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These are the user uploaded subtitles that are being translated: 1 00:00:14,614 --> 00:00:17,617 She's had a week of just awful, awful sleep. 2 00:00:20,120 --> 00:00:24,057 She was waking up probably about ten plus times a night. 3 00:00:32,766 --> 00:00:33,966 Are you being naughty? 4 00:00:35,035 --> 00:00:37,203 You don't want to sleep at all. 5 00:00:39,105 --> 00:00:41,374 Getting your baby to sleep through the night 6 00:00:41,975 --> 00:00:45,045 turns out to be a universal human challenge. 7 00:00:47,147 --> 00:00:48,948 You really need to sleep. 8 00:00:51,818 --> 00:00:56,156 A baby sleeping is not just important for its parents' sanity, 9 00:00:56,222 --> 00:00:58,858 it's fundamental for the baby's development. 10 00:01:16,676 --> 00:01:20,613 A newborn baby is spending 16 hours a day sleeping. 11 00:01:21,347 --> 00:01:23,917 That's an extraordinary amount of time to be asleep. 12 00:01:27,854 --> 00:01:31,524 There's a lot of mystery there about what's going on in these babies. 13 00:01:31,591 --> 00:01:32,959 Why are they sleeping so much? 14 00:01:35,528 --> 00:01:38,465 What an exciting day you've had. You've seen everything. 15 00:01:45,805 --> 00:01:47,707 You're tired as well, aren't you, huh? 16 00:01:48,641 --> 00:01:54,581 The brain is absolutely on fire. It is very, very active during sleep. 17 00:02:03,089 --> 00:02:06,493 This is, in some sense, me-time for your brain. 18 00:02:06,559 --> 00:02:11,998 This is the time when your brain lives out its own existence, if you will. 19 00:02:12,365 --> 00:02:13,700 But you're unaware of it. 20 00:02:14,334 --> 00:02:17,470 Which is, for me, absolutely fascinating. 21 00:02:21,975 --> 00:02:23,943 I feel like we are really just 22 00:02:24,010 --> 00:02:26,312 at the tip of the iceberg with sleep science. 23 00:02:28,014 --> 00:02:31,017 We feel better during the day, we think better during the day, 24 00:02:31,317 --> 00:02:34,420 because of something that's happened in the brain during sleep. 25 00:02:35,121 --> 00:02:38,057 I want to understand how does sleep make you better? 26 00:03:34,647 --> 00:03:37,317 We kept sort of saying to everyone, 27 00:03:37,383 --> 00:03:40,253 "Oh, he's sleeping five or six hours at night, it's great." 28 00:03:41,521 --> 00:03:42,889 Time for a nappy change. 29 00:03:44,624 --> 00:03:45,624 There you go. 30 00:03:46,025 --> 00:03:48,328 The last couple of days that's stopped, 31 00:03:48,561 --> 00:03:50,263 so it's been back to every 32 00:03:50,330 --> 00:03:53,566 sort of two and a half, three hours waking up for a feed again. 33 00:04:00,540 --> 00:04:03,276 Putting him down you've got that initial, 34 00:04:03,643 --> 00:04:05,678 "Oh God, please keep your eyes shut." 35 00:04:09,148 --> 00:04:10,350 Yep. 36 00:04:10,416 --> 00:04:11,416 Like clockwork. 37 00:04:12,085 --> 00:04:14,053 Pretty much 2:00 a.m., 38 00:04:14,454 --> 00:04:15,454 he's awake. 39 00:04:17,624 --> 00:04:19,726 So I'll go in and grab him... 40 00:04:20,860 --> 00:04:21,860 nappy change, 41 00:04:22,562 --> 00:04:23,463 get his bottle ready, 42 00:04:23,529 --> 00:04:24,797 and then give him a feed. 43 00:04:26,432 --> 00:04:28,368 Sleep deprivation is really hard. 44 00:04:30,536 --> 00:04:32,972 No one's used to waking up every two or three hours 45 00:04:33,473 --> 00:04:35,842 and having to deal with a crying baby. 46 00:04:37,877 --> 00:04:40,179 It really affects you mentally as well. 47 00:04:44,017 --> 00:04:46,986 I am not a nice person without sleep. 48 00:04:48,554 --> 00:04:49,389 Yeah. 49 00:04:49,455 --> 00:04:52,625 Their sleep patterns just change so... so quickly. 50 00:05:10,877 --> 00:05:12,912 Got you, Papa! 51 00:05:12,979 --> 00:05:14,113 Uh-oh! 52 00:05:14,847 --> 00:05:15,715 That was me? 53 00:05:15,782 --> 00:05:16,782 That's you. 54 00:05:17,517 --> 00:05:18,918 You were probably... 55 00:05:20,153 --> 00:05:21,421 ten minutes old. 56 00:05:22,655 --> 00:05:24,190 Do you look at all like you? 57 00:05:24,590 --> 00:05:25,590 No. 58 00:05:25,925 --> 00:05:27,727 - You don't think so? - I really don't. 59 00:05:28,161 --> 00:05:29,161 No. 60 00:05:30,830 --> 00:05:33,366 When I was a new parent, I told all my friends, 61 00:05:33,466 --> 00:05:36,602 "I totally got this. I know how to think about babies, 62 00:05:36,669 --> 00:05:38,705 this is gonna be really easy." 63 00:05:39,372 --> 00:05:40,473 Little did I know. 64 00:05:41,607 --> 00:05:44,077 The eyelashes don't look anything like me. 65 00:05:44,143 --> 00:05:45,143 Well, 66 00:05:45,445 --> 00:05:47,180 you have a lot more eyelashes now. 67 00:05:47,880 --> 00:05:49,582 Yeah, but it's still cute. 68 00:05:49,849 --> 00:05:52,151 There we were, new parents. 69 00:05:52,952 --> 00:05:54,987 And then all hell broke loose, 70 00:05:55,054 --> 00:05:58,491 and it was only because I couldn't figure out 71 00:05:58,958 --> 00:06:02,662 how to get my daughter to sleep through the night. 72 00:06:03,730 --> 00:06:04,897 All right, go on. 73 00:06:07,200 --> 00:06:08,668 As a neuroscientist, 74 00:06:09,302 --> 00:06:13,172 it had not occurred to me to actually study sleep. 75 00:06:13,239 --> 00:06:14,540 Should we let him get chased? 76 00:06:14,607 --> 00:06:17,410 But when I was a newborn parent, there's no knowledge 77 00:06:17,477 --> 00:06:20,513 about what is normal and what one should do. 78 00:06:22,882 --> 00:06:26,185 And so I decided to study sleep in infants. 79 00:06:27,787 --> 00:06:30,923 Surely, we could find out how to think about baby sleep 80 00:06:30,990 --> 00:06:34,660 in a scientifically grounded, biologically-based way. 81 00:06:42,368 --> 00:06:46,773 Everyone knows that baby sleep seems erratic early on, 82 00:06:46,839 --> 00:06:49,809 and eventually it becomes regular. 83 00:06:51,677 --> 00:06:57,717 So we wanted to find out when do babies learn to sleep like we do? 84 00:06:58,451 --> 00:07:00,753 Does it develop gradually? 85 00:07:01,053 --> 00:07:04,891 Does it suddenly occur in the ninth month, for example? 86 00:07:07,593 --> 00:07:11,330 Or does everyone have their own rhythm? 87 00:07:13,833 --> 00:07:17,036 The first thing to do was to figure out how to get the data. 88 00:07:18,271 --> 00:07:19,305 We discovered 89 00:07:19,372 --> 00:07:23,609 that there's a whole set of apps that people are using 90 00:07:23,676 --> 00:07:26,612 to log events about their babies. 