1 00:00:00,200 --> 00:00:02,400 Speaker 1: Hey, please take a second and leave us a review 2 00:00:02,480 --> 00:00:06,279 Speaker 1: on Apple Podcasts, Spotify, or wherever you listen to the podcast. 3 00:00:06,960 --> 00:00:10,960 Speaker 1: Thanks a lot. Hey, welcome to Sign Stuff, a production 4 00:00:11,119 --> 00:00:14,640 Speaker 1: of iHeartRadio Hoorheit Cham And today we're answering the question 5 00:00:15,160 --> 00:00:18,760 Speaker 1: is love and addiction? What's going on inside of our 6 00:00:18,760 --> 00:00:21,680 Speaker 1: brains when we think of our loved ones, our spouses, 7 00:00:21,720 --> 00:00:24,479 Speaker 1: our kids, our friends. We're going to dig into the 8 00:00:24,560 --> 00:00:28,680 Speaker 1: signs of love, looking at how psychologists and neuroscientists have 9 00:00:28,800 --> 00:00:32,000 Speaker 1: tried to understand it and measure it, and we're going 10 00:00:32,040 --> 00:00:35,199 Speaker 1: to ask the question, if love is addicting, can you 11 00:00:35,280 --> 00:00:38,839 Speaker 1: manipulate it with drugs? So get ready to fall in 12 00:00:38,920 --> 00:00:41,839 Speaker 1: love with the signs of love as we might as 13 00:00:41,880 --> 00:00:48,680 Speaker 1: well face it. Are we addicted to love? Hey? Everyone, 14 00:00:48,880 --> 00:00:52,160 Speaker 1: Today we have a different kind of episode. It's thanksgeping 15 00:00:52,240 --> 00:00:54,880 Speaker 1: Weak and I'm spending time with my family, So I'm 16 00:00:54,880 --> 00:00:57,400 Speaker 1: going to play for you a chapter from the audiobook 17 00:00:57,640 --> 00:01:01,360 Speaker 1: of my latest nonfiction book, Out of Your Mind, which 18 00:01:01,400 --> 00:01:05,679 Speaker 1: I wrote with neuroscientist Dwayne Godwin. You know doctor Godwin. 19 00:01:05,840 --> 00:01:08,720 Speaker 1: He's been on the show several times. And in this chapter, 20 00:01:08,920 --> 00:01:11,840 Speaker 1: we ask the question why do we love? And we 21 00:01:11,920 --> 00:01:15,160 Speaker 1: look at the evidence that says that love is basically 22 00:01:15,360 --> 00:01:17,800 Speaker 1: an addiction. It's one of my favorite chapters in the 23 00:01:17,800 --> 00:01:20,600 Speaker 1: book because it goes into the whole history of how 24 00:01:20,680 --> 00:01:24,160 Speaker 1: scientists have tried to get a handle on this lovely topic. 25 00:01:24,440 --> 00:01:26,200 Speaker 1: And hey, if you like the chapter, be sure to 26 00:01:26,240 --> 00:01:28,080 Speaker 1: check out the rest of the book. You can find 27 00:01:28,160 --> 00:01:31,520 Speaker 1: Out of Your Mind in stores everywhere. Okay, the chapter 28 00:01:31,560 --> 00:01:34,360 Speaker 1: starts with a quote from William Shakespeare, and the first 29 00:01:34,400 --> 00:01:37,880 Speaker 1: question we tackle is whether humans are the only animals 30 00:01:38,080 --> 00:01:43,160 Speaker 1: dad love. Here's Professor Dwayne Godwin reading from Out of Your. 31 00:01:43,040 --> 00:01:49,200 Speaker 2: Mind, Chapter two, Why do we love? Love looks not 32 00:01:49,360 --> 00:01:52,680 Speaker 2: with the eyes, but with the mind, and therefore is 33 00:01:52,760 --> 00:01:57,880 Speaker 2: winged Cupid painted blind? William Shakespeare A Midsummer Night's Dream. 34 00:01:59,040 --> 00:02:02,400 Speaker 2: William Shakespeare may not have been a neuroscientist, but he 35 00:02:02,440 --> 00:02:05,480 Speaker 2: certainly knew a lot about human emotion. His plays tell 36 00:02:05,600 --> 00:02:09,400 Speaker 2: stories of human love in its many forms, Young irrational love, 37 00:02:09,680 --> 00:02:13,880 Speaker 2: Omeo and Juliet, the love between parents and their children, Kinglear, 38 00:02:14,600 --> 00:02:18,720 Speaker 2: and even the love of country Julius Caesar. To many, 39 00:02:19,000 --> 00:02:22,840 Speaker 2: love may seem like the quintessential human emotion, but actually 40 00:02:23,040 --> 00:02:25,960 Speaker 2: humans are not alone in showing signs of love. In 41 00:02:26,000 --> 00:02:29,160 Speaker 2: the case of romantic love. About four percent of mammals 42 00:02:29,160 --> 00:02:33,560 Speaker 2: pair up in lifelong monogamous couples. We share that distinction 43 00:02:33,720 --> 00:02:37,200 Speaker 2: with prairie voles and beavers, among a few others, and 44 00:02:37,320 --> 00:02:42,040 Speaker 2: up to ninety five percent of birds do. The majority 45 00:02:42,080 --> 00:02:45,080 Speaker 2: of complex animals on the planet exhibits some form of 46 00:02:45,160 --> 00:02:49,520 Speaker 2: care and devotion to their young. Palaeontologists have even found 47 00:02:49,600 --> 00:02:54,800 Speaker 2: fossils of dinosaur mothers that seemingly died while protecting their 48 00:02:54,840 --> 00:02:58,920 Speaker 2: nest of eggs. At the same time, the human experience 49 00:02:58,919 --> 00:03:01,919 Speaker 2: of love appears to be more vexing and complex than 50 00:03:02,200 --> 00:03:05,160 Speaker 2: mere instinct. At the very least, it seems to be 51 00:03:05,200 --> 00:03:08,360 Speaker 2: more dramatic. After all, how many beavers or birds of 52 00:03:08,400 --> 00:03:12,959 Speaker 2: written sonnets or entire operas detailing the impossible situations that 53 00:03:13,080 --> 00:03:17,760 Speaker 2: love puts us in. If you ask around, most people 54 00:03:17,760 --> 00:03:20,200 Speaker 2: will tell you that love is a feeling. It's what 55 00:03:20,240 --> 00:03:23,079 Speaker 2: you feel when you look at your spouse, or your child, 56 00:03:23,480 --> 00:03:25,960 Speaker 2: or your parents are the people who are close to you. 57 00:03:26,520 --> 00:03:29,000 Speaker 2: It's the urge you feel to be near them, to 58 00:03:29,080 --> 00:03:34,080 Speaker 2: care for them, and to make sure they're safe and happy. Unfortunately, 59 00:03:34,200 --> 00:03:36,800 Speaker 2: these days, we also use the word to describe how 60 00:03:36,840 --> 00:03:38,960 Speaker 2: we feel about a lot of things. We use it 61 00:03:39,000 --> 00:03:43,440 Speaker 2: for objects love your shoes, food, who doesn't love pie? 62 00:03:43,760 --> 00:03:48,880 Speaker 2: And even abstract concepts. I love democracy. Clearly, it's hyperbole 63 00:03:49,280 --> 00:03:52,320 Speaker 2: unless you actually feel the same way about shoes as 64 00:03:52,360 --> 00:03:55,840 Speaker 2: you do about your kids or your spouse. But what 65 00:03:56,040 --> 00:04:00,240 Speaker 2: is that feeling of love? How is it encoded in 66 00:04:00,280 --> 00:04:03,680 Speaker 2: the brain? Is there a trigger for falling into it? 67 00:04:04,040 --> 00:04:06,840 Speaker 2: Though love may seem like the stuff of literature or 68 00:04:06,880 --> 00:04:11,560 Speaker 2: sappy poems, psychologists and neuroscientists have been probing its mysteries 69 00:04:11,640 --> 00:04:15,200 Speaker 2: for over eighty years, and with modern technology they've started 70 00:04:15,200 --> 00:04:18,679 Speaker 2: to answer a few key questions about the loving brain, 71 00:04:19,000 --> 00:04:22,960 Speaker 2: including these. Is there an area in the brain devoted 72 00:04:22,960 --> 00:04:27,880 Speaker 2: to love? Does a love chemical exist? Do I really 73 00:04:27,920 --> 00:04:32,120 Speaker 2: love pie the same way I love my kids? Interestingly, 74 00:04:32,320 --> 00:04:35,960 Speaker 2: the answer to all of these questions, including the third one, 75 00:04:36,040 --> 00:04:40,600 Speaker 2: is sort of. Love is a many splendid thing. So 76 00:04:40,680 --> 00:04:44,960 Speaker 2: let's take a dive and fall madly into its biological complexities. 