --> 00:08:59,208 in the regions that control the motor coordination and vision. 164 00:08:59,208 --> 00:09:02,273 So, what's really interesting in this experiment is 165 00:09:02,273 --> 00:09:04,784 that if the students stop practice juggling, 166 00:09:04,784 --> 00:09:08,961 eventually the regions that thickened before will shrink. 167 00:09:08,961 --> 00:09:11,830 And so, we strongly went ahead with this experiment 168 00:09:11,830 --> 00:09:15,050 with people who are a little bit older, in their sixties, 169 00:09:15,050 --> 00:09:18,590 and we find the same phenomenon of thickness as the young ones. 170 00:09:18,590 --> 00:09:20,030 It is still rather reassuring, 171 00:09:20,030 --> 00:09:24,271 it shows that cerebral plasticity persists with age. 172 00:09:25,481 --> 00:09:28,257 Here we have an example extremely extraordinary 173 00:09:28,257 --> 00:09:30,049 of cerebral plasticity. 174 00:09:30,049 --> 00:09:34,403 A man who is 44 years old, married with two kids, 175 00:09:34,403 --> 00:09:37,264 living a professional life completely normal, 176 00:09:37,264 --> 00:09:40,488 who suffered from slight weakness in his leg. 177 00:09:40,488 --> 00:09:43,770 We decided to do an MRI test and surprise surprise, 178 00:09:43,770 --> 00:09:48,505 we discovered that his skull was essentially full of liquid 179 00:09:48,505 --> 00:09:51,718 and his brain was reduced to a thin layer 180 00:09:51,718 --> 00:09:54,333 flattened along the inner lining of the skull. 181 00:09:54,333 --> 00:09:56,233 We then asked questions. 182 00:09:56,233 --> 00:10:00,239 And, it turns out, this person suffered from hydrocephalus from birth, 183 00:10:00,239 --> 00:10:02,995 so we placed a drain at the base of the skull 184 00:10:02,995 --> 00:10:07,721 to discharge the excess liquid, but the drain was clogged 185 00:10:07,721 --> 00:10:11,233 and finally the pressure of the liquid repressed the brain 186 00:10:11,233 --> 00:10:13,001 along the inner lining of the skull. 187 00:10:13,001 --> 00:10:17,234 And all this happened without causing any trouble in this patient's life 188 00:10:17,234 --> 00:10:19,364 who never suspected anything. 189 00:10:19,934 --> 00:10:23,749 So, now that you know everything on cerebral plasticity, 190 00:10:23,749 --> 00:10:26,895 in terms of the brain's structure and function 191 00:10:26,895 --> 00:10:29,959 which is modified in relation to history for each person, 192 00:10:29,959 --> 00:10:33,754 you can now then understand why we all have very different brains, 193 00:10:33,754 --> 00:10:35,218 regardless of sex. 194 00:10:35,218 --> 00:10:37,703 However, what we do have in common 195 00:10:37,703 --> 00:10:41,043 is this cerebral cortex gifted with plasticity 196 00:10:41,043 --> 00:10:44,002 which has greatly developed in the course of evolution 197 00:10:44,002 --> 00:10:48,449 and which had to crease in order to fit inside the cranium. 198 00:10:48,979 --> 00:10:52,290 You have here in front of you, to the left, a real brain 199 00:10:52,290 --> 00:10:56,069 and to the right, a model brain with the technological means, 200 00:10:56,069 --> 00:10:59,648 we can have fun by unfolding it virtually. 201 00:10:59,648 --> 00:11:01,929 And I will give you this experience. 202 00:11:02,879 --> 00:11:06,520 Here I am unveiling the brain, 203 00:11:06,520 --> 00:11:08,252 well, the skull, actually. 204 00:11:08,712 --> 00:11:11,241 I am opening the cranium 205 00:11:11,241 --> 00:11:13,310 and I am unfolding the cerebral cortex 206 00:11:13,310 --> 00:11:17,231 which measures 2 m² on 3 mm of thickness, 207 00:11:17,231 --> 00:11:21,280 and it's because of this cerebral cortex that all of us, men and women, 208 00:11:21,280 --> 00:11:23,521 are able to reason, to think, 209 00:11:23,521 --> 00:11:27,207 to dream and to imagine the future of humanity. 210 00:11:27,207 --> 00:11:28,457 Thank you. 211 00:11:28,457 --> 00:11:31,057 (Applause)