91 00:07:27,713 --> 00:07:29,949 Most importantly, sleeping. 92 00:07:33,386 --> 00:07:35,621 That for us is a treasure trove. 93 00:07:36,422 --> 00:07:38,991 So we talked to some app developers, 94 00:07:39,058 --> 00:07:43,830 and this collaboration between the app developers and the scientists 95 00:07:44,497 --> 00:07:47,300 became the NYU Baby Sleep Study. 96 00:07:55,608 --> 00:07:57,877 We're going to visit some of the families 97 00:07:57,944 --> 00:07:59,745 who've signed up for the study 98 00:07:59,812 --> 00:08:04,250 and find out how it is that they're actually using this application, 99 00:08:04,317 --> 00:08:09,088 which will give us a sense of how the data are being collected. 100 00:08:12,592 --> 00:08:15,695 The way we're used to collecting data is 101 00:08:15,761 --> 00:08:18,264 in a small number of subjects, 102 00:08:18,331 --> 00:08:22,068 but with absolutely precise and accurate measurements. 103 00:08:24,971 --> 00:08:28,975 In this case, though, we have no control over anything. 104 00:08:29,041 --> 00:08:31,377 We're not even making any of the measurements. 105 00:08:33,579 --> 00:08:35,348 And so we don't know 106 00:08:35,414 --> 00:08:40,019 whether the times are accurate to the minute, or to the hour. 107 00:08:46,792 --> 00:08:47,727 - Hi. - Hello, Sarah. 108 00:08:47,793 --> 00:08:49,595 - Well, come on in. - Nice to meet you. 109 00:08:49,862 --> 00:08:51,063 - Hi Olivia. - Hi. 110 00:08:51,130 --> 00:08:53,466 - I'm Professor Fenton. - Hi. 111 00:08:53,533 --> 00:08:56,035 I'm curious, when do you log the event? 112 00:08:57,403 --> 00:09:00,072 I logged when he woke up at... 113 00:09:01,073 --> 00:09:03,009 one... what was it, 12:40? 114 00:09:03,075 --> 00:09:05,745 But he went back to bed around 2:20 a.m. 115 00:09:05,811 --> 00:09:09,815 Okay. So you're putting in the hours and minutes. 116 00:09:09,882 --> 00:09:10,882 Uh-huh. 117 00:09:10,983 --> 00:09:13,619 How accurate do you think the minutes part is? 118 00:09:13,686 --> 00:09:17,256 So, I think when I wake up and check my phone in the middle of the night 119 00:09:17,323 --> 00:09:20,693 and see he's awake, it's kind of, like, in my brain that, like, 120 00:09:20,760 --> 00:09:25,131 it was 1:47 that my sleep was interrupted. So that... 121 00:09:25,197 --> 00:09:26,699 And I... That matters to me. 122 00:09:26,766 --> 00:09:29,635 - Come on. - All right. Let's get out of your way. 123 00:09:29,702 --> 00:09:30,536 - Awesome. - Okay. 124 00:09:30,603 --> 00:09:32,338 Thank you very much. Appreciate it. 125 00:09:36,475 --> 00:09:39,579 The thing that struck me the most when I got to meet 126 00:09:39,645 --> 00:09:41,414 some of the study participants 127 00:09:41,480 --> 00:09:44,951 is that they were accurate to the minute. 128 00:09:46,052 --> 00:09:47,219 It was clear that 129 00:09:47,286 --> 00:09:51,157 the error was, by assertion, no more than five minutes. 130 00:09:53,192 --> 00:09:55,728 To have minute-precise data, 131 00:09:56,362 --> 00:09:59,065 and to have millions of those data points... 132 00:10:00,433 --> 00:10:05,438 makes you extremely confident as a scientist in coming to conclusions. 133 00:10:17,149 --> 00:10:19,785 Please meet my longtime colleague, 134 00:10:19,852 --> 00:10:21,354 Pascal Wallisch. 135 00:10:21,754 --> 00:10:25,958 Pascal has a long history of working with lots of data 136 00:10:26,025 --> 00:10:27,827 before they were called "big data." 137 00:10:30,563 --> 00:10:35,434 What you're looking at here is a distribution of babies in the study 138 00:10:36,102 --> 00:10:37,102 around the world. 139 00:10:37,970 --> 00:10:40,306 So every dot here represents a baby. 140 00:10:43,776 --> 00:10:46,779 We have logged data from about 1,000 babies, 141 00:10:46,846 --> 00:10:51,050 and they have produced a total of six million events 142 00:10:51,117 --> 00:10:57,490 made up out of about 1.5 million sleep events, 2.5 million eating events, 143 00:10:57,556 --> 00:10:59,925 and 1.5 million diaper change events. 144 00:11:00,459 --> 00:11:01,459 Collectively. 145 00:11:03,262 --> 00:11:06,365 If you have a large number of babies 146 00:11:06,432 --> 00:11:08,467 and they each have their own rhythm, 147 00:11:08,934 --> 00:11:12,438 but there's a common, underlying pattern to that rhythm, 148 00:11:12,505 --> 00:11:15,641 when you sample enough babies, the pattern will emerge. 149 00:11:16,642 --> 00:11:19,879 And we're beginning to answer the first simple question, 150 00:11:20,646 --> 00:11:23,916 when does the sleep pattern emerge? 151 00:11:31,824 --> 00:11:32,858 Hello, baby. 152 00:11:34,560 --> 00:11:35,560 Hey. 153 00:11:36,328 --> 00:11:37,328 Hey. 154 00:11:38,497 --> 00:11:39,497 Hey! 155 00:11:40,599 --> 00:11:42,101 Kiki's the laid-back one. 156 00:11:44,136 --> 00:11:46,539 Yaya's the one that wants all the attention. 157 00:11:47,339 --> 00:11:48,340 If I'm not tired, 158 00:11:48,741 --> 00:11:51,077 I'm just like, "Okay, this is all right." 159 00:11:51,143 --> 00:11:52,663 If I'm tired I'm just like... 160 00:11:53,679 --> 00:11:57,083 Like, I'm starting to get really bad neck pain from falling asleep like this. 161 00:12:01,887 --> 00:12:05,524 Then you'll be looking at the other one, you'll be thinking, "Okay, hurry up, 162 00:12:05,591 --> 00:12:07,560 'cause your sister's gonna wake up." 163 00:12:10,329 --> 00:12:13,499 They have their own time. This is nap time for them. 164 00:12:14,233 --> 00:12:16,335 And then, at night, is when they wake up 165 00:12:16,402 --> 00:12:18,671 and want to play and do whatever they want to do. 166 00:12:20,673 --> 00:12:23,075 Since they were born, 167 00:12:23,142 --> 00:12:24,977 since the first day, it's just been like that. 168 00:12:25,044 --> 00:12:27,146 - Yeah. - They just won't sleep at night. 169 00:12:27,213 --> 00:12:28,781 Just refuse to sleep at night. 170 00:12:32,118 --> 00:12:33,586 It's very, very tiring. 171 00:12:33,652 --> 00:12:36,388 I have to gear myself up for nighttime, a lot. 172 00:12:37,156 --> 00:12:39,558 It's like a marathon almost, isn't it? 173 00:12:39,625 --> 00:12:40,625 Yeah. 174 00:12:41,327 --> 00:12:43,529 Yeah, twins, hey? Who would have thought it? 175 00:12:46,599 --> 00:12:48,501 Fourteen minutes. 176 00:12:56,375 --> 00:12:58,978 The question that we're trying to answer is, 177 00:12:59,345 --> 00:13:01,847 "Will my baby sleep through the night?" 