77 00:04:45,920 --> 00:04:50,320 Speaker 2: Trust us, you're going to love it. The love scales. 78 00:04:52,279 --> 00:04:57,640 Speaker 2: The history of love research starts in the nineteen forties. Psychologists, 79 00:04:57,839 --> 00:05:01,320 Speaker 2: eager to prove their metal is scientists, started to tackle 80 00:05:01,360 --> 00:05:06,520 Speaker 2: complex human emotions with more exacting methods The problem was 81 00:05:06,640 --> 00:05:10,039 Speaker 2: that they didn't have the technology to peer into people's brains, 82 00:05:10,279 --> 00:05:14,000 Speaker 2: and unlike basic skills like language or movement, there were 83 00:05:14,000 --> 00:05:17,279 Speaker 2: no cases, at least at the time, of people with 84 00:05:17,400 --> 00:05:21,560 Speaker 2: clear brain injuries that prevented them from loving or being lovable, 85 00:05:22,720 --> 00:05:24,920 Speaker 2: so they had to resort to the same method most 86 00:05:24,960 --> 00:05:27,840 Speaker 2: of us use. To figure out how anyone feels, they 87 00:05:27,839 --> 00:05:32,560 Speaker 2: had to ask. Of course, people are notoriously unreliable when 88 00:05:32,600 --> 00:05:35,080 Speaker 2: it comes to knowing their own feelings or reading the 89 00:05:35,080 --> 00:05:38,279 Speaker 2: feelings of others, so for psychologists, the first order of 90 00:05:38,320 --> 00:05:41,320 Speaker 2: business was to standardize the set of questions one would 91 00:05:41,440 --> 00:05:44,159 Speaker 2: ask to find out if someone felt love or not. 92 00:05:45,680 --> 00:05:48,000 Speaker 2: The goal is to be able to measure love in 93 00:05:48,040 --> 00:05:51,560 Speaker 2: a person so that you can then do scientific studies 94 00:05:51,600 --> 00:05:55,120 Speaker 2: with that information. For example, if you can figure out 95 00:05:55,120 --> 00:05:58,200 Speaker 2: that a group of people definitely loves their spouses and 96 00:05:58,279 --> 00:06:01,520 Speaker 2: that another group definitely doesn't, you might then look at 97 00:06:01,520 --> 00:06:04,400 Speaker 2: the two groups to see where that difference could be 98 00:06:04,440 --> 00:06:07,880 Speaker 2: coming from. It could be something inherent about the person 99 00:06:08,279 --> 00:06:12,479 Speaker 2: or something external. In psychology, the go to tools for 100 00:06:12,600 --> 00:06:17,640 Speaker 2: measuring complex emotions like love are called scales. Basically, they 101 00:06:17,680 --> 00:06:20,960 Speaker 2: are questionnaires that pose a series of statements and then 102 00:06:21,080 --> 00:06:23,680 Speaker 2: ask you to rache your response depending on how much 103 00:06:23,720 --> 00:06:27,960 Speaker 2: you agree or disagree with those statements. For example, one 104 00:06:28,040 --> 00:06:31,960 Speaker 2: questionnaire might say true love lasts forever and then ask 105 00:06:32,000 --> 00:06:34,839 Speaker 2: you to pick a number between one and ten. One 106 00:06:34,839 --> 00:06:39,400 Speaker 2: equals strongly disagree, ten equals strongly agree, depending on how 107 00:06:39,440 --> 00:06:43,440 Speaker 2: you feel about that. Other questionnaires might have statements like 108 00:06:43,720 --> 00:06:46,480 Speaker 2: I would rather be with my partner than anyone else, 109 00:06:46,920 --> 00:06:49,640 Speaker 2: or I would feel deep despair if I couldn't be 110 00:06:49,720 --> 00:06:52,919 Speaker 2: with this person, depending on whether you want to measure 111 00:06:52,960 --> 00:06:57,320 Speaker 2: a person's attitude or experience with love. In this way, 112 00:06:57,520 --> 00:06:59,640 Speaker 2: a scale could get a rough measure of how you 113 00:06:59,680 --> 00:07:03,080 Speaker 2: feel about love, whether you experience it in your life, 114 00:07:03,279 --> 00:07:06,320 Speaker 2: and how often you experience it, whether you think it's 115 00:07:06,360 --> 00:07:10,240 Speaker 2: a positive thing, whether you feel it toward a particular person, etc. 116 00:07:11,160 --> 00:07:13,679 Speaker 2: It's not that different from one of those pop quizes 117 00:07:13,760 --> 00:07:16,480 Speaker 2: you might find in a fashion or a romance magazine, 118 00:07:16,640 --> 00:07:21,280 Speaker 2: with the key difference of added scientific rigor. Psychologists take 119 00:07:21,320 --> 00:07:24,040 Speaker 2: great care to make sure that the scales are reliable 120 00:07:24,280 --> 00:07:27,080 Speaker 2: so the results don't depend on the person's momentary mood 121 00:07:27,200 --> 00:07:31,400 Speaker 2: or immediate circumstances, and valid so the results actually measure 122 00:07:31,720 --> 00:07:35,320 Speaker 2: what you're trying to measure. It's not a perfect assessment, 123 00:07:35,720 --> 00:07:38,320 Speaker 2: but short of being able to read someone's mind, it's 124 00:07:38,360 --> 00:07:41,960 Speaker 2: the best anyone can do. Over the years, lots of 125 00:07:42,080 --> 00:07:46,760 Speaker 2: psychologists proposed many different love scales with names like the 126 00:07:46,880 --> 00:07:53,160 Speaker 2: Caring Relationship's Inventory or the Romantic Acts Questionnaire, and over 127 00:07:53,200 --> 00:07:55,600 Speaker 2: the years a few have risen to the top in 128 00:07:55,680 --> 00:07:59,280 Speaker 2: terms of their popularity or perception as being the most reliable. 129 00:08:00,880 --> 00:08:04,400 Speaker 2: Each of them has two things in common with the others. One, 130 00:08:04,520 --> 00:08:06,760 Speaker 2: they are based on a theory that breaks down the 131 00:08:06,760 --> 00:08:10,280 Speaker 2: different kinds of love, and two, they recognize that love 132 00:08:10,360 --> 00:08:14,720 Speaker 2: is not just a feeling, but a combination of rational thoughts, emotions, 133 00:08:14,760 --> 00:08:20,080 Speaker 2: and behaviors. For example, Robert Sternberg's triangular theory of love 134 00:08:20,160 --> 00:08:26,280 Speaker 2: scale assumes that love is a mix of three basic ingredients, passion, closeness, 135 00:08:26,320 --> 00:08:29,920 Speaker 2: and commitment. For passion, it might ask you to weigh 136 00:08:29,960 --> 00:08:32,840 Speaker 2: in on statements like I find this person to be 137 00:08:33,040 --> 00:08:36,960 Speaker 2: very personally attractive, while for closeness, it might pose to 138 00:08:37,040 --> 00:08:41,640 Speaker 2: you I share deeply personal information with this person. The 139 00:08:41,760 --> 00:08:44,720 Speaker 2: idea is to make a model that maps all of 140 00:08:44,760 --> 00:08:48,640 Speaker 2: the different kinds of love that people experience. Are you 141 00:08:48,720 --> 00:08:51,439 Speaker 2: committed to someone and feel close to them but are 142 00:08:51,480 --> 00:08:56,120 Speaker 2: not attracted to them, Then you are feeling companionate love 143 00:08:56,480 --> 00:09:00,840 Speaker 2: i e. Platonic or friend love. Do you have the 144 00:09:00,880 --> 00:09:03,679 Speaker 2: hots for someone but don't particularly want to be close 145 00:09:03,800 --> 00:09:07,040 Speaker 2: or committed to them, Then you are feeling good old 146 00:09:07,200 --> 00:09:11,400 Speaker 2: infatuation love. Do you feel attracted to someone and feel 147 00:09:11,400 --> 00:09:14,760 Speaker 2: close to them and want to commit long term to them, 148 00:09:15,160 --> 00:09:21,560 Speaker 2: Then you hit the jackpot