WEBVTT 00:00:14.763 --> 00:00:17.130 Does the brain have a sex? 00:00:17.130 --> 00:00:22.521 This is obviously a fundamental question that everyone asks. 00:00:22.521 --> 00:00:24.777 So, according to initial popular belief: 00:00:24.777 --> 00:00:27.763 Women have a brain smaller than men, 00:00:27.763 --> 00:00:30.789 therefore, they would be less intelligent than men. 00:00:30.789 --> 00:00:33.516 This idea stemmed from the 19th century, 00:00:33.516 --> 00:00:36.523 during the heyday of craniometry 00:00:36.523 --> 00:00:41.532 when doctors were interested to find links between the size of the skull, 00:00:41.532 --> 00:00:43.723 the weight of the brain and intelligence. 00:00:43.723 --> 00:00:46.155 It's important to note that for most of them 00:00:46.155 --> 00:00:50.749 it was absolutely obvious and natural that men had a bigger brain than women, 00:00:50.749 --> 00:00:52.748 whites bigger than blacks 00:00:52.748 --> 00:00:54.739 and managers bigger than workers. 00:00:55.259 --> 00:00:57.220 A big supporter of these theories, 00:00:57.220 --> 00:00:59.761 is the French doctor Paul Broca 00:00:59.761 --> 00:01:02.503 who measured a difference of 150 grams 00:01:02.503 --> 00:01:05.483 between average weights of men's and women's brains, 00:01:05.483 --> 00:01:08.533 men's weight was 1.350 kg 00:01:08.533 --> 00:01:10.232 and women's 1.200 kg. 00:01:10.232 --> 00:01:14.471 In 1861, Broca stated: 00:01:14.471 --> 00:01:18.752 "We wondered if the smallness of a woman's brain did not solely depend 00:01:18.752 --> 00:01:21.972 on the smallness of her body, nevertheless, one should not forget 00:01:21.972 --> 00:01:25.259 that women on average are a little less intelligent than men." 00:01:25.769 --> 00:01:28.761 So, anyway, 00:01:28.761 --> 00:01:32.493 this question of link between the size of the brain and intelligence 00:01:32.493 --> 00:01:33.775 is not asked anymore, 00:01:33.775 --> 00:01:37.047 because the reality is, there is no relation between the two, 00:01:37.047 --> 00:01:40.201 and we know it thanks to a certain number of male celebrities, 00:01:40.201 --> 00:01:42.776 not women, who have given their brains to science. 00:01:42.776 --> 00:01:45.765 A prominent person like Anatole France, for example, 00:01:45.765 --> 00:01:48.228 had a brain that weighed one kilogram, 00:01:48.228 --> 00:01:50.751 Tourgueniev had a brain that weighed 2 kg, 00:01:50.751 --> 00:01:54.096 and as for Einstein, he had a small brain weighing 1.250 kg. 00:01:54.096 --> 00:01:57.179 Meaning, of the same size as women's. 00:01:57.179 --> 00:02:01.255 Another popular belief: women are skilled at doing more than one thing at a time 00:02:01.255 --> 00:02:04.428 because the communications between their brain's hemispheres 00:02:04.428 --> 00:02:06.290 are more developed as oppose to men's. 00:02:06.290 --> 00:02:10.526 We know very well, they're multi-tasking. This idea comes from a study 00:02:10.526 --> 00:02:13.072 published in 1982, 00:02:13.072 --> 00:02:15.548 on 20 brains conserved in formalin 00:02:15.548 --> 00:02:18.265 that showed that the corpus callosum, 00:02:18.265 --> 00:02:20.234 that's the part surrounded by red, 00:02:20.234 --> 00:02:23.946 the bundle of fibers that connects both cerebral hemispheres, 00:02:23.946 --> 00:02:27.011 that corpus callosum was thicker for women than it was for men, 00:02:27.011 --> 00:02:29.193 where perhaps better communication stems. 00:02:29.193 --> 00:02:34.004 Now, since 1982, many things have gone by, 00:02:34.004 --> 00:02:35.770 new technology developed, 00:02:35.770 --> 00:02:40.286 in particular the new techniques of cerebral imagery such as MRI 00:02:40.286 --> 00:02:43.233 which made it possible from then on to live the dream, 00:02:43.233 --> 00:02:47.528 meaning to study a live brain no more studying a brain in formalin. 00:02:47.528 --> 00:02:49.770 And if we gather the collection of studies 00:02:49.770 --> 00:02:53.236 made on this corpus callosum since MRI was invented, 00:02:53.236 --> 00:02:56.103 we realize that there is no difference between men and women 00:02:56.103 --> 00:02:58.016 in the thickness of the corpus callosum. 