178 00:13:01,914 --> 00:13:04,917 That's really what they want to know, when that will happen. 179 00:13:05,785 --> 00:13:07,753 We have started to analyze the data, 180 00:13:08,120 --> 00:13:09,688 and we see trends. 181 00:13:10,189 --> 00:13:13,425 But to be very clear, this is very early days, okay? 182 00:13:13,492 --> 00:13:16,228 Uh, we are not comfortable to publish this yet. 183 00:13:18,030 --> 00:13:20,800 But what you see here is that at one month, 184 00:13:20,866 --> 00:13:25,604 there's no clear pattern of when the baby's eating or sleeping, okay? 185 00:13:26,572 --> 00:13:28,841 So, basically sleeping and eating at random, 186 00:13:28,908 --> 00:13:30,776 which is very taxing on the parents. 187 00:13:31,477 --> 00:13:32,978 This was in fact the problem. 188 00:13:33,045 --> 00:13:34,914 - Yes. - Right here in graph form. 189 00:13:36,515 --> 00:13:38,484 But then, within about four months... 190 00:13:39,952 --> 00:13:42,454 an initial cycle is emerging. 191 00:13:45,224 --> 00:13:48,060 And by the time you get to eight months, 192 00:13:48,694 --> 00:13:50,529 there's a hint of a pattern. 193 00:13:52,231 --> 00:13:53,899 And then within a year, 194 00:13:54,333 --> 00:13:56,368 this clear pattern emerges. 195 00:13:58,270 --> 00:13:59,839 Babies are sleeping through the night. 196 00:14:01,006 --> 00:14:04,410 They sleep soon after feeding in the morning, 197 00:14:06,145 --> 00:14:10,082 and about five hours later in the early afternoon, 198 00:14:10,149 --> 00:14:14,220 that's the third time in which they very reliably sleep. 199 00:14:24,463 --> 00:14:26,799 If we had a big enough data set, 200 00:14:27,466 --> 00:14:31,537 this would be very simple to turn into a website 201 00:14:32,438 --> 00:14:35,341 where an individual person could come and say, 202 00:14:35,407 --> 00:14:39,111 "Oh, my kid is within the normal limits. 203 00:14:41,347 --> 00:14:42,514 Everything's fine." 204 00:14:43,349 --> 00:14:45,584 Or, "Everything is likely to be fine." 205 00:14:45,651 --> 00:14:49,655 Or, "My kid is outside of the normal limits." 206 00:14:52,191 --> 00:14:55,794 That would be an early sign that you could recognize 207 00:14:55,861 --> 00:15:00,065 maybe there's a reason for concern, or some kind of intervention, 208 00:15:00,132 --> 00:15:02,434 or, at least, you know, close scrutiny. 209 00:15:04,904 --> 00:15:07,306 The really amazing thing 210 00:15:08,240 --> 00:15:10,009 is to recognize 211 00:15:10,075 --> 00:15:14,713 that the transition from no sleep pattern to a sleep pattern 212 00:15:14,780 --> 00:15:17,449 is something that almost all babies do. 213 00:15:19,184 --> 00:15:21,020 And it'll take about a year. 214 00:15:35,034 --> 00:15:38,070 So, yeah, it took about a half an hour, 215 00:15:38,137 --> 00:15:40,973 I'd say, to get them both to sleep, 216 00:15:41,040 --> 00:15:42,741 which is rare. 217 00:15:42,808 --> 00:15:44,376 That does not normally happen. 218 00:15:49,581 --> 00:15:51,250 I can either... 219 00:15:51,984 --> 00:15:56,588 A, have some "breakfast," which is actually lunch now... 220 00:15:57,189 --> 00:15:58,189 um... 221 00:15:58,490 --> 00:16:03,963 or... I can decide to tidy up this whole place. 222 00:16:04,763 --> 00:16:06,265 So sometimes it's like... 223 00:16:07,666 --> 00:16:09,902 you've got to, like, weigh up what's more important, 224 00:16:09,969 --> 00:16:11,270 eating food 225 00:16:12,004 --> 00:16:15,474 or... having a tidier place to live. 226 00:16:38,063 --> 00:16:41,166 This is the tricky part where I dare not even move 227 00:16:41,233 --> 00:16:43,702 until I'm confident he's definitely gone, 228 00:16:44,536 --> 00:16:47,139 and I can actually get him back and in his crib. 229 00:16:49,675 --> 00:16:51,777 Now he's kind of back awake. 230 00:16:56,348 --> 00:16:57,348 That's it. 231 00:17:09,862 --> 00:17:11,697 I've always been a terrible sleeper. 232 00:17:12,231 --> 00:17:16,201 And, you know, there's this old adage that we study the things that we're bad at. 233 00:17:17,970 --> 00:17:20,239 I always wake up in a groggy state. 234 00:17:20,773 --> 00:17:22,141 I never use an alarm clock. 235 00:17:23,008 --> 00:17:24,309 Alarm clocks are terrible, 236 00:17:24,877 --> 00:17:27,079 you know, 'cause it's important to wake up naturally. 237 00:17:29,715 --> 00:17:31,183 Despite my knowing that, 238 00:17:31,784 --> 00:17:35,354 I still manage to get bad night's sleep after bad night's sleep. 239 00:17:37,289 --> 00:17:38,289 Woe is me. 240 00:17:40,926 --> 00:17:44,196 All animals on this planet have a 24-hour cycle 241 00:17:44,263 --> 00:17:46,031 that is tightly linked to the sun. 242 00:17:47,699 --> 00:17:49,368 That's called a circadian rhythm. 243 00:17:50,302 --> 00:17:53,539 So for us humans, you're awake during the day, 244 00:17:53,605 --> 00:17:56,041 and asleep during the night in the brain, 245 00:17:56,108 --> 00:17:58,210 and it is regulated by the master clock 246 00:17:58,577 --> 00:18:01,880 located within a part of the brain called the hypothalamus. 247 00:18:02,815 --> 00:18:04,249 But that's not true for babies. 248 00:18:07,286 --> 00:18:10,055 When I first started getting involved in sleep research, 249 00:18:10,355 --> 00:18:12,024 I started studying baby rats. 250 00:18:14,660 --> 00:18:16,061 What happens with babies, 251 00:18:16,662 --> 00:18:18,263 baby humans, baby rats, 252 00:18:18,564 --> 00:18:21,700 um, is that they cycle very rapidly between sleep and wake. 253 00:18:24,636 --> 00:18:27,973 If you're looking at a baby like this, it's just complete relaxation... 254 00:18:29,174 --> 00:18:30,509 and then all of a sudden... 255 00:18:31,443 --> 00:18:32,443 Boom. Awake. 256 00:18:34,713 --> 00:18:35,981 And you can tell it's awake 257 00:18:36,048 --> 00:18:39,384 because the left arm and the left leg are in the air at the same time. 258 00:18:40,085 --> 00:18:42,488 And then, look at that, it just goes from this... 259 00:18:42,855 --> 00:18:43,789 vroom. 260 00:18:43,856 --> 00:18:44,856 Asleep. 261 00:18:47,759 --> 00:18:49,561 So over the course of 24 hours, 262 00:18:49,895 --> 00:18:52,798 they can have hundreds of cycles between sleep and wake. 263 00:18:53,265 --> 00:18:55,367 And so that's what makes babies different. 264 00:18:56,268 --> 00:18:58,270 So we wanted to know, you know, 265 00:18:58,337 --> 00:18:59,338 why would that be? 266 00:19:02,174 --> 00:19:04,676 So we started out with a very simple experiment. 