and found consummate love. Another 149 00:09:21,640 --> 00:09:26,600 Speaker 2: well accepted scale, Elaine Hatfield and Susan Sprecker's Passionate Love 150 00:09:26,640 --> 00:09:31,480 Speaker 2: Scale or PLS, measures romantic love and more explicitly breaks 151 00:09:31,520 --> 00:09:36,360 Speaker 2: down love into rational thoughts, emotions, and behaviors. For example, 152 00:09:36,520 --> 00:09:39,920 Speaker 2: if my post statements like for me, this person is 153 00:09:40,080 --> 00:09:43,320 Speaker 2: the perfect romantic partner. To see what you think of 154 00:09:43,360 --> 00:09:47,720 Speaker 2: that person, I melt when looking deeply into their eyes, 155 00:09:48,160 --> 00:09:51,520 Speaker 2: to see how you feel about them, and I can't 156 00:09:51,520 --> 00:09:54,880 Speaker 2: stop thinking about this person. To measure how it affects 157 00:09:54,880 --> 00:09:58,760 Speaker 2: your actions, add up your scores for all thirty of 158 00:09:58,800 --> 00:10:01,559 Speaker 2: the scale statements that should tell you how much you 159 00:10:01,679 --> 00:10:04,280 Speaker 2: love that person. If it was between one hundred and 160 00:10:04,320 --> 00:10:07,040 Speaker 2: six and one hundred and thirty five points, you're wildly, 161 00:10:07,160 --> 00:10:10,600 Speaker 2: even recklessly in love. Between eighty six and one hundred 162 00:10:10,600 --> 00:10:14,360 Speaker 2: and five points, passionate but less intense, sixty six to 163 00:10:14,440 --> 00:10:18,360 Speaker 2: eighty five points occasional burst of passion, forty five to 164 00:10:18,440 --> 00:10:23,240 Speaker 2: sixty five points, tepit infrequent passion, and fifteen to forty 165 00:10:23,240 --> 00:10:28,800 Speaker 2: four points the thrill is gone. Psychologists have been using 166 00:10:28,840 --> 00:10:31,240 Speaker 2: scales like this to try to get a handle on 167 00:10:31,280 --> 00:10:33,240 Speaker 2: what it means to be in love and where it 168 00:10:33,280 --> 00:10:37,240 Speaker 2: comes from. For example, in one study, researchers asked men 169 00:10:37,280 --> 00:10:41,400 Speaker 2: and women from different cultures white people in the US, Japanese, 170 00:10:41,480 --> 00:10:45,920 Speaker 2: and Filipinos to take the PLS Survey. The goal was 171 00:10:45,960 --> 00:10:50,320 Speaker 2: to test whether Eastern and Western cultures loved or thought 172 00:10:50,320 --> 00:10:53,800 Speaker 2: about bove in the same way. They found that the 173 00:10:53,840 --> 00:10:57,720 Speaker 2: scores of love intensity were not that different between different groups, 174 00:10:58,520 --> 00:11:04,800 Speaker 2: underscoring the idea that is indeed a universal feeling. Of course, 175 00:11:04,880 --> 00:11:07,120 Speaker 2: these scales only give us a view of love from 176 00:11:07,120 --> 00:11:10,320 Speaker 2: the outside looking in. They don't actually tell us what's 177 00:11:10,360 --> 00:11:14,200 Speaker 2: going on inside someone's brain. But these scales prove to 178 00:11:14,200 --> 00:11:17,600 Speaker 2: be very important when the technology to do so finally 179 00:11:17,640 --> 00:11:18,719 Speaker 2: became available. 180 00:11:21,679 --> 00:11:24,200 Speaker 1: All right, So that is the beginning of the search 181 00:11:24,320 --> 00:11:27,600 Speaker 1: for love d least the beginning of the scientific search 182 00:11:27,720 --> 00:11:30,240 Speaker 1: for love. It's a feeling and you can learn a 183 00:11:30,280 --> 00:11:34,360 Speaker 1: lot about it and nap it by simply asking people. Now, 184 00:11:34,400 --> 00:11:36,920 Speaker 1: the question is what is actually going on inside your 185 00:11:36,960 --> 00:11:40,360 Speaker 1: brain when you feel love? Is there a love part 186 00:11:40,520 --> 00:11:42,840 Speaker 1: of your brain? When we come back, we're going to 187 00:11:42,840 --> 00:11:45,840 Speaker 1: get into the neuroscience of love and figure out which 188 00:11:45,920 --> 00:11:48,640 Speaker 1: areas of the brain are involved and whether any of 189 00:11:48,640 --> 00:11:52,400 Speaker 1: them are related to addiction. Stay with us, we'll be 190 00:11:52,559 --> 00:12:06,800 Speaker 1: right back. Welcome back. We're talking about the science of 191 00:12:06,920 --> 00:12:10,680 Speaker 1: love and whether love is an addiction. So far, we've 192 00:12:10,720 --> 00:12:13,280 Speaker 1: learned what love is and how the feeling of it 193 00:12:13,559 --> 00:12:16,880 Speaker 1: maps to different versions of the love we all experience. 194 00:12:17,240 --> 00:12:19,600 Speaker 1: Now we're going to ask what's happening in the brain 195 00:12:19,960 --> 00:12:22,840 Speaker 1: when we love. It turns out love is actually something 196 00:12:22,840 --> 00:12:26,400 Speaker 1: you can do fMRI experiments on. Here is Professor Dwaine 197 00:12:26,440 --> 00:12:29,559 Speaker 1: Godwin reading from the book we've wrote together called Out 198 00:12:29,840 --> 00:12:31,439 Speaker 1: of Your Mind. 199 00:12:32,440 --> 00:12:37,959 Speaker 2: Scanning for Love. In the nineteen nineties, a brain scanning 200 00:12:38,040 --> 00:12:43,360 Speaker 2: method called functional magnetic resonance imaging fMRI opened a new 201 00:12:43,400 --> 00:12:49,959 Speaker 2: window into the brain the fMRI revolution. By the nineteen twenties, 202 00:12:50,040 --> 00:12:53,160 Speaker 2: doctors knew that different areas of the brain corresponded to 203 00:12:53,200 --> 00:12:59,360 Speaker 2: different functions Functional magnetic resonance imaging fMRI. Let's just see 204 00:12:59,400 --> 00:13:03,000 Speaker 2: how these are used in real time. The machine works 205 00:13:03,000 --> 00:13:07,160 Speaker 2: by measuring the oxygen consumed by active neurons. When neurons 206 00:13:07,240 --> 00:13:11,040 Speaker 2: use oxygen, it changes the magnetic properties of the hemoglobin 207 00:13:11,120 --> 00:13:15,040 Speaker 2: in your blood. This causes distortions and how the surrounding 208 00:13:15,040 --> 00:13:19,520 Speaker 2: water reacts to strong magnetic fields and pulses. By measuring 209 00:13:19,559 --> 00:13:22,760 Speaker 2: how this energy fluctuates, the machine can tell which brain 210 00:13:22,840 --> 00:13:25,960 Speaker 2: areas are using more oxygen than others. But it's not 211 00:13:26,040 --> 00:13:29,880 Speaker 2: fool proof, and two thousand and nine scientists scanned dead 212 00:13:29,960 --> 00:13:34,400 Speaker 2: salmon and got what looked like a live signal. fMRI 213 00:13:34,600 --> 00:13:36,640 Speaker 2: machines are able to take a picture of your whole 214 00:13:36,720 --> 00:13:39,960 Speaker 2: brain and highlight the parts that are active at any 215 00:13:40,000 --> 00:13:44,640 Speaker 2: given time with millimeter precision. Up to the two thousands, 216 00:13:44,960 --> 00:13:48,440 Speaker 2: fMRI scans have been used to reliably pinpoint areas that 217 00:13:48,480 --> 00:13:52,760 Speaker 2: were mapped by electrical probes, confirming from previous studies where 218 00:13:52,800 --> 00:13:56,319 Speaker 2: the brain's areas for sensing and moving were. Now the 219 00:13:56,440 --> 00:14:00,800 Speaker 2: question was whether they could map more complicated functions, emotions, 220 00:14:01,000 --> 00:14:04,320 Speaker 2: and even love. Would they show that the brain has 221 00:14:04,360 --> 00:14:07,880 Speaker 2: a love area or is love too complicated to narrow 222 00:14:07,960 --> 00:14:11,040 Speaker 2: down to a particular spot. It turns out that the 223 00:14:11,080 --> 00:14:15,040 Speaker 2: answer is a little of both. To find out, neuroscientists 224 00:14:15,040 --> 00:14:17,880 Speaker 2: came up with an experiment in which test subjects were 225 00:14:17,880 --> 00:14:21,520 Speaker 2: put inside an fMRI machine and shown pictures of people 226 00:14:21,560 --> 00:14:25,000 Speaker 2: they loved. We know they loved these people because the 227 00:14:25,040 --> 00:14:28,920 Speaker 2: subjects rated them highly on the PLS Love Scale, which 228 00:14:28,960 --> 00:14:33,280 Speaker 2: they filled out before the experiment. As of control, the 229 00:14:33,320 --> 00:14:37,120 Speaker 2: subjects were also shown photos of friends and acquaintances who 230 00:14:37,240 --> 00:14:41,360 Speaker 2: weren't rated highly on the love scale. This way, neuroscientists 231 00:14:41,440 --> 00:14:45,160 Speaker 2: could measure their brain activity when feelings of love were triggered, 232 00:14:45,360 --> 00:14:48,440 Speaker 2: and they could reliably assume that it was love from 233 00:14:48,440 --> 00:14:52,120 Speaker 2: the Love scale data. As you might expect from a 234 00:14:52,160 --> 00:14:55,440 Speaker 2: complex emotion, lots of areas of the brain lit up, 235 00:14:55,560 --> 00:14:59,960 Speaker 2: but in particular, neuroscientists saw intriguing activity in three specif 236 00:15:00,360 --> 00:15:03,120 Speaker 2: as that give us clues as to how our brain 237 00:15:03,200 --> 00:15:06,600 Speaker 2: processes being in love. The first area they saw light 238 00:15:06,680 --> 00:15:10,320 Speaker 2: up is called the insula. The insula, which means island 239 00:15:10,520 --> 00:15:13,840 Speaker 2: in Latin, is an interesting part of what is known 240 00:15:13,920 --> 00:15:17,600 Speaker 2: as the limbic cortex. It's an area that is folded 241 00:15:17,680 --> 00:15:20,360 Speaker 2: up deep within the side of your brain. You can't 242 00:15:20,360 --> 00:15:23,160 Speaker 2: see it from the typical surface view, and it's thought 243 00:15:23,200 --> 00:15:26,880 Speaker 2: to be where emotions and empathy are processed. When this 244 00:15:27,040 --> 00:15:30,640 Speaker 2: area is destroyed, as happens for example, with a brain 245 00:15:30,680 --> 00:15:34,840 Speaker 2: disorder called fronto temporal dementia, people seem to have a 246 00:15:34,840 --> 00:15:38,080 Speaker 2: harder time controlling their emotions, and they seem to lose 247 00:15:38,160 --> 00:15:42,200 Speaker 2: the ability to perceive the emotions of others, otherwise known 248 00:15:42,400 --> 00:15:46,920 Speaker 2: as empathy. This makes sense because love is an emotion, 249 00:15:47,280 --> 00:15:51,680 Speaker 2: and because empathy is critical to love. Putting ourselves in 250 00:15:51,800 --> 00:15:55,640 Speaker 2: other people's shoes and caring for others are integral parts 251 00:15:55,840 --> 00:16:01,680 Speaker 2: of what it means to love. An area where neuroscientists 252 00:16:01,720 --> 00:16:06,320 Speaker 2: noticed interesting activity is called the amygdala. The amygdalae are 253 00:16:06,360 --> 00:16:09,560 Speaker 2: a pair of nugget like bundles of neurons deep in 254 00:16:09,640 --> 00:16:13,320 Speaker 2: the middle of your brain. These nuggets have a reputation 255 00:16:13,520 --> 00:16:16,200 Speaker 2: as the center for anger and fear in your brain. 256 00:16:16,760 --> 00:16:20,280 Speaker 2: People who are missing their amygdala, if, for example, they 257 00:16:20,320 --> 00:16:25,440 Speaker 2: suffer from a disease called herbach wiathy, which calcifies the amygdala, 258 00:16:25,600 --> 00:16:28,640 Speaker 2: can still function, but they seem to lose the ability 259 00:16:28,680 --> 00:16:32,600 Speaker 2: to feel fear. Tests show they have a hard time 260 00:16:32,640 --> 00:16:36,080 Speaker 2: telling whether something is dangerous or not, and they are 261 00:16:36,080 --> 00:16:41,000 Speaker 2: more willing to approach unfamiliar situations. The amygdala also seems 262 00:16:41,000 --> 00:16:45,560 Speaker 2: to be responsible for aggressive behavior in mice, taking out 263 00:16:45,600 --> 00:16:50,479 Speaker 2: the amygdala seems to make them less territorial. What's interesting 264 00:16:50,880 --> 00:16:54,280 Speaker 2: is that, in the case of the love experiments, activity 265 00:16:54,400 --> 00:16:59,320 Speaker 2: in the amygdala actually decreased when subjects looked at pictures 266 00:16:59,320 --> 00:17:03,600 Speaker 2: of loved ones. In other words, love suppresses your sense 267 00:17:03,640 --> 00:17:09,800 Speaker 2: of fear and aggression, thereby lowering your defenses. The final 268 00:17:09,840 --> 00:17:13,120 Speaker 2: area that neuroscientists took note of and the Love experiments 269 00:17:13,240 --> 00:17:15,560 Speaker 2: is one that gives us the biggest clue about the 270 00:17:15,640 --> 00:17:19,800 Speaker 2: mechanisms for falling and staying in love. It's an area 271 00:17:19,840 --> 00:17:22,919 Speaker 2: that helps explain why humans like to love, why we 272 00:17:22,960 --> 00:17:25,760 Speaker 2: seek it, and why we sometimes even seem to be 273 00:17:25,880 --> 00:17:31,800 Speaker 2: addicted to it. That area is the brain's rewards system. 274 00:17:31,960 --> 00:17:34,280 Speaker 1: Okay, here's where we get to. The main question is 275 00:17:34,359 --> 00:17:38,560 Speaker 1: love and addiction, and the answer is, well, I'd love 276 00:17:38,600 --> 00:17:40,639 Speaker 1: to tell you, but you're gonna have to keep listening. 277 00:17:41,119 --> 00:17:43,359 Speaker 1: But hey, one of the cool things about the audiobook 278 00:17:43,400 --> 00:17:45,840 Speaker 1: We're Out of Your Mind is that you get both 279 00:17:45,920 --> 00:17:48,199 Speaker 1: of the authors reading it to you. So this is 280 00:17:48,240 --> 00:17:50,320 Speaker 1: the part where I take over the narration of the 281 00:17:50,400 --> 00:17:55,840 Speaker 1: chapter Love has its Rewards. You shouldn't be surprising that 282 00:17:55,880 --> 00:17:58,760 Speaker 1: our brains reward system lights up when we think about 283 00:17:58,800 --> 00:18:02,080 Speaker 1: love or when we see are loved ones. Love is 284 00:18:02,119 --> 00:18:05,879 Speaker 1: supposed to feel good. This area rewards you for it. 285 00:18:05,880 --> 00:18:08,159 Speaker 1: It's a network of structures at the very center of 286 00:18:08,200 --> 00:18:10,800 Speaker 1: your brain that tell the rest of you when something 287 00:18:10,920 --> 00:18:13,480 Speaker 1: is good, and it motivates you to seek it out 288 00:18:13,520 --> 00:18:16,639 Speaker 1: and get more of it. That craving you have for fatty, 289 00:18:16,680 --> 00:18:20,200 Speaker 1: sugary foods like chocolate, and the ensuing pleasure you feel 290 00:18:20,240 --> 00:18:23,240 Speaker 1: when you finally indulge in them, that's the brain's reward 291 00:18:23,320 --> 00:18:26,679 Speaker 1: system at work. That feeling of joy when your favorite 292 00:18:26,680 --> 00:18:29,600 Speaker 1: sports team wins the championship, and the impulse you have 293 00:18:29,680 --> 00:18:35,080 Speaker 1: to buy next year's season tickets blame your reward system. 