1 00:00:03,800 --> 00:00:06,680 Speaker 1: Welcome to Stuff to Blow your Mind from how Stuff 2 00:00:06,680 --> 00:00:14,880 Speaker 1: Works dot com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:15,160 --> 00:00:19,160 Speaker 1: I'm Robert lamb Um Julie Douglas, And as our wonderful 4 00:00:19,200 --> 00:00:22,920 Speaker 1: theme music fades into the background, there, Uh tell me, Julie, 5 00:00:22,960 --> 00:00:26,160 Speaker 1: what how does that music make you feel? What comes 6 00:00:26,160 --> 00:00:29,400 Speaker 1: to mind? I gotta tell you, Like, there's that that 7 00:00:29,560 --> 00:00:34,640 Speaker 1: sort of something that really kind of makes me feel 8 00:00:34,680 --> 00:00:37,600 Speaker 1: a little booty busting. Yeah, yeah, kind of kind of 9 00:00:37,600 --> 00:00:39,400 Speaker 1: makes me in my head not a little. It has 10 00:00:39,479 --> 00:00:41,600 Speaker 1: kind of like a kind of an i d M. 11 00:00:41,600 --> 00:00:44,680 Speaker 1: Intelligent dance music kind of sound to it. To it. 12 00:00:44,680 --> 00:00:46,400 Speaker 1: It makes me sort of think of like a a 13 00:00:46,640 --> 00:00:49,680 Speaker 1: dark Alison Wonderland type forest, and there's like all sorts 14 00:00:49,720 --> 00:00:51,760 Speaker 1: of weird things going on in the darkness, maybe like 15 00:00:51,800 --> 00:00:56,200 Speaker 1: flashing little points of light and there's something there's something 16 00:00:56,360 --> 00:00:58,920 Speaker 1: really amazing going on in the darkness, and uh, and 17 00:00:58,920 --> 00:01:01,120 Speaker 1: you're just kind of wondering, all my goodness, what's what's 18 00:01:01,200 --> 00:01:04,560 Speaker 1: going on out there? Like all I'm talking about is 19 00:01:04,640 --> 00:01:09,600 Speaker 1: classics shaken and you're and you've fallen down the rabbit hole. 20 00:01:09,600 --> 00:01:14,240 Speaker 1: I like that than another Loose Carroll reference there. Yeah, yeah, well, 21 00:01:14,600 --> 00:01:16,360 Speaker 1: I mean that's the great thing about music because it's 22 00:01:16,480 --> 00:01:18,760 Speaker 1: it's you know, And this is kind of a an 23 00:01:18,800 --> 00:01:21,560 Speaker 1: overstatement of the obvious here, but it has a profound 24 00:01:21,760 --> 00:01:26,720 Speaker 1: and varying effect on on on the listener, right, Yeah, absolutely. 25 00:01:26,800 --> 00:01:30,800