267 00:19:05,377 --> 00:19:08,680 We put a dye into the brain of a newborn rat 268 00:19:08,747 --> 00:19:10,916 in the master clock region. 269 00:19:12,818 --> 00:19:17,623 And we wanted to know at what age does that part of the brain connect up 270 00:19:17,689 --> 00:19:20,759 with other parts of the brain that are important for sleep and wake? 271 00:19:21,627 --> 00:19:25,931 When these baby rats were born, we have all of this red dye here 272 00:19:25,998 --> 00:19:27,699 where the master clock is... 273 00:19:29,701 --> 00:19:31,904 but when we look closer to the brain stem, 274 00:19:32,437 --> 00:19:34,006 we see nothing. 275 00:19:34,072 --> 00:19:35,440 We see no labeling at all. 276 00:19:35,841 --> 00:19:38,610 There's no... So it's as if the wires connecting 277 00:19:38,677 --> 00:19:41,613 this part of the brain to this part of the brain just, um... 278 00:19:41,680 --> 00:19:42,814 just don't exist yet. 279 00:19:44,216 --> 00:19:46,451 But if we come over here to a week later, 280 00:19:46,518 --> 00:19:48,754 we now see all of this area now is red. 281 00:19:48,820 --> 00:19:51,190 It was black over here, it's now red over here, 282 00:19:51,256 --> 00:19:53,425 and that's an indication that this part of the brain 283 00:19:53,492 --> 00:19:55,561 is now talking to this part of the brain. 284 00:19:56,795 --> 00:19:59,364 And what we found was it's also happening in humans. 285 00:20:00,365 --> 00:20:02,534 If you look at a model brain, 286 00:20:03,302 --> 00:20:04,870 I'm going to pull it apart 287 00:20:06,605 --> 00:20:09,508 to expose the brain stem, 288 00:20:09,875 --> 00:20:13,845 and the sleep/wake cycles are largely regulated in this region down here. 289 00:20:14,846 --> 00:20:16,582 And then, up here in the hypothalamus, 290 00:20:16,648 --> 00:20:20,152 this is where the so-called master clock is located, 291 00:20:20,219 --> 00:20:23,121 and that's going to be governing your circadian rhythm. 292 00:20:23,722 --> 00:20:27,259 And in newborn infants these areas are not talking to each other, 293 00:20:27,559 --> 00:20:29,361 um, either directly or indirectly. 294 00:20:31,897 --> 00:20:33,999 What that means is that those connections 295 00:20:34,066 --> 00:20:36,235 are what's responsible for 296 00:20:36,301 --> 00:20:38,136 giving rise to the circadian rhythm. 297 00:20:43,108 --> 00:20:44,348 Maybe if you're a parent 298 00:20:44,376 --> 00:20:48,080 and you're struggling to deal with the fact that you're sleep deprived 299 00:20:48,146 --> 00:20:50,882 because your baby is not, you know, getting through the night, 300 00:20:51,650 --> 00:20:52,551 you might just think, 301 00:20:52,618 --> 00:20:54,899 "Well, I just have to wait for these connections to form." 302 00:20:57,289 --> 00:20:59,258 Because prior to three to four months, 303 00:21:00,025 --> 00:21:01,627 there's very little you can do 304 00:21:01,693 --> 00:21:03,895 to help babies sleeping throughout the night. 305 00:21:06,431 --> 00:21:08,133 It's just gonna have to wait for the... 306 00:21:08,200 --> 00:21:10,702 for the circadian system to connect them. 307 00:21:19,511 --> 00:21:22,748 Me and Rachel, we're actually going to try and be proactive. 308 00:21:26,852 --> 00:21:28,687 Survive having a toddler and a baby, 309 00:21:28,754 --> 00:21:30,355 - that might be a... - That's easy. 310 00:21:30,422 --> 00:21:32,524 - Sure. - I got all the confidence. 311 00:21:32,624 --> 00:21:34,993 You haven't done anything on your own with both of them, 312 00:21:35,060 --> 00:21:36,228 so you can't give me that. 313 00:21:36,328 --> 00:21:38,363 We'll test me. I'll have them both to myself 314 00:21:38,430 --> 00:21:41,433 - for a whole day. - You wouldn't... No, you could not do it. 315 00:21:41,500 --> 00:21:42,734 Let's put a bet on it. 316 00:21:42,801 --> 00:21:44,279 - You think... - Fifteen pounds? 317 00:21:44,303 --> 00:21:46,038 - Lily how she is at the moment... - Yeah. 318 00:21:46,104 --> 00:21:48,573 ...crying, with Willow crying at the same time. 319 00:21:48,640 --> 00:21:49,640 Fifteen pounds. 320 00:21:49,675 --> 00:21:52,477 Fifteen quid? It should be more than that. Fifty. 321 00:21:52,544 --> 00:21:53,544 Shake. 322 00:22:00,619 --> 00:22:02,287 - Say "please." - Please. 323 00:22:03,689 --> 00:22:06,291 What about fish fingers, Lily? Do you want fish fingers? 324 00:22:13,532 --> 00:22:14,532 Good job. 325 00:22:15,467 --> 00:22:17,269 Yeah? No? 326 00:22:17,336 --> 00:22:18,336 Lily... 327 00:22:20,172 --> 00:22:21,840 can I have the torch, please? 328 00:22:22,641 --> 00:22:23,641 Hey. 329 00:22:24,476 --> 00:22:26,578 Shh... 330 00:22:28,180 --> 00:22:30,248 There. Was it too cold before? 331 00:22:32,417 --> 00:22:34,052 Ugh. Lily. 332 00:22:35,387 --> 00:22:36,655 Oh, I know. 333 00:22:41,927 --> 00:22:42,927 Lily. 334 00:22:44,196 --> 00:22:45,196 Lily. 335 00:22:45,731 --> 00:22:47,399 Put them back for Daddy 336 00:22:47,466 --> 00:22:48,734 and I'll get you a lolly. 337 00:22:56,141 --> 00:22:57,342 Hey, are you all right? 338 00:22:57,409 --> 00:22:59,611 - How you getting on? - I'm fine. How are they? 339 00:22:59,911 --> 00:23:02,280 They're about to sleep. 340 00:23:02,347 --> 00:23:04,449 I can hear someone, so I know they're not. 341 00:23:04,916 --> 00:23:06,752 - Have you not given them a bath yet? - No. 342 00:23:06,818 --> 00:23:08,220 I haven't had the opportunity, 343 00:23:08,286 --> 00:23:10,055 - to be honest. - What have you been doing? 344 00:23:10,122 --> 00:23:11,656 Just tidying up mushrooms. 345 00:23:11,723 --> 00:23:13,392 So they're all over the carpet. 346 00:23:14,192 --> 00:23:16,728 - Okay, well, I'll let you get on. - All right, then. 347 00:23:17,062 --> 00:23:18,964 - I'll see you later. - Bye. 348 00:23:26,171 --> 00:23:27,205 Mummy. 349 00:23:28,273 --> 00:23:29,273 Hi, darling. 350 00:23:33,044 --> 00:23:37,015 Now, why aren't you asleep? You've not had a nap today, have you? 351 00:23:37,082 --> 00:23:38,583 No. 352 00:23:39,918 --> 00:23:41,386 Look at Mummy's hair. 353 00:23:42,921 --> 00:23:44,489 Aww, give her a kiss. 354 00:23:45,390 --> 00:23:46,792 Say, "You look nice, Mummy." 355 00:23:47,492 --> 00:23:49,428 Oh, that's nice. 356 00:23:50,429 --> 00:23:52,306 - So... - Why haven't you been like that with me? 357 00:23:52,330 --> 00:23:53,432 How have they been? 358 00:23:55,600 --> 00:23:58,603 - Morning. Morning. - No, not morning time, bedtime. 