294 00:18:35,480 --> 00:18:38,119 Speaker 1: That sense of peace and calm that washes over you 295 00:18:38,200 --> 00:18:40,760 Speaker 1: when you're surrounded by your loved ones, and the sense 296 00:18:40,760 --> 00:18:43,000 Speaker 1: that there's something missing in your life if you haven't 297 00:18:43,000 --> 00:18:45,600 Speaker 1: seen them in a long time, well, that's also the 298 00:18:45,640 --> 00:18:50,879 Speaker 1: brain's reward system. What the brain scanning experiments found was 299 00:18:50,920 --> 00:18:53,760 Speaker 1: that this reward system is activated when we look at 300 00:18:53,760 --> 00:18:56,399 Speaker 1: pictures of our loved ones. Here's a little of how 301 00:18:56,440 --> 00:19:00,240 Speaker 1: it works. When you do or experience something else, your 302 00:19:00,240 --> 00:19:03,480 Speaker 1: brain is programmed to like a little cluster of neurons 303 00:19:03,520 --> 00:19:07,880 Speaker 1: called the ventral tegmental area or VTA, releases a special 304 00:19:07,960 --> 00:19:12,320 Speaker 1: chemical called dopinin This chemical travels to different parts of 305 00:19:12,320 --> 00:19:15,879 Speaker 1: the brain, essentially yelling out, hey, this is good and important, 306 00:19:16,160 --> 00:19:21,040 Speaker 1: which triggers several actions. It inactivates the amydala, your brain 307 00:19:21,160 --> 00:19:24,520 Speaker 1: center for fear and anger, making you more open to 308 00:19:24,600 --> 00:19:28,840 Speaker 1: pleasure and enjoyment. It turns on the hippocampus, your brain's 309 00:19:28,880 --> 00:19:32,399 Speaker 1: memory center, to record everything about this moment so you 310 00:19:32,440 --> 00:19:36,280 Speaker 1: can remember later what led to this enjoyment. It triggers 311 00:19:36,440 --> 00:19:40,520 Speaker 1: the nucleus occumbents, your brain's motivation center, making you want 312 00:19:40,640 --> 00:19:45,399 Speaker 1: more of this stimulus. And finally, it triggers the prefrontal cortex, 313 00:19:45,760 --> 00:19:48,280 Speaker 1: which is where your higher thinking happens, so that you 314 00:19:48,320 --> 00:19:51,800 Speaker 1: are aware of what's going on. There are two interesting 315 00:19:51,840 --> 00:19:55,800 Speaker 1: things about this reward system. Number one, you can hack it. 316 00:19:56,800 --> 00:19:59,760 Speaker 1: Number two, it can be triggered to different degrees by 317 00:19:59,760 --> 00:20:02,640 Speaker 1: your range of things. Let's dig into each of these. 318 00:20:03,000 --> 00:20:06,720 Speaker 1: One it can be hacked. It turns out that it's 319 00:20:06,760 --> 00:20:10,720 Speaker 1: relatively easy to hijack your brain's reward system. For example, 320 00:20:11,040 --> 00:20:14,480 Speaker 1: in one famous experiment in the nineteen fifties, experimenters put 321 00:20:14,560 --> 00:20:17,880 Speaker 1: tiny wires into the brains of rats, placing them directly 322 00:20:18,040 --> 00:20:21,320 Speaker 1: on the VTA region. The wires were programmed to send 323 00:20:21,359 --> 00:20:24,159 Speaker 1: a little jolt of electricity whenever the rats pressed the 324 00:20:24,240 --> 00:20:27,879 Speaker 1: lever it was placed in their cage. This gave the 325 00:20:27,960 --> 00:20:31,760 Speaker 1: rats the ability to self activate their brains reward system. 326 00:20:32,119 --> 00:20:34,119 Speaker 1: As you might imagine, it didn't take long for the 327 00:20:34,200 --> 00:20:37,800 Speaker 1: rats to become obsessed with pressing the lever. They would 328 00:20:37,840 --> 00:20:40,000 Speaker 1: press it over and over to the point where they 329 00:20:40,000 --> 00:20:44,720 Speaker 1: would ignore basic necessities like food, water, and sex. Another 330 00:20:44,760 --> 00:20:48,480 Speaker 1: way to hag their brains reward system is with drugs. Cocaine, 331 00:20:48,480 --> 00:20:51,280 Speaker 1: for example, is a drug derived from the coca plant 332 00:20:51,480 --> 00:20:55,480 Speaker 1: that cleverly circumvents the VTA to sound the this is 333 00:20:55,520 --> 00:20:59,680 Speaker 1: good alarm in your brain. Normally, when dopamine gets released 334 00:20:59,680 --> 00:21:03,800 Speaker 1: by the it eventually gets reabsorbed back into neurons so 335 00:21:03,840 --> 00:21:08,200 Speaker 1: that its effects don't linger. But cocaine blocks at reabsorption, 336 00:21:08,560 --> 00:21:11,760 Speaker 1: keeping the dopamine around so that it continually activates all 337 00:21:11,800 --> 00:21:14,440 Speaker 1: those parts of your brain that tell you something good 338 00:21:14,560 --> 00:21:18,080 Speaker 1: is happening. Number two, it can be triggered by a 339 00:21:18,200 --> 00:21:22,920 Speaker 1: range of things to different degrees. The second interesting thing 340 00:21:22,920 --> 00:21:25,719 Speaker 1: about the brain's reward system is that lots of different 341 00:21:25,760 --> 00:21:30,560 Speaker 1: things seem to activate it. Somehow, evolution has managed to 342 00:21:30,600 --> 00:21:34,040 Speaker 1: wire your brain so that different behaviors, from eating high 343 00:21:34,119 --> 00:21:37,280 Speaker 1: calorie foods to getting a hug from your child, trigger 344 00:21:37,480 --> 00:21:40,760 Speaker 1: this reward system. And this makes sense. In order for 345 00:21:40,840 --> 00:21:43,399 Speaker 1: you to survive and for your genes to survive to 346 00:21:43,440 --> 00:21:45,600 Speaker 1: the next generation, there has to be a way for 347 00:21:45,680 --> 00:21:48,520 Speaker 1: your brain to tell your body when you're doing something 348 00:21:48,560 --> 00:21:51,880 Speaker 1: good that will ensure the survival. In the case of love, 349 00:21:52,240 --> 00:21:55,119 Speaker 1: our evolution has somehow determined that being close to a 350 00:21:55,200 --> 00:21:58,879 Speaker 1: lifelong made and caring for your children, parents, and community 351 00:21:59,080 --> 00:22:01,919 Speaker 1: are good for the cuntnuation of our species. This is 352 00:22:01,920 --> 00:22:05,680 Speaker 1: why love feels good. Your brain rewarding you for behavior 353 00:22:05,880 --> 00:22:10,200 Speaker 1: that benefits future generations of humans. Of course, not everything 354 00:22:10,240 --> 00:22:13,360 Speaker 1: that triggers the reward system does, though to the same degree. 355 00:22:13,560 --> 00:22:15,680 Speaker 1: Most people would agree that eating a piece of cake, 356 00:22:15,880 --> 00:22:18,600 Speaker 1: as delicious as it may be, isn't quite the same 357 00:22:18,640 --> 00:22:21,600 Speaker 1: as finding the love of your life. That's the other 358 00:22:21,680 --> 00:22:24,840 Speaker 1: interesting thing about the reward system. Your brain is wired 359 00:22:24,880 --> 00:22:28,760 Speaker 1: so that different things activated to different extents. Eating a 360 00:22:28,800 --> 00:22:32,600 Speaker 1: tasty cookie that gives your reward system a small nudge mm, 361 00:22:33,040 --> 00:22:36,000 Speaker 1: that's a tasty cookie. Your boyfriend holding back tears as 362 00:22:36,000 --> 00:22:38,760 Speaker 1: he says yes to your marriage proposal. That one lights 363 00:22:38,800 --> 00:22:41,600 Speaker 1: up your reward system like a fireworks display on the 364 00:22:41,640 --> 00:22:45,000 Speaker 1: fourth of July. You might have noticed that the same 365 00:22:45,119 --> 00:22:48,480 Speaker 1: brain circuit that's involved in feelings of love, the reward system, 366 00:22:48,800 --> 00:22:52,320 Speaker 1: is also the same brain circuit that's involved in drug addiction. 