00:02:58.016 --> 00:02:59.519 Another popular belief: 00:02:59.519 --> 00:03:02.253 "Women are more capable at learning languages 00:03:02.253 --> 00:03:05.061 because they use both of their hemispheres to speak." 00:03:05.061 --> 00:03:06.884 Let's see where this also comes from: 00:03:06.884 --> 00:03:10.752 this comes from a study that was published in 1994, 00:03:10.752 --> 00:03:14.530 a study using MRI during a language test, 00:03:14.530 --> 00:03:17.510 and it showed that men, taking this test, 00:03:17.510 --> 00:03:20.708 activated one hemisphere whereas women used both. 00:03:20.708 --> 00:03:24.516 So, this study that was conducted on 19 men and women, 00:03:24.516 --> 00:03:28.794 intrigued numerous researchers who looked into reproducing these results. 00:03:29.235 --> 00:03:32.516 And if we were to gather now the collection of studies 00:03:32.516 --> 00:03:37.778 that were published between 1995 and 2009, including this one, 00:03:37.778 --> 00:03:40.714 in total, 700 men and women were tested, 00:03:40.714 --> 00:03:42.774 we find that statically speaking, 00:03:42.774 --> 00:03:45.504 there is no difference between men and women 00:03:45.504 --> 00:03:48.761 in the distribution of language areas. 00:03:48.761 --> 00:03:52.508 And in fact, once a great number of subjects were analyzed, 00:03:52.508 --> 00:03:56.256 the difference between the sexes, finally, disappeared. 00:03:56.256 --> 00:03:58.237 We will see why. 00:03:58.237 --> 00:04:01.259 Take this example, a study using MRI, 00:04:01.259 --> 00:04:04.441 where we asked the subjects to do a mental calculation 00:04:04.441 --> 00:04:07.022 that they were all successful at doing. 00:04:07.022 --> 00:04:10.073 We could then see that in the women's group, 00:04:10.073 --> 00:04:12.824 there was actually a great variability 00:04:12.824 --> 00:04:15.516 in the distribution of areas in the brain 00:04:15.516 --> 00:04:17.710 that were activated during this calculation. 00:04:17.710 --> 00:04:21.504 This variability was equally found in the men's group. 00:04:22.034 --> 00:04:26.082 Finally, to come to an even score for mental calculation, 00:04:26.082 --> 00:04:30.281 each individual has their own way of activating their brain, 00:04:30.281 --> 00:04:34.112 corresponding to many different strategies 00:04:34.112 --> 00:04:36.764 to do mental calculations. 00:04:36.764 --> 00:04:40.532 And, consequently, the variability that we can observe 00:04:40.532 --> 00:04:43.260 between the individuals of the same sex, 00:04:43.260 --> 00:04:46.954 equals or exceeds the variability between the sexes. 00:04:48.284 --> 00:04:49.646 Another popular belief: 00:04:49.646 --> 00:04:52.565 the differences of mental aptitudes between the sexes 00:04:52.565 --> 00:04:54.941 originates from a biological origin. 00:04:54.961 --> 00:04:57.417 There are indeed a certain number of tests 00:04:57.417 --> 00:05:00.030 where women are known to perform better. 00:05:00.030 --> 00:05:03.767 For example tests of visual perception of details, 00:05:03.767 --> 00:05:05.284 such as this test here 00:05:05.284 --> 00:05:08.044 where one must notice two identical houses 00:05:08.044 --> 00:05:11.742 and the women are also better at tests of verbal fluency, 00:05:11.742 --> 00:05:14.257 where a maximum number of words must be said 00:05:14.257 --> 00:05:15.784 beginning with the same letter. 00:05:15.784 --> 00:05:18.263 In short, all this is still not very complicated. 00:05:18.263 --> 00:05:22.813 When it comes to men, they are better, or known to be better anyways, 00:05:22.813 --> 00:05:27.281 at tests involving mental rotation of objects in 3D. 00:05:27.842 --> 00:05:30.979 They are equally better at reaching a target. 00:05:30.979 --> 00:05:35.502 So, based on the significance of these differences in performance, 00:05:35.502 --> 00:05:39.498 we can ask the question: Are they inherent or are they acquired? 