359 00:23:58,670 --> 00:24:01,106 - I feel like you played a joke on me. - Morning. 360 00:24:01,173 --> 00:24:02,274 Oh, sorry, what? 361 00:24:02,441 --> 00:24:04,709 - Was it hard work? - Yeah, it's bad. Yeah. 362 00:24:07,579 --> 00:24:09,247 So who won the bet then, Adam? 363 00:24:09,314 --> 00:24:10,634 - Morning. - Yeah, you win. 364 00:24:21,960 --> 00:24:22,994 Is that better? 365 00:24:23,462 --> 00:24:24,462 A bit cooler? 366 00:24:31,136 --> 00:24:32,504 Good stretch! 367 00:24:33,104 --> 00:24:34,104 Ah! 368 00:24:35,140 --> 00:24:36,141 Ah... 369 00:24:39,344 --> 00:24:40,812 Ah? Ah... 370 00:24:43,281 --> 00:24:45,851 Amazing. It's like, I'm sure he's waking up there. 371 00:24:46,384 --> 00:24:47,384 Nope. 372 00:24:48,553 --> 00:24:49,553 Nope. 373 00:24:50,422 --> 00:24:53,825 Just constantly watching what he's doing, wondering what he's thinking. 374 00:24:54,693 --> 00:24:57,429 Look, he's giving a good grin there now. 375 00:24:58,663 --> 00:25:00,065 I don't know whether he's dreaming, 376 00:25:00,131 --> 00:25:02,601 maybe he's dreaming now. Maybe that's a big thing. 377 00:25:04,002 --> 00:25:06,371 'Cause he does do these grins when he's asleep. 378 00:25:06,605 --> 00:25:09,140 And then throws his eyes in the back of his head. 379 00:25:11,610 --> 00:25:15,313 We've discussed a lot about whether we think he dreams or not. 380 00:25:17,883 --> 00:25:20,952 But we were sort of saying he doesn't really have any memories or any... 381 00:25:21,987 --> 00:25:24,022 any experiences yet to dream about. 382 00:25:25,557 --> 00:25:28,326 So unless he's just dreaming about being submerged in... 383 00:25:28,660 --> 00:25:30,962 in water and being upside down and... 384 00:25:31,496 --> 00:25:33,765 hearing a heartbeat and being very warm... 385 00:25:44,609 --> 00:25:46,378 When we studied these rats, 386 00:25:46,845 --> 00:25:48,947 I started noticing all of this twitching. 387 00:25:49,514 --> 00:25:52,050 I was using twitching as a sign that the animals were sleeping. 388 00:25:53,652 --> 00:25:55,253 But when you see a behavior like this, 389 00:25:55,320 --> 00:25:56,922 and it's remarkable behavior... 390 00:25:58,657 --> 00:26:01,026 In many animals it looks like a seizure... 391 00:26:02,327 --> 00:26:05,096 you start to wonder, what do these twitches represent? 392 00:26:07,966 --> 00:26:09,134 This is my dog, Katie... 393 00:26:10,268 --> 00:26:13,305 and you can see the vigorous twitching in both of her limbs, 394 00:26:13,872 --> 00:26:15,874 and even some fluttering in the face. 395 00:26:17,275 --> 00:26:20,045 Most people look at this and they think that Katie is, 396 00:26:20,111 --> 00:26:22,080 you know, chasing rabbits in her sleep. 397 00:26:26,585 --> 00:26:29,354 The historical view going back hundreds of years, if not millennia, 398 00:26:29,421 --> 00:26:32,290 is that twitching is just a byproduct of dreams. 399 00:26:32,824 --> 00:26:36,962 And so if you dream about running, your legs will kick a little bit. 400 00:26:37,028 --> 00:26:38,964 That was the dominant view for... 401 00:26:39,030 --> 00:26:40,999 Well, some people still believe it. 402 00:26:43,034 --> 00:26:47,372 And there was this contrast between what I was seeing with my own two eyes 403 00:26:47,439 --> 00:26:50,041 and what I was reading in the scientific literature. 404 00:26:50,709 --> 00:26:53,211 So over time I just kept asking questions about it. 405 00:26:54,379 --> 00:26:58,083 And it evolved into a whole research program that I never anticipated. 406 00:27:18,103 --> 00:27:19,904 So, let's go into the lab. 407 00:27:24,743 --> 00:27:28,780 So here is, uh, the meeting room for the parents. 408 00:27:29,381 --> 00:27:31,716 And you can see our baby subject. 409 00:27:34,019 --> 00:27:36,421 So for these experiments, we're trying to do 410 00:27:36,488 --> 00:27:38,690 very precise measures of twitching, 411 00:27:39,591 --> 00:27:42,661 and we want to know, can we see evidence of brain activity 412 00:27:42,727 --> 00:27:45,096 that's related specifically to the movements 413 00:27:45,163 --> 00:27:47,065 that we're picking up during sleep? 414 00:27:47,599 --> 00:27:48,599 - Okay. - All right. 415 00:27:49,000 --> 00:27:50,168 Here we go. 416 00:27:50,902 --> 00:27:52,222 - Hey. - Okay. 417 00:27:53,271 --> 00:27:56,474 - Oh, good job! - Cover over her eventually. 418 00:27:56,541 --> 00:27:58,043 Here for like five seconds. 419 00:27:58,843 --> 00:27:59,878 Here we go, baby. 420 00:28:00,812 --> 00:28:02,347 All right, here we go. 421 00:28:03,515 --> 00:28:05,050 The experiment is very simple. 422 00:28:05,116 --> 00:28:05,984 Babies come in, 423 00:28:06,051 --> 00:28:10,021 they're fitted with a cap of electrodes that we use to measure EEG activity, 424 00:28:10,088 --> 00:28:13,358 and then we put them in a car seat, basically, and we let them go to sleep. 425 00:28:13,425 --> 00:28:15,860 It's the easiest experiment you can do. I mean... 426 00:28:32,877 --> 00:28:33,945 Welcome to the... 427 00:28:34,012 --> 00:28:35,780 Welcome to the world of baby research. 428 00:28:41,853 --> 00:28:43,588 I'm just going to start recording. 429 00:28:44,422 --> 00:28:45,422 All right. 430 00:28:55,533 --> 00:28:57,453 See the twitch right there? 431 00:28:57,502 --> 00:28:58,570 Yep, there we go. 432 00:29:01,606 --> 00:29:04,309 Huh. The readout is a lot of lines. 433 00:29:08,546 --> 00:29:11,616 This baby's a champion twitcher. Look at this. Look at this lovely twitch. 434 00:29:11,683 --> 00:29:13,852 Oh, yeah. This is fantastic. 435 00:29:15,253 --> 00:29:16,253 Twitch. 436 00:29:17,989 --> 00:29:18,989 Twitch. 437 00:29:25,230 --> 00:29:26,230 Hey, bubby. 438 00:29:28,299 --> 00:29:29,868 We need to get a lot more of this, 439 00:29:29,934 --> 00:29:32,570 and then the real challenge is the analytical side. 440 00:29:37,675 --> 00:29:40,779 What we found was when a baby is twitching, what's happening, 441 00:29:40,845 --> 00:29:42,714 similar to when you watch a submarine movie... 442 00:29:44,215 --> 00:29:47,685 when all the people on the submarine are being asked to be very, very quiet 443 00:29:47,752 --> 00:29:49,854 because they're about to do a sonar test... 444 00:29:56,361 --> 00:29:58,730 that's similar to when these babies are asleep. 445 00:30:01,599 --> 00:30:03,401 There is very little brain activity... 