367 00:22:52,840 --> 00:22:57,360 Speaker 1: That's because both love and drugs supercharge the reward system, 368 00:22:58,200 --> 00:23:01,680 Speaker 1: and neuroscientists believe that when the war system is hyperactivated, 369 00:23:02,040 --> 00:23:05,879 Speaker 1: it triggers a feedback loop that starts to change your brain. 370 00:23:07,040 --> 00:23:09,480 Speaker 1: We'll card this in more detail in the chapter about addiction, 371 00:23:09,760 --> 00:23:13,159 Speaker 1: but the basic idea is that overwhelming amounts of dopamine 372 00:23:13,440 --> 00:23:16,600 Speaker 1: burn into your brain the desire to seek the source 373 00:23:16,680 --> 00:23:19,919 Speaker 1: of that enjoyment. This is why we crave love and 374 00:23:20,000 --> 00:23:24,639 Speaker 1: sometimes even obsessed about love. Love is like a drug. 375 00:23:25,359 --> 00:23:27,760 Speaker 1: Do you feel like you can't live without your loved ones? 376 00:23:28,000 --> 00:23:30,560 Speaker 1: As the pop singer Robert Palmer famously sang in the 377 00:23:30,640 --> 00:23:36,200 Speaker 1: nineteen eighties, let us bull face it. You're addicted to love. Yes, 378 00:23:36,240 --> 00:23:38,680 Speaker 1: it's true. I'm old enough to remember when that song 379 00:23:38,880 --> 00:23:41,760 Speaker 1: came out on the radio. So one way that scientists 380 00:23:41,800 --> 00:23:44,959 Speaker 1: look at love is as a sort of addiction. It 381 00:23:45,040 --> 00:23:48,359 Speaker 1: engages the same brain circuits, presumably to make sure that 382 00:23:48,440 --> 00:23:51,760 Speaker 1: our species survives. But now the big question is what 383 00:23:51,960 --> 00:23:55,440 Speaker 1: determines who we fall in love with? If love is 384 00:23:55,480 --> 00:23:59,800 Speaker 1: an addiction, what triggers it, Because it's probably not the case. 385 00:24:00,119 --> 00:24:04,159 Speaker 1: You're Madeleine love with everybody in the whole world. So 386 00:24:04,200 --> 00:24:06,800 Speaker 1: when we come back, we'll answer this question, and we'll 387 00:24:06,800 --> 00:24:09,520 Speaker 1: talk about whether you can take a drug that will 388 00:24:09,640 --> 00:24:12,480 Speaker 1: cure you of love or maybe make someone fall in 389 00:24:12,480 --> 00:24:14,439 Speaker 1: love with you. And then at the end, I'm going 390 00:24:14,480 --> 00:24:17,119 Speaker 1: to talk to doctor Godwin about how writing this chapter 391 00:24:17,440 --> 00:24:21,919 Speaker 1: affected our love life, I mean, our respective love lives. 392 00:24:22,160 --> 00:24:25,360 Speaker 1: We don't love working together that much. Stay with us. 393 00:24:25,800 --> 00:24:41,960 Speaker 1: We'll be right back, and we're back. We're talking about 394 00:24:42,000 --> 00:24:46,000 Speaker 1: whether love is an addiction, and the answer is yes, 395 00:24:47,000 --> 00:24:49,879 Speaker 1: sort of. The same brain circuit that makes you feel 396 00:24:49,880 --> 00:24:52,240 Speaker 1: good when you look at your partner, or your kids 397 00:24:52,359 --> 00:24:55,399 Speaker 1: or your besties is basically the same circuit that is 398 00:24:55,520 --> 00:24:59,119 Speaker 1: hijacked during addiction. Now, the question is how do we 399 00:24:59,160 --> 00:25:02,159 Speaker 1: pick who we fall in love with? Is this something 400 00:25:02,160 --> 00:25:04,760 Speaker 1: we can choose. Here's more of my reading from my 401 00:25:04,880 --> 00:25:10,320 Speaker 1: latest nonfiction book, Out of Your Mind, The Bonds of Love. 402 00:25:11,200 --> 00:25:14,080 Speaker 1: One question we haven't answered yet is why do we 403 00:25:14,160 --> 00:25:16,800 Speaker 1: love the people that we do. We know that love 404 00:25:16,920 --> 00:25:19,880 Speaker 1: is a feeling, that this feeling is triggered by your 405 00:25:19,880 --> 00:25:22,879 Speaker 1: brain's reward system, and we know that your brain is 406 00:25:22,920 --> 00:25:26,959 Speaker 1: wired to activate this reward system under certain conditions. But 407 00:25:27,000 --> 00:25:29,840 Speaker 1: what is it about certain people that makes this love them. 408 00:25:30,240 --> 00:25:32,880 Speaker 1: The answer to this question is still largely a mystery 409 00:25:32,920 --> 00:25:35,600 Speaker 1: to neuroscientists. One way to look at it is that 410 00:25:35,640 --> 00:25:38,639 Speaker 1: your reward system gets input from lots of places in 411 00:25:38,680 --> 00:25:43,159 Speaker 1: your brain. Everything from your senses, your memories, your base instincts, 412 00:25:43,200 --> 00:25:47,000 Speaker 1: and your higher thinking areas all feed into this reward system, 413 00:25:47,760 --> 00:25:50,439 Speaker 1: chiming in with an opinion about what they think is 414 00:25:50,480 --> 00:25:52,720 Speaker 1: good for you. And it could be that certain people 415 00:25:52,880 --> 00:25:58,800 Speaker 1: just check all the boxes. Throughout your life, your brain 416 00:25:58,840 --> 00:26:01,360 Speaker 1: has grown and been shaped by your genes and by 417 00:26:01,359 --> 00:26:05,640 Speaker 1: your life experiences. You've developed opinions and likes, and subconscious 418 00:26:05,680 --> 00:26:09,280 Speaker 1: preferences and emotional triggers. All of this has set you 419 00:26:09,359 --> 00:26:11,760 Speaker 1: up so that when you meet certain people, they cause 420 00:26:11,880 --> 00:26:14,960 Speaker 1: multiple areas in your brain to pin your reward system 421 00:26:15,080 --> 00:26:18,280 Speaker 1: at once, sending it the clear signal that somehow this 422 00:26:18,400 --> 00:26:21,280 Speaker 1: is someone that you want to be close to. Of course, 423 00:26:21,320 --> 00:26:23,560 Speaker 1: those of you with kids might be wondering, well, I 424 00:26:23,600 --> 00:26:26,560 Speaker 1: didn't exactly get to choose my kid, and yet I 425 00:26:26,560 --> 00:26:28,840 Speaker 1: still love them with all my heart. And for that 426 00:26:28,880 --> 00:26:33,440 Speaker 1: we have another chemical to thank, oxytocin. Oxytocin is a hormone, 427 00:26:33,560 --> 00:26:36,119 Speaker 1: which means it doesn't just float around your brain. It 428 00:26:36,119 --> 00:26:38,679 Speaker 1: also goes into your blood stream and travels to the 429 00:26:38,720 --> 00:26:41,399 Speaker 1: rest of your body. In particular, it seems to be 430 00:26:41,440 --> 00:26:44,800 Speaker 1: important in establishing the bond between a parent and child. 431 00:26:45,240 --> 00:26:49,840 Speaker 1: Oxotocin is released after warm, positive interactions, especially those ending 432 00:26:50,040 --> 00:26:54,480 Speaker 1: in hugs. For women, oxytocin levels increase as much as 433 00:26:54,520 --> 00:26:58,600 Speaker 1: four times their normal levels. During labor, the active breastfeeding 434 00:26:58,680 --> 00:27:05,359 Speaker 1: also releases oxotocin. What does oxytocin do For one, it 435 00:27:05,400 --> 00:27:08,480 Speaker 1: lowers the level of stress hormones in your body. It 436 00:27:08,520 --> 00:27:11,679 Speaker 1: also turns down the amygdala, which, as we mentioned before, 437 00:27:12,080 --> 00:27:14,760 Speaker 1: is the area that makes you fearful of new situations 438 00:27:14,840 --> 00:27:19,000 Speaker 1: or other people. By suppressing your fear center, oxytocin essentially 439 00:27:19,080 --> 00:27:22,320 Speaker 1: lets your guard down and makes you more open to love. 440 00:27:22,840 --> 00:27:25,880 Speaker 1: Oxytocin also activates what it might be called the mommy 441 00:27:26,160 --> 00:27:29,359 Speaker 1: or daddy area of the brain. This area, called the 442 00:27:29,480 --> 00:27:33,439 Speaker 1: medial pre optic area or MPOA, is a part of 443 00:27:33,440 --> 00:27:37,480 Speaker 1: the brain that controls automatic functions like body temperature, hunger, 444 00:27:37,640 --> 00:27:41,119 Speaker 1: and sleep. We know it's important for parenting behaviors because 445 00:27:41,160 --> 00:27:44,440 Speaker 1: when it's turned off, either by drugs or by damage 446 00:27:44,440 --> 00:27:49,080 Speaker 1: to the brain, these behaviors are interrupted. In experiments, might 447 00:27:49,080 --> 00:27:52,680 Speaker 1: spit out the full use of the MPOA, stop nursing 448 00:27:52,680 --> 00:27:56,200 Speaker 1: their young, and in some cases, even abandon their babies. 