00:05:39.498 --> 00:05:42.531 In fact, it must be noted that the differences in question 00:05:42.531 --> 00:05:46.220 are detectable only in adolescence, 00:05:46.220 --> 00:05:49.253 and that they disappear with learning. 00:05:49.253 --> 00:05:52.511 Therefore, we can assume that education and culture 00:05:52.511 --> 00:05:55.738 play an important role in the emergence of these differences. 00:05:55.738 --> 00:06:00.002 There is also another important factor, which is the context 00:06:00.002 --> 00:06:03.498 where these prominent tests are carried. 00:06:03.498 --> 00:06:08.228 Let's take then this prominent test of mental rotation in 3D, 00:06:08.228 --> 00:06:11.892 where one must say if the objects presented 00:06:11.892 --> 00:06:15.018 are the same or if they are different. 00:06:15.018 --> 00:06:17.762 If the test is given in a classroom 00:06:17.762 --> 00:06:21.796 and the teacher says this is a geometry test, 00:06:21.796 --> 00:06:25.319 at that moment, boys will be better than girls. 00:06:25.319 --> 00:06:30.143 But if the teacher initially makes an announcement that this is an art test, 00:06:30.143 --> 00:06:33.473 at that moment, boys and girls will have the same scores. 00:06:33.473 --> 00:06:35.504 So, these results are interesting 00:06:35.504 --> 00:06:40.579 which show how much self-esteem and gender stereotypes 00:06:40.579 --> 00:06:43.269 affect the results of the tests. 00:06:45.419 --> 00:06:48.634 Another example also is the difference in mathematical performances 00:06:48.634 --> 00:06:52.398 between boys and girls, in the United States. 00:06:52.398 --> 00:06:56.536 A large-scale statistical survey conducted on 10 million students 00:06:56.536 --> 00:06:59.525 in 1990, showed, on average, 00:06:59.525 --> 00:07:03.238 boys were a little better than girls at math tests, 00:07:03.238 --> 00:07:05.910 and some have interpreted these results saying 00:07:05.910 --> 00:07:09.457 that it was because girls did not have a brain made for math. 00:07:09.457 --> 00:07:12.943 But the same survey that was commissioned in 2008, 00:07:12.943 --> 00:07:16.551 shows equivalent scores for boys and girls. 00:07:17.011 --> 00:07:21.771 So, for 20 years we had a disappearance of performance differences in math 00:07:21.771 --> 00:07:23.283 between boys and girls, 00:07:23.283 --> 00:07:25.994 which clearly shows that it's the education 00:07:25.994 --> 00:07:30.093 and not the biology that explains these differences in scores. 00:07:30.093 --> 00:07:31.893 Now, we will ask the question: 00:07:31.893 --> 00:07:34.815 "How does education affect the brain?" 00:07:35.515 --> 00:07:40.054 Our human brains are made up of 100 billion neurons 00:07:40.054 --> 00:07:42.006 that are connected to each other NOTE Paragraph 00:07:42.006 --> 00:07:47.045 thanks to connections amounting to many billions. 00:07:47.045 --> 00:07:51.541 Now 90% of these connections develop after birth. 00:07:51.541 --> 00:07:56.278 And it's precisely on how these connections will come to be, 00:07:56.278 --> 00:07:58.778 that these networks of neurons will develop, 00:07:58.778 --> 00:08:02.507 and where education and culture will play an important part. 00:08:02.967 --> 00:08:06.273 First example: brains of professional pianists, 00:08:06.273 --> 00:08:09.394 also applicable for violinists, I assure you, 00:08:09.394 --> 00:08:11.767 we can observe the MRI, for these people, 00:08:11.767 --> 00:08:14.518 a thickness of the cerebral regions 00:08:14.518 --> 00:08:19.019 which control the coordination of fingers as well as the hearing. 00:08:19.019 --> 00:08:21.210 In fact, this phenomenon of thickness 00:08:21.210 --> 00:08:25.771 is due to the connections produced between the extra neurons 00:08:25.771 --> 00:08:27.799 and in addition it is proportional 00:08:27.799 --> 00:08:32.080 to the time spent learning the piano since childhood. 00:08:32.080 --> 00:08:35.279 And we use the term cerebral plasticity 00:08:35.279 --> 00:08:38.169 to describe the brain's ability 00:08:38.169 --> 00:08:41.832 at shaping up eventually to reflect experience. 