446 00:30:06,604 --> 00:30:07,964 and then when a baby is twitching, 447 00:30:08,606 --> 00:30:09,606 boom. 448 00:30:09,808 --> 00:30:11,209 That is a sonar test. 449 00:30:11,276 --> 00:30:13,912 The captain of the submarine will shoot off one ping only 450 00:30:14,379 --> 00:30:15,413 out into the water. 451 00:30:18,149 --> 00:30:20,218 And that pinging creates an echo 452 00:30:21,152 --> 00:30:23,021 that is allowing you to see what's out there. 453 00:30:23,488 --> 00:30:25,933 In the same way that the brain is kind of trying to figure out, 454 00:30:25,957 --> 00:30:27,592 "What's out there?" 455 00:30:28,626 --> 00:30:30,762 You know, "What do my limbs do?" 456 00:30:31,062 --> 00:30:32,430 "How many muscles do I have?" 457 00:30:33,832 --> 00:30:35,432 "How are they connected to one another?" 458 00:30:37,802 --> 00:30:41,673 And what we think is happening with twitches is that you're mapping your body. 459 00:30:42,507 --> 00:30:44,347 You're learning about the muscles of your body, 460 00:30:44,375 --> 00:30:46,778 you're learning about how those muscles control joints, 461 00:30:46,845 --> 00:30:48,413 you learn about the relationships, 462 00:30:48,479 --> 00:30:51,516 the synergies among the different muscles in your limbs. 463 00:30:53,885 --> 00:30:57,455 A single twitch can produce activity in hundreds, 464 00:30:57,522 --> 00:30:58,923 probably thousands, of neurons. 465 00:31:01,526 --> 00:31:03,661 And that's what we see in the EEG activity 466 00:31:03,728 --> 00:31:05,330 of these human infants. 467 00:31:06,097 --> 00:31:09,300 It is how the baby learns what kind of body that it has. 468 00:31:14,172 --> 00:31:15,540 That, I think, provides 469 00:31:15,607 --> 00:31:19,544 even further evidence that there's something special 470 00:31:19,611 --> 00:31:21,479 about twitches in early development. 471 00:31:21,913 --> 00:31:24,482 And that's guiding us now in the work that we do. 472 00:31:33,324 --> 00:31:36,728 Rich and I have been trying a little bit of sleep training this week. 473 00:31:36,794 --> 00:31:39,697 We've been putting Pascoe down, uh, for sleep 474 00:31:39,764 --> 00:31:42,066 in his nursery for naps during the day. 475 00:31:42,567 --> 00:31:44,569 We're going to attempt to put him down 476 00:31:44,636 --> 00:31:49,307 in the Sleepyhead in his room for a nap. 477 00:31:51,209 --> 00:31:52,529 I've also promised Rich, 478 00:31:52,577 --> 00:31:55,013 if he manages to put him down successfully, 479 00:31:55,079 --> 00:31:56,481 he can go for a bike ride. 480 00:32:44,629 --> 00:32:46,097 Shh... 481 00:32:47,465 --> 00:32:49,267 Shh... 482 00:32:51,302 --> 00:32:53,304 Shh... 483 00:33:11,189 --> 00:33:14,659 Some people are night owls, but I'm very much the opposite. 484 00:33:19,230 --> 00:33:20,230 I'm a lark. 485 00:33:20,999 --> 00:33:23,501 I like to get up early in the morning. 486 00:33:27,005 --> 00:33:29,607 It's the time where I'm very clear-headed, 487 00:33:29,674 --> 00:33:32,410 I can see through my problems really well. 488 00:33:36,247 --> 00:33:38,158 The benefit of a clear good night's sleep 489 00:33:38,182 --> 00:33:39,650 with a fresh morning run... 490 00:33:42,954 --> 00:33:45,289 it's definitely when I think the best. 491 00:33:50,094 --> 00:33:53,731 I feel like I got into studying sleep accidentally. 492 00:33:53,798 --> 00:33:57,101 My research background was in learning. 493 00:34:00,171 --> 00:34:03,474 In about the mid-2000s, I was a postdoc 494 00:34:03,541 --> 00:34:06,644 at UC Berkeley as a neuroscientist. 495 00:34:07,612 --> 00:34:10,381 I remember this study coming out 496 00:34:10,448 --> 00:34:14,519 saying that sleep deprivation in young adults is bad for the memory... 497 00:34:15,920 --> 00:34:18,723 and that sleep itself was doing something good. 498 00:34:20,725 --> 00:34:24,328 That was really novel and somewhat revolutionary. 499 00:34:25,563 --> 00:34:27,265 And because of my background, 500 00:34:27,331 --> 00:34:30,034 I was in a good position to be able to look at that. 501 00:34:32,370 --> 00:34:33,805 But I want to understand 502 00:34:34,672 --> 00:34:37,175 how does sleep make learning and memory better? 503 00:34:45,950 --> 00:34:47,485 Got you! Balloon! 504 00:34:47,985 --> 00:34:48,985 Oh... 505 00:34:49,720 --> 00:34:50,720 Hey! 506 00:34:53,624 --> 00:34:55,393 Some days she won't sleep at all, 507 00:34:55,460 --> 00:34:57,395 and some days she sleeps quite a lot. 508 00:34:59,130 --> 00:35:03,134 She had a ten-minute sleep this morning, and that got interrupted by the doorbell. 509 00:35:04,335 --> 00:35:06,204 She's beyond tired now. 510 00:35:07,138 --> 00:35:09,907 I've just tried to get her to sleep again, and she's just not. 511 00:35:12,610 --> 00:35:14,078 I think she wants to. 512 00:35:20,151 --> 00:35:21,511 Willow's asleep. 513 00:35:22,420 --> 00:35:24,255 You've got to be really quiet. 514 00:35:24,522 --> 00:35:25,522 Yeah. 515 00:35:25,957 --> 00:35:28,693 Her eyes are closed because she's... 516 00:35:31,229 --> 00:35:32,396 Good night. 517 00:35:33,998 --> 00:35:36,400 She's having a little sleep, isn't she? 518 00:35:38,603 --> 00:35:39,603 Aww. 519 00:35:52,950 --> 00:35:55,553 So, come on in, I'll show you around. 520 00:35:57,388 --> 00:35:59,423 We have a waiting room. Hi. 521 00:36:00,391 --> 00:36:02,793 So our families come in, uh, they might... 522 00:36:02,860 --> 00:36:06,631 We meet them and we get them ready to come into the sleep lab. 523 00:36:08,866 --> 00:36:12,537 When we started this project, studying babies, 524 00:36:12,603 --> 00:36:16,207 there wasn't much that had been done in relation to sleep. 525 00:36:16,774 --> 00:36:18,910 They really weren't things that would get to the heart 526 00:36:18,976 --> 00:36:21,078 of how important sleep was for memory. 527 00:36:23,581 --> 00:36:26,350 We know that infants need a couple naps a day, 528 00:36:27,418 --> 00:36:30,087 so in our study, we wanted to find out... 529 00:36:30,922 --> 00:36:33,691 if naps are essential to protecting the memories. 530 00:36:34,792 --> 00:36:35,792 All right. 531 00:36:36,494 --> 00:36:38,196 Come on, big girl! 532 00:36:38,596 --> 00:36:39,596 Ready? 533 00:36:40,231 --> 00:36:42,533 This is where we're gonna play with some toys. 534 00:36:42,600 --> 00:36:44,502 - Fun. - This is gonna be your chair. 535 00:36:44,569 --> 00:36:46,437 I'm gonna pull it closer this way, though. 