1 00:00:01,920 --> 00:00:06,520 Speaker 1: Welcome to brain Stuff production of I Heart Radio. Hey 2 00:00:06,559 --> 00:00:10,440 Speaker 1: brain Stuff, Lauren Vogelbaum. Here, you're walking down a deserted 3 00:00:10,520 --> 00:00:13,800 Speaker 1: street to all quiet in your thoughts, and suddenly you 4 00:00:13,840 --> 00:00:18,120 Speaker 1: hear footsteps. Of course, your own footfalls. We're making noise too, 5 00:00:18,200 --> 00:00:21,000 Speaker 1: So why is it so easy to ignore our own 6 00:00:21,040 --> 00:00:25,720 Speaker 1: noises and so easy to hear others? Scientists have long 7 00:00:25,720 --> 00:00:28,720 Speaker 1: known that we're capable of tuning out our own personal noises, 8 00:00:28,760 --> 00:00:31,080 Speaker 1: but we're previously in the dark about how the brain 9 00:00:31,160 --> 00:00:34,519 Speaker 1: accomplishes this feat. The results of a new study published 10 00:00:34,560 --> 00:00:37,360 Speaker 1: in the journal Nature aims to amp up our understanding 11 00:00:37,360 --> 00:00:41,680 Speaker 1: of this phenomenon by focusing on footsteps. We spoke with 12 00:00:41,800 --> 00:00:45,120 Speaker 1: lead researcher Dr David Schneider, an assistant professor with the 13 00:00:45,200 --> 00:00:49,040 Speaker 1: Center for Neural Science at New York University. He explained, 14 00:00:49,440 --> 00:00:52,040 Speaker 1: we wanted to understand how the individual cells in our 15 00:00:52,080 --> 00:00:55,800 Speaker 1: brains are neurons, work together to make that happen. To 16 00:00:55,880 --> 00:00:58,440 Speaker 1: do that, we studied mouse brains, and we built an 17 00:00:58,440 --> 00:01:01,720 Speaker 1: augmented reality system so that when mice ran, we could 18 00:01:01,760 --> 00:01:05,320 Speaker 1: experimentally control the sounds they heard. We could give them 19 00:01:05,319 --> 00:01:07,600 Speaker 1: a couple of days with their walking, making one sound 20 00:01:07,840 --> 00:01:12,320 Speaker 1: then we could unexpectedly switch the sound. The research was 21 00:01:12,360 --> 00:01:15,880 Speaker 1: conducted at Duke University's School of Medicine. The scientists soon 22 00:01:15,920 --> 00:01:18,720 Speaker 1: discovered that when the mice expected their walking to sound 23 00:01:18,720 --> 00:01:22,039 Speaker 1: a particular way, the neurons and the auditory cortex, one 24 00:01:22,040 --> 00:01:24,920 Speaker 1: of the main hearing centers of the brain, stopped responding 25 00:01:24,959 --> 00:01:28,600 Speaker 1: to the noise. Schneider said. It was almost like they 26 00:01:28,600 --> 00:01:31,200 Speaker 1: were wearing special headphones that could filter out the sound 27 00:01:31,240 --> 00:01:33,840 Speaker 1: of their own movements. In contrast, when we played an 28 00:01:33,920 --> 00:01:38,080 Speaker 1: unexpected sound, neurons and their auditory cortex had large responses. 29 00:01:39,319 --> 00:01:42,199 Speaker 1: The scientists soon realized that as the mice were becoming 30 00:01:42,240 --> 00:01:44,720 Speaker 1: familiar with the sounds of their own walking, there were 31 00:01:44,760 --> 00:01:48,880 Speaker 1: some important connections being changed between the auditory cortex and 32 00:01:48,880 --> 00:01:51,280 Speaker 1: the motor cortex, which is the part of the brain 33 00:01:51,360 --> 00:01:56,600 Speaker 1: responsible for moving. Schneider said the connections strengthen onto inhibitory 34 00:01:56,640 --> 00:01:59,480 Speaker 1: neurons and the auditory cortex that are active when the 35 00:01:59,520 --> 00:02:02,600 Speaker 1: mouse heard the footsteps sound. The end result was that 36 00:02:02,680 --> 00:02:05,880 Speaker 1: every time the mouse walked, a group of inhibitory neurons 37 00:02:05,880 --> 00:02:08,760 Speaker 1: were active to create a photo negative of the sound 38 00:02:08,840 --> 00:02:12,079 Speaker 1: the mouse expected, which could cancel out the expected sound 39 00:02:12,200 --> 00:02:17,040 Speaker 1: when it was heard. The experience isn't limited to footsteps either. 