449 00:27:57,200 --> 00:28:00,399 Speaker 1: Disturbances in this area in men or women they explain 450 00:28:00,480 --> 00:28:02,840 Speaker 1: why a small percentage of human parents have a hard 451 00:28:02,840 --> 00:28:05,840 Speaker 1: time bonding with their children, or why some don't seem 452 00:28:05,880 --> 00:28:09,199 Speaker 1: to bond at all. Lastly, oxotosin does what you might 453 00:28:09,240 --> 00:28:12,280 Speaker 1: expect to help parents bond with their children. It activates 454 00:28:12,359 --> 00:28:15,720 Speaker 1: the brain's reward system. It turns out that the regions 455 00:28:15,720 --> 00:28:17,800 Speaker 1: of the brains that are part of the reward system 456 00:28:18,040 --> 00:28:22,360 Speaker 1: are also sensitive to oxytocin, so when this hormone gets released, 457 00:28:22,440 --> 00:28:25,879 Speaker 1: it also causes the release of dopamine. And what about 458 00:28:25,880 --> 00:28:28,800 Speaker 1: people who don't report falling head over heels for their partner, 459 00:28:28,880 --> 00:28:31,800 Speaker 1: but grew to love them over time. It turns out 460 00:28:31,800 --> 00:28:35,119 Speaker 1: that oxytocin also plays a role in helping love blossom. 461 00:28:35,640 --> 00:28:38,000 Speaker 1: We know this from studying a cute little animal called 462 00:28:38,280 --> 00:28:41,120 Speaker 1: the prairie role. The prairie role is one of the 463 00:28:41,200 --> 00:28:44,400 Speaker 1: four percent of mammals dead. Like many humans, pair up 464 00:28:44,400 --> 00:28:47,360 Speaker 1: in couples for life to raise their young. Scientists have 465 00:28:47,360 --> 00:28:50,200 Speaker 1: done experiments where the brains of female prairie roles were 466 00:28:50,200 --> 00:28:54,040 Speaker 1: injected with oxytocin. Those that receive the injection were found 467 00:28:54,080 --> 00:28:56,600 Speaker 1: to huddle more with their partners and seem to form 468 00:28:56,720 --> 00:29:01,920 Speaker 1: stronger bonds. In other experiments, scientists blocked oxytocin and found 469 00:29:01,960 --> 00:29:05,920 Speaker 1: that it disrupted how often the wolves formed couples. In humans, 470 00:29:05,960 --> 00:29:08,720 Speaker 1: as in prairie voles, oxytocin is released by your brain 471 00:29:08,840 --> 00:29:12,080 Speaker 1: during sex. It's your body's way of encouraging you to 472 00:29:12,200 --> 00:29:15,800 Speaker 1: form a lasting bond with that person. More interestingly, it 473 00:29:15,840 --> 00:29:18,120 Speaker 1: points to the idea that who we fall in love 474 00:29:18,160 --> 00:29:22,320 Speaker 1: with can be manipulated. For example, increasing the amount of 475 00:29:22,320 --> 00:29:25,400 Speaker 1: oxytocin in your system might lower your guard and make 476 00:29:25,480 --> 00:29:27,520 Speaker 1: you more likely to fall in love with the person 477 00:29:27,560 --> 00:29:33,480 Speaker 1: you're with. Love potion anyone. Alternately, you might be able 478 00:29:33,520 --> 00:29:37,480 Speaker 1: to sour a relationship by somehow disrupting the oxytocin in 479 00:29:37,560 --> 00:29:41,840 Speaker 1: a couple's brains. In fact, recent evidence suggests a species 480 00:29:41,840 --> 00:29:44,880 Speaker 1: of animal very close to us may have taken advantage 481 00:29:44,880 --> 00:29:48,360 Speaker 1: of our oxytocin system to hack their way into our hearts. 482 00:29:48,720 --> 00:29:50,480 Speaker 1: Does your dog really love you? 483 00:29:51,240 --> 00:29:51,360 Speaker 2: Who? 484 00:29:51,760 --> 00:29:55,040 Speaker 1: Over fourteen thousand years ago, some of the first dogs 485 00:29:55,080 --> 00:29:58,920 Speaker 1: were domesticated. This probably happened when bold and less aggressive 486 00:29:58,920 --> 00:30:04,000 Speaker 1: wolves encountered human camps. These early dog like wolves may 487 00:30:04,040 --> 00:30:06,880 Speaker 1: have been more interested in easy snacks and human left 488 00:30:06,880 --> 00:30:11,160 Speaker 1: doors than informing emotional bonds with humans. Since then, the 489 00:30:11,200 --> 00:30:14,040 Speaker 1: traits of many modern dogs had been selected by breeding 490 00:30:14,160 --> 00:30:18,400 Speaker 1: to be perfect pets, docile, attentive, and affectionate. But do 491 00:30:18,520 --> 00:30:23,720 Speaker 1: they really love us? Researcher Takefumi ki Kosui noticed that 492 00:30:23,840 --> 00:30:26,520 Speaker 1: his poodle tear it up when she nurished her puppies 493 00:30:26,520 --> 00:30:30,120 Speaker 1: in a way that indicated a positive emotion. His team 494 00:30:30,200 --> 00:30:34,120 Speaker 1: wondered whether other positive events, like interacting or seeing their 495 00:30:34,160 --> 00:30:38,640 Speaker 1: owner might produce a similar result. In one set of experiments, 496 00:30:38,680 --> 00:30:42,320 Speaker 1: they separated dogs from their owners. After a few hours, 497 00:30:42,520 --> 00:30:45,360 Speaker 1: some of the dogs were reunited with their owners, while 498 00:30:45,400 --> 00:30:47,960 Speaker 1: others were brought to someone who was familiar to them 499 00:30:48,120 --> 00:30:50,760 Speaker 1: but who was not their owner. They found that the 500 00:30:50,800 --> 00:30:53,560 Speaker 1: dogs that reunited with their owners had more tears in 501 00:30:53,600 --> 00:30:56,720 Speaker 1: their eyes than the dogs that didn't reunite with their owners. 502 00:30:57,280 --> 00:31:00,040 Speaker 1: Were these tears of joy that the researchers found it 503 00:31:00,080 --> 00:31:03,680 Speaker 1: prooves that dogs really love us, Oh not so fast. 504 00:31:05,000 --> 00:31:08,000 Speaker 1: In another set of experiments, the team measured how long 505 00:31:08,120 --> 00:31:11,080 Speaker 1: dogs staring at their owners and how that affected the 506 00:31:11,160 --> 00:31:15,400 Speaker 1: owner's oxytocin levels. They found that dogs that gaze at 507 00:31:15,440 --> 00:31:19,080 Speaker 1: their owners longer produce the bigger rise in their owners 508 00:31:19,200 --> 00:31:23,240 Speaker 1: oxytocin levels, and they found that owners would higher oxytocin 509 00:31:23,360 --> 00:31:26,520 Speaker 1: levels were more likely to play with and pet their dogs. 510 00:31:27,000 --> 00:31:29,400 Speaker 1: It could be love, or it could be that dogs 511 00:31:29,480 --> 00:31:32,720 Speaker 1: learned to produce tears to take advantage of our weakness 512 00:31:32,880 --> 00:31:36,920 Speaker 1: for puppy eyes. But whether some dogs really do form 513 00:31:36,960 --> 00:31:38,959 Speaker 1: a bond with us or we're just bred to make 514 00:31:39,040 --> 00:31:42,240 Speaker 1: us feel that way begs the question do we really care? 515 00:31:43,880 --> 00:31:47,280 Speaker 1: We're still learning a lot about oxytocin. For example, one 516 