00:08:41.832 --> 00:08:44.861 Another example of cerebral plasticity in adulthood. 00:08:44.861 --> 00:08:48.162 We take a group of twenty -year-old students 00:08:48.162 --> 00:08:50.964 and we ask them to learn to juggle three balls. 00:08:50.964 --> 00:08:52.435 And in just three months, 00:08:52.435 --> 00:08:55.256 we find this phenomenon of the cortex thickening 00:08:55.256 --> 00:08:59.208 in the regions that control the motor coordination and vision. 00:08:59.208 --> 00:09:02.273 So, what's really interesting in this experiment is 00:09:02.273 --> 00:09:04.784 that if the students stop practice juggling, 00:09:04.784 --> 00:09:08.961 eventually the regions that thickened before will shrink. 00:09:08.961 --> 00:09:11.830 And so, we strongly went ahead with this experiment 00:09:11.830 --> 00:09:15.050 with people who are a little bit older, in their sixties, 00:09:15.050 --> 00:09:18.590 and we find the same phenomenon of thickness as the young ones. 00:09:18.590 --> 00:09:20.030 It is still rather reassuring, 00:09:20.030 --> 00:09:24.271 it shows that cerebral plasticity persists with age. 00:09:25.481 --> 00:09:28.257 Here we have an example extremely extraordinary 00:09:28.257 --> 00:09:30.049 of cerebral plasticity. 00:09:30.049 --> 00:09:34.403 A man who is 44 years old, married with two kids, 00:09:34.403 --> 00:09:37.264 living a professional life completely normal, 00:09:37.264 --> 00:09:40.488 who suffered from slight weakness in his leg. 00:09:40.488 --> 00:09:43.770 We decided to do an MRI test and surprise surprise, 00:09:43.770 --> 00:09:48.505 we discovered that his skull was essentially full of liquid 00:09:48.505 --> 00:09:51.718 and his brain was reduced to a thin layer 00:09:51.718 --> 00:09:54.333 flattened along the inner lining of the skull. 00:09:54.333 --> 00:09:56.233 We then asked questions. 00:09:56.233 --> 00:10:00.239 And, it turns out, this person suffered from hydrocephalus from birth, 00:10:00.239 --> 00:10:02.995 so we placed a drain at the base of the skull 00:10:02.995 --> 00:10:07.721 to discharge the excess liquid, but the drain was clogged 00:10:07.721 --> 00:10:11.233 and finally the pressure of the liquid repressed the brain 00:10:11.233 --> 00:10:13.001 along the inner lining of the skull. 00:10:13.001 --> 00:10:17.234 And all this happened without causing any trouble in this patient's life 00:10:17.234 --> 00:10:19.364 who never suspected anything. 00:10:19.934 --> 00:10:23.749 So, now that you know everything on cerebral plasticity, 00:10:23.749 --> 00:10:26.895 in terms of the brain's structure and function 00:10:26.895 --> 00:10:29.959 which is modified in relation to history for each person, 00:10:29.959 --> 00:10:33.754 you can now then understand why we all have very different brains, 00:10:33.754 --> 00:10:35.218 regardless of sex. 00:10:35.218 --> 00:10:37.703 However, what we do have in common 00:10:37.703 --> 00:10:41.043 is this cerebral cortex gifted with plasticity 00:10:41.043 --> 00:10:44.002 which has greatly developed in the course of evolution 00:10:44.002 --> 00:10:48.449 and which had to crease in order to fit inside the cranium. 00:10:48.979 --> 00:10:52.290 You have here in front of you, to the left, a real brain 00:10:52.290 --> 00:10:56.069 and to the right, a model brain with the technological means, 00:10:56.069 --> 00:10:59.648 we can have fun by unfolding it virtually. 00:10:59.648 --> 00:11:01.929 And I will give you this experience. 00:11:02.879 --> 00:11:06.520 Here I am unveiling the brain, 00:11:06.520 --> 00:11:08.252 well, the skull, actually. 00:11:08.712 --> 00:11:11.241 I am opening the cranium 00:11:11.241 --> 00:11:13.310 and I am unfolding the cerebral cortex 00:11:13.310 --> 00:11:17.231 which measures 2 m² on 3 mm of thickness, 00:11:17.231 --> 00:11:21.280 and it's because of this cerebral cortex that all of us, men and women, 00:11:21.280 --> 00:11:23.521 are able to reason, to think, 00:11:23.521 --> 00:11:27.207 to dream and to imagine the future of humanity. 00:11:27.207 --> 00:11:28.457 Thank you. 00:11:28.457 --> 00:11:31.057 (Applause)