40 00:02:17,480 --> 00:02:20,440 Speaker 1: Schneider said, the heavy breather rarely knows that they're a 41 00:02:20,440 --> 00:02:22,839 Speaker 1: heavy breather because it doesn't sound as loud to them, 42 00:02:23,120 --> 00:02:25,760 Speaker 1: And I think the same is true of keystrokes as sure. 43 00:02:25,800 --> 00:02:27,960 Speaker 1: I can hear my own keystrokes when I'm typing, but 44 00:02:28,000 --> 00:02:30,400 Speaker 1: I don't usually get annoyed by them. But if someone 45 00:02:30,440 --> 00:02:32,880 Speaker 1: sitting next to me is typing heavily, it drives me batty. 46 00:02:34,560 --> 00:02:37,880 Speaker 1: For any creature accustomed to being hunted, like mice, this 47 00:02:37,960 --> 00:02:41,520 Speaker 1: ability to filter out one's own innocuous noises and focus 48 00:02:41,560 --> 00:02:45,240 Speaker 1: on the more potentially dangerous ones is critical. This is 49 00:02:45,280 --> 00:02:48,000 Speaker 1: also the same phenomenon at play when we sing, speak, 50 00:02:48,160 --> 00:02:52,639 Speaker 1: or play music. Schneider explained, we usually have an idea 51 00:02:52,639 --> 00:02:54,960 Speaker 1: in our head for what sound would like to produce. 52 00:02:55,480 --> 00:02:57,560 Speaker 1: When I sit down at the piano and strike the keys, 53 00:02:57,600 --> 00:02:59,960 Speaker 1: for example, I know what music I want it to make, 54 00:03:00,639 --> 00:03:03,440 Speaker 1: But when we're practicing, we often get it wrong. The 55 00:03:03,480 --> 00:03:06,240 Speaker 1: mechanism that we've described in this paper, the ability to 56 00:03:06,320 --> 00:03:09,920 Speaker 1: ignore the expected consequences of our movement, gives us the 57 00:03:09,960 --> 00:03:12,680 Speaker 1: extra cool ability to detect when we've got it wrong. 58 00:03:13,440 --> 00:03:16,080 Speaker 1: So if I play the piano just right, I hear it, sure, 59 00:03:16,160 --> 00:03:19,200 Speaker 1: but my auditory cortex is pretty silent. But when I 60 00:03:19,200 --> 00:03:23,079 Speaker 1: play it wrong, I get a much larger response. As 61 00:03:23,120 --> 00:03:25,560 Speaker 1: a result, the brain is able to interpret that response 62 00:03:25,720 --> 00:03:28,280 Speaker 1: is hey, that didn't sound right. Maybe I should move 63 00:03:28,280 --> 00:03:31,160 Speaker 1: my fingers a little different next time. That allows us 64 00:03:31,160 --> 00:03:34,120 Speaker 1: to learn from our mistakes. Though the researchers are still 65 00:03:34,120 --> 00:03:37,040 Speaker 1: trying to figure out exactly how such error signals are 66 00:03:37,040 --> 00:03:40,320 Speaker 1: employed by the brain when learning language and music skills, 67 00:03:41,400 --> 00:03:43,640 Speaker 1: they're hoping to use this information to shed light on 68 00:03:43,680 --> 00:03:47,240 Speaker 1: a couple of different areas next. For example, it's possible 69 00:03:47,240 --> 00:03:49,840 Speaker 1: that the same brain circuits involved in ignoring and or 70 00:03:49,880 --> 00:03:55,640 Speaker 1: detecting sounds malfunction in patients with diseases like schizophrenia. Schneider 71 00:03:55,720 --> 00:03:59,800 Speaker 1: said they often vividly experienced phantom voices that aren't actually 72 00:03:59,840 --> 00:04:03,040 Speaker 1: the air. It's been suggested that these hallucinations may be 73 00:04:03,160 --> 00:04:06,400 Speaker 1: due to altered connectivity between motor and hearing centers of 74 00:04:06,400 --> 00:04:09,520 Speaker 1: the brain, and we think the brain circuitry we've identified 75 00:04:09,760 --> 00:04:12,160 Speaker 1: might be involved. So I'd like to study mice who 76 00:04:12,200 --> 00:04:14,800 Speaker 1: have similar genetic mutations to those that are associated with 77 00:04:14,840 --> 00:04:23,400 Speaker 1: schizophrenia in humans. Today's episode was written by Alia Hoyt 78 00:04:23,400 --> 00:04:26,040 Speaker 1: and produced by Tyler Klang. Brain Stuff is a production 79 00:04:26,080 --> 00:04:28,279 Speaker 1: of iHeart Radio's How Stuff Works. For more in this 80 00:04:28,360 --> 00:04:30,680 Speaker 1: and lots of other notable topics, visit our home planet, 81 00:04:30,839 --> 00:04:33,480 Speaker 1: how stuff Works dot com. And for more podcasts for 82 00:04:33,560 --> 00:04:36,599 Speaker 1: my heart Radio, visit the iHeart Radio app, Apple Podcasts, 83 00:04:36,640 --> 00:04:38,360 Speaker 1: or wherever you listen to your favorite shows.