00:31:47,320 --> 00:31:50,080 Speaker 1: recent study suggests that it may also be involved in 517 00:31:50,200 --> 00:31:54,440 Speaker 1: regulating how much we eat, how we process emotions, and 518 00:31:54,520 --> 00:31:58,480 Speaker 1: when our instinct to flea gets activated. Like all hormones, 519 00:31:58,600 --> 00:32:02,600 Speaker 1: oxytocin acts in a mess and imprecise way, affecting lots 520 00:32:02,600 --> 00:32:05,880 Speaker 1: of systems at the same time. Who doesn't love a 521 00:32:05,920 --> 00:32:10,000 Speaker 1: good ending to recap. While writers and poets have been 522 00:32:10,000 --> 00:32:13,120 Speaker 1: trying to understand love for hundreds or thousands of years, 523 00:32:13,520 --> 00:32:16,640 Speaker 1: psychologists and neuroscientists have made great progress in just the 524 00:32:16,720 --> 00:32:19,560 Speaker 1: last few decades. Studies about the scale of love have 525 00:32:19,720 --> 00:32:22,600 Speaker 1: taught us that love is universal and that to some 526 00:32:22,720 --> 00:32:27,160 Speaker 1: degree it can be measured. fMRI brain imaging experiments tell 527 00:32:27,240 --> 00:32:30,000 Speaker 1: us that there are many different brain areas involved in love, 528 00:32:30,560 --> 00:32:34,280 Speaker 1: but the overall picture that emerges is a relatively simple one. 529 00:32:34,520 --> 00:32:39,680 Speaker 1: Love feels good. Therefore, you want more of it. If 530 00:32:39,760 --> 00:32:42,800 Speaker 1: something feels good, especially if it's as powerful as the 531 00:32:42,840 --> 00:32:45,440 Speaker 1: feelings we have towards the people that are close to us, 532 00:32:45,760 --> 00:32:49,000 Speaker 1: your brain wants to repeat it. The reagions that form 533 00:32:49,040 --> 00:32:51,560 Speaker 1: your brain's reward system. Make sure that you are aware 534 00:32:51,600 --> 00:32:54,320 Speaker 1: of this, that you remember it, and it changes your 535 00:32:54,320 --> 00:32:57,160 Speaker 1: brain to want it in your life as much as possible. 536 00:32:57,760 --> 00:33:00,520 Speaker 1: Breaking it down like this may make love seem clinical 537 00:33:00,840 --> 00:33:03,800 Speaker 1: or just about pleasure, but the magic of love is 538 00:33:03,840 --> 00:33:08,200 Speaker 1: in the subtleties the mystery still remains, why do we 539 00:33:08,240 --> 00:33:12,640 Speaker 1: love certain people and not others. Nobody knows what's going 540 00:33:12,680 --> 00:33:15,120 Speaker 1: to make one person stand out among others for that 541 00:33:15,240 --> 00:33:19,360 Speaker 1: initial attraction, and love takes time and patience. It may 542 00:33:19,400 --> 00:33:22,320 Speaker 1: be helped along by brain chemicals and hormones, but it 543 00:33:22,320 --> 00:33:26,200 Speaker 1: requires care for bonds to form and endure, It needs 544 00:33:26,240 --> 00:33:30,520 Speaker 1: effort to grow, and that is something that neuroscience can't predict, 545 00:33:31,320 --> 00:33:35,560 Speaker 1: at least not yet. Maybe in the future, neuroscientists will 546 00:33:35,600 --> 00:33:38,360 Speaker 1: be able to scan your brain and predict who you 547 00:33:38,360 --> 00:33:40,720 Speaker 1: will fall in love with, or they may be able 548 00:33:40,760 --> 00:33:44,120 Speaker 1: to design drugs that can reinforce love in your relationships 549 00:33:44,680 --> 00:33:48,440 Speaker 1: or make you forget relationships that didn't work out. It's 550 00:33:48,440 --> 00:33:50,720 Speaker 1: been a love filled ride, and there's still a lot 551 00:33:50,800 --> 00:33:53,920 Speaker 1: we don't know about love in the brain. As Shakespeare 552 00:33:53,920 --> 00:33:57,120 Speaker 1: wrote in A Midsummer Night's Dream, the course of true 553 00:33:57,120 --> 00:34:00,560 Speaker 1: love never did run smooth. Maybe Shake Spear was a 554 00:34:00,640 --> 00:34:04,760 Speaker 1: neuroscientist after all. Well, it was lovely of you to 555 00:34:04,840 --> 00:34:07,040 Speaker 1: join us. Hey, if you're interested in checking out the 556 00:34:07,120 --> 00:34:09,360 Speaker 1: rest of the book, look for Out of your Mind 557 00:34:09,600 --> 00:34:13,719 Speaker 1: wherever books or audiobooks are sold. Thanks for joining us. 558 00:34:14,120 --> 00:34:18,839 Speaker 1: We'd love to see you again. Next week. You've been 559 00:34:18,840 --> 00:34:23,520 Speaker 1: listening to Science Stuff production of iHeartRadio, written and produced 560 00:34:23,520 --> 00:34:27,520 Speaker 1: by me or Hey Cham, edited by Rose Seguda, executive 561 00:34:27,520 --> 00:34:31,240 Speaker 1: producer Jerry Rowland, and audio engineer and mixer Jasey Peckram. 562 00:34:31,320 --> 00:34:33,520 Speaker 1: And you can follow me on social media. Just search 563 00:34:33,560 --> 00:34:36,640 Speaker 1: for PhD Comics and the name of your favorite platform. 564 00:34:36,880 --> 00:34:39,799 Speaker 1: Be sure to subscribe to Sign Stuff on the iHeartRadio app, 565 00:34:39,840 --> 00:34:43,080 Speaker 1: Apple Podcasts, or wherever you get your podcasts, and please 566 00:34:43,280 --> 00:34:46,759 Speaker 1: tell your friends we'll be back next Wednesday with another episode. 567 00:34:49,600 --> 00:34:51,680 Speaker 1: All right, Well, I would love it if people checked 568 00:34:51,680 --> 00:34:53,120 Speaker 1: out the rest of the book, how about you. 569 00:34:53,200 --> 00:34:56,680 Speaker 2: Yeah, I hope people enjoy it. And I really feel 570 00:34:56,800 --> 00:35:00,160 Speaker 2: that it's important to tell the people that you love 571 00:35:00,200 --> 00:35:03,640 Speaker 2: about the thing that you love. And I feel like 572 00:35:03,800 --> 00:35:07,440 Speaker 2: in writing this book it provided me a way to 573 00:35:07,600 --> 00:35:12,000 Speaker 2: reach out to my family and to friends and bring 574 00:35:12,000 --> 00:35:15,040 Speaker 2: them into my world just a little bit amazing. 575 00:35:15,520 --> 00:35:17,560 Speaker 1: It's an expression of your love for what. 576 00:35:17,840 --> 00:35:20,239 Speaker 2: Of the brain. And I have a special love for 577 00:35:20,320 --> 00:35:23,520 Speaker 2: the brain because it is the essence of what we do. 578 00:35:23,600 --> 00:35:27,520 Speaker 2: It is the place where we go to understand everything. 579 00:35:28,160 --> 00:35:30,000 Speaker 1: Well, thank you for sharing your love of the brain 580 00:35:30,160 --> 00:35:30,759 Speaker 1: with us. Brain. 581 00:35:31,080 --> 00:35:34,680 Speaker 2: Yeah, and you have a love too. You love conveying 582 00:35:34,840 --> 00:35:38,279 Speaker 2: science in a way that is understandable to people, that 583 00:35:38,400 --> 00:35:41,080 Speaker 2: brings them to a better understanding of the world that 584 00:35:41,120 --> 00:35:44,439 Speaker 2: we live in, whether it's your books and physics or 585 00:35:44,560 --> 00:35:46,719 Speaker 2: the book that you did with me, and also just 586 00:35:46,840 --> 00:35:49,840 Speaker 2: the books that you've written that bring young people into 587 00:35:49,920 --> 00:35:53,360 Speaker 2: a better understanding and to find their love in science. 588 00:35:54,000 --> 00:35:56,280 Speaker 2: I think that's probably true of you as well. 589 00:35:56,680 --> 00:35:58,799 Speaker 1: Oh, thank you for saying that, Quene. I love that, 590 00:35:59,400 --> 00:36:05,960 Speaker 1: I love you and I love you man. Awesome. All right, 591 00:36:06,000 --> 00:36:07,480 Speaker 1: that's pretty good. I