536 00:36:50,041 --> 00:36:51,876 Are you ready to see my toys? 537 00:36:53,377 --> 00:36:54,377 What do we have? 538 00:36:55,680 --> 00:36:56,681 There we go. 539 00:36:58,282 --> 00:37:01,652 So we devised this experiment starting with nine-month-olds, 540 00:37:01,953 --> 00:37:03,955 and we teach them this task, and... 541 00:37:04,021 --> 00:37:08,025 which for an infant means to show them how to play with toys 542 00:37:08,092 --> 00:37:09,527 that they hadn't seen before. 543 00:37:13,497 --> 00:37:15,466 They are shown eight toys, 544 00:37:15,533 --> 00:37:19,337 and four of those toys we play with in a certain way. 545 00:37:21,305 --> 00:37:24,342 Not the regular action an infant would be expected to take. 546 00:37:34,685 --> 00:37:35,685 Uh-oh. 547 00:37:44,895 --> 00:37:45,896 What is that? 548 00:37:49,033 --> 00:37:51,168 Then we give them back those toys 549 00:37:51,802 --> 00:37:55,106 to see if they remember the actions we performed with the toys. 550 00:38:19,597 --> 00:38:22,033 What do you think? You want to put on this hat? 551 00:38:22,099 --> 00:38:24,568 After the first step in the experiment, 552 00:38:24,635 --> 00:38:26,704 we record brain activity. 553 00:38:28,172 --> 00:38:31,275 That's when the fun begins for me as a neuroscientist 554 00:38:31,342 --> 00:38:34,245 to really understand whether sleep has an impact 555 00:38:34,312 --> 00:38:35,312 on their memory. 556 00:38:36,747 --> 00:38:38,716 After that, we have two scenarios. 557 00:38:40,885 --> 00:38:42,119 In the first scenario, 558 00:38:42,186 --> 00:38:46,057 the babies are kept awake during the time when they would normally be napping. 559 00:38:47,124 --> 00:38:48,626 - All right. - I can do that. 560 00:38:49,527 --> 00:38:53,030 Put this here. All right, so we have our timer. 561 00:38:55,533 --> 00:38:58,102 And we then see if they remember the actions 562 00:38:58,169 --> 00:38:59,704 we performed with the toys. 563 00:39:00,738 --> 00:39:06,510 So here we have our second infant, and this is after his wake period. 564 00:39:07,311 --> 00:39:09,113 What do we do with this? 565 00:39:22,493 --> 00:39:25,896 In the immediate condition he did dump these right out, right? 566 00:39:25,963 --> 00:39:26,963 Mm-hmm. 567 00:39:27,798 --> 00:39:30,701 It looks like he's more taking the objects out one at a time. 568 00:39:31,769 --> 00:39:34,614 It does seem like there may have been a decay in memory here. 569 00:39:34,638 --> 00:39:35,638 Yeah. 570 00:39:36,674 --> 00:39:38,843 When that baby skipped naptime, 571 00:39:39,310 --> 00:39:41,345 he didn't remember any of the objects. 572 00:39:43,781 --> 00:39:46,484 So you can hang out in here. 573 00:39:49,353 --> 00:39:52,990 In the second scenario, we let the babies take their normal nap. 574 00:39:55,192 --> 00:39:57,762 Just cue, signal, call if you need anything. 575 00:39:57,828 --> 00:39:58,828 Okay. 576 00:40:02,733 --> 00:40:03,901 We let them sleep, 577 00:40:04,602 --> 00:40:06,437 and then, when the infant wakes up, 578 00:40:06,504 --> 00:40:09,240 we can see whether they remembered those toys. 579 00:40:09,907 --> 00:40:11,675 All right. 580 00:40:11,742 --> 00:40:13,577 - Let's take that one out. - Welcome back. 581 00:40:13,644 --> 00:40:15,312 We're gonna take that one out. 582 00:40:15,379 --> 00:40:16,614 So this one, 583 00:40:17,314 --> 00:40:18,883 she just had a good solid nap. 584 00:40:20,284 --> 00:40:22,052 What do we do with this? 585 00:40:26,157 --> 00:40:28,592 The action for this is to open the box, 586 00:40:28,659 --> 00:40:30,961 and then take out the object that's in it, yeah. 587 00:40:53,250 --> 00:40:54,084 Uh-oh. 588 00:40:54,151 --> 00:40:55,186 It's consistent with 589 00:40:55,252 --> 00:40:57,455 having a strong memory for that after the nap. 590 00:40:57,521 --> 00:40:59,023 Hi, baby. 591 00:41:05,729 --> 00:41:07,765 As soon as she gets the cymbals, 592 00:41:07,832 --> 00:41:08,966 she's hitting them together. 593 00:41:12,136 --> 00:41:14,638 - Chain link. - Oh, and the chain link. 594 00:41:14,705 --> 00:41:16,307 So the action for this was 595 00:41:16,373 --> 00:41:20,578 to pull the two blue chain links apart and push them together again. 596 00:41:21,378 --> 00:41:22,378 Good. 597 00:41:22,480 --> 00:41:23,480 Ah. 598 00:41:23,881 --> 00:41:27,818 She seems to remember three target objects, 599 00:41:27,885 --> 00:41:31,288 which is pretty impressive, and I guess consistent with what we would expect, 600 00:41:31,355 --> 00:41:33,724 'cause she just had a nice, solid nap 601 00:41:33,791 --> 00:41:36,694 and it seems to have protected those memories. 602 00:41:41,398 --> 00:41:44,335 So what we're seeing in this study 603 00:41:44,568 --> 00:41:48,606 is that the infants are remembering more of those toys, 604 00:41:48,672 --> 00:41:50,140 or what we did with the toys, 605 00:41:50,207 --> 00:41:53,477 if they took a nap versus when they stayed awake during naptime. 606 00:41:56,680 --> 00:41:59,183 And then we get the exciting part of really digging in 607 00:41:59,250 --> 00:42:00,684 and trying to make sense of it. 608 00:42:02,553 --> 00:42:06,090 What was sleep doing to the brain that is so important for memory? 609 00:42:10,961 --> 00:42:15,666 And so these waves here is a recording of just the brain activity, 610 00:42:15,733 --> 00:42:17,034 um, during sleep. 611 00:42:18,736 --> 00:42:21,705 And these bursts you can see stand out from that record. 612 00:42:21,772 --> 00:42:23,474 Those are called "sleep spindles." 613 00:42:24,341 --> 00:42:27,144 They happen simultaneously across the brain, 614 00:42:27,211 --> 00:42:31,148 which provides a good mechanism for the brain to take information 615 00:42:31,215 --> 00:42:34,018 from short-term memory area, called the hippocampus, 616 00:42:34,451 --> 00:42:37,755 and relocate it in the long-term storage, called cortex. 617 00:42:39,089 --> 00:42:41,859 And that simultaneous burst of activity... 618 00:42:43,727 --> 00:42:47,565 is thought to support the idea that the memories could be moved out 619 00:42:47,631 --> 00:42:50,467 from the short-term hippocampus storage 620 00:42:50,534 --> 00:42:52,202 out to the longer-term storage 621 00:42:52,269 --> 00:42:55,673 by simultaneously firing all of these different parts of the brain 622 00:42:55,739 --> 00:42:56,739 at the same time. 623 00:42:58,342 --> 00:43:02,580 But in an infant, their hippocampus is smaller. 624 00:43:05,015 --> 00:43:08,852 So babies need to sleep in multiple sleep bouts, 625 00:43:08,919 --> 00:43:10,854 two naps and that overnight sleep, 626 00:43:10,921 --> 00:43:13,023 because they have to take that information 627 00:43:13,090 --> 00:43:15,125 that's piled up in their short-term storage 628 00:43:15,192 --> 00:43:18,529 and move it to its permanent location more frequently than we do. 629 00:43:27,438 --> 00:43:29,640 These are the kinds of results I get excited about. 630 00:43:31,675 --> 00:43:34,511 It struck me as a scientist, it struck me as a mom. 631 00:43:36,380 --> 00:43:38,782 Naps are important, and we need to value the time 632 00:43:38,849 --> 00:43:40,851 that the infants are spending sleeping. 633 00:43:43,420 --> 00:43:45,689 Yay! 634 00:43:45,756 --> 00:43:46,957 Ha! 635 00:43:47,024 --> 00:43:52,496 It's not only something that is that downtime for a mom to take a break, 636 00:43:52,563 --> 00:43:55,099 but that it's actually serving a function for these infants. 637 00:43:55,165 --> 00:43:57,334 It's when they're laying down those memories 638 00:43:58,435 --> 00:44:01,405 that are the foundation for everything that they go on to do. 639 00:44:04,108 --> 00:44:06,343 - Hello? - We can hear you and see you. 640 00:44:06,410 --> 00:44:07,311 Can you see us? 641 00:44:07,378 --> 00:44:08,879 No, you gotta put your video on. 642 00:44:08,946 --> 00:44:10,581 Hey, there we are. 643 00:44:10,648 --> 00:44:12,983 - Look. Who's that? - Who's that? 644 00:44:13,050 --> 00:44:15,085 Hi there, Mr. Pascoe! 645 00:44:15,152 --> 00:44:15,986 - Hi. - Hello. 646 00:44:16,053 --> 00:44:16,920 Who is that? 647 00:44:16,987 --> 00:44:18,756 - Hello. - Hi. 648 00:44:18,822 --> 00:44:20,257 Are you being a good boy? 649 00:44:20,457 --> 00:44:21,892 Ooh! 650 00:44:21,959 --> 00:44:24,161 Are you still sleeping through the night? 651 00:44:24,461 --> 00:44:26,101 - Yeah. - What do you say? 652 00:44:26,130 --> 00:44:27,931 We can only see the top of his head. 653 00:44:27,998 --> 00:44:29,600 Yeah. He's got a beautiful cranium. 654 00:44:29,667 --> 00:44:33,871 Yeah, the last three weeks, sleeping through till, like, 6:30-7:00. 655 00:44:33,937 --> 00:44:35,472 - You got it. - Oh, wow. 656 00:44:35,539 --> 00:44:37,741 - Which is nice, isn't it? - Fantastic. 657 00:44:37,808 --> 00:44:40,744 - And he's dropped down to... - You're a good boy! 658 00:44:40,811 --> 00:44:42,946 Dropped down to two naps a day. 659 00:44:44,782 --> 00:44:45,949 Oh, little one. 660 00:44:46,016 --> 00:44:48,752 - Look who's up there on the screen. - What are you doing? 661 00:44:48,852 --> 00:44:49,852 Whoa! 662 00:44:50,187 --> 00:44:52,089 Hello, hello. 663 00:44:52,156 --> 00:44:56,293 We might pop him down for a nap, 'cause I think he's reached his limit. 664 00:44:56,894 --> 00:44:57,894 Say "bye-bye." 665 00:44:58,762 --> 00:44:59,930 Bye, beautiful boy. 666 00:44:59,997 --> 00:45:01,157 - Bye-bye, darling. - Bye-bye. 667 00:45:01,532 --> 00:45:03,100 Say goodbye to Pascoe as well. 668 00:45:04,201 --> 00:45:06,270 Hey! 669 00:45:07,304 --> 00:45:09,139 - Yeah. - We miss you. 670 00:45:09,406 --> 00:45:10,708 Time for a nap, all right? 671 00:45:17,614 --> 00:45:18,615 Good boy. 672 00:45:20,184 --> 00:45:21,351 Shh... 673 00:45:21,418 --> 00:45:23,220 Hey, hey! 674 00:45:29,960 --> 00:45:31,695 Here we are, that's a good spot. 675 00:45:31,762 --> 00:45:32,963 Lots of paddling. 676 00:45:39,036 --> 00:45:40,571 Say, "Yum yum yum." 677 00:45:40,871 --> 00:45:42,206 Yum, yum, yum. 678 00:45:46,543 --> 00:45:49,813 The beach is all too much for little Willow, 679 00:45:50,280 --> 00:45:51,715 who has succumbed to a nap. 680 00:45:58,622 --> 00:46:01,859 Now as soon as it gets to about nine o'clock at night, 681 00:46:01,925 --> 00:46:03,427 she just knows it's nighttime. 682 00:46:05,496 --> 00:46:08,499 She's just asleep from then until she wakes up for a feed, 683 00:46:08,565 --> 00:46:11,635 so it could be like six hours that she'll sleep for sometimes. 684 00:46:11,769 --> 00:46:13,670 Hello, Mrs... Oh! 685 00:46:14,171 --> 00:46:15,272 Is that your hat? 686 00:46:15,339 --> 00:46:17,941 Oh! 687 00:46:18,008 --> 00:46:21,011 We just have a natural rhythm to tell her that it is bedtime. 688 00:46:24,348 --> 00:46:25,983 Big girl! 689 00:46:27,217 --> 00:46:29,086 One's upstairs asleep. 690 00:46:30,254 --> 00:46:31,455 This one stays. 691 00:46:31,789 --> 00:46:34,291 You can't take him up to bed without waking him up. 692 00:46:35,559 --> 00:46:36,727 The sea air does it. 693 00:46:45,502 --> 00:46:47,781 Whether you're getting your sleep during your nap 694 00:46:47,805 --> 00:46:49,173 or getting your sleep overnight, 695 00:46:49,239 --> 00:46:52,242 to overall be maintaining your essential sleep need 696 00:46:52,309 --> 00:46:53,744 is really what it's gonna take 697 00:46:53,811 --> 00:46:57,147 to both stay healthy, but also to think clearly. 698 00:46:59,683 --> 00:47:01,652 So sleep continues to be important 699 00:47:01,718 --> 00:47:05,422 for both our cognitive health, but our emotional health, our mood, 700 00:47:05,489 --> 00:47:08,025 um, and really just how we're able to perform during the day, 701 00:47:08,091 --> 00:47:10,227 whether we're infants or adults. 702 00:47:13,163 --> 00:47:15,199 Sleep has been perennially described 703 00:47:15,265 --> 00:47:17,801 as a period of detachment from the environment, 704 00:47:18,468 --> 00:47:21,605 but our work suggests that sleep 705 00:47:21,672 --> 00:47:24,208 is a very dynamic process with all kinds of changes 706 00:47:24,274 --> 00:47:27,511 in neural activity throughout the brain, changes in behavior. 707 00:47:28,712 --> 00:47:30,380 And so sleep is a much more 708 00:47:30,447 --> 00:47:33,784 multi-faceted process than has generally been thought about in the past. 709 00:47:37,421 --> 00:47:40,691 Sleep is designed for the brain 710 00:47:40,757 --> 00:47:45,195 to actually tackle that immensely difficult problem. 711 00:47:46,730 --> 00:47:48,465 To learn about the world. 712 00:47:49,533 --> 00:47:53,170 And so, that's what your baby is doing when it's sleeping. 713 00:47:53,237 --> 00:47:56,907 It's solving one of the hardest problems in the universe. 714 00:47:57,875 --> 00:47:59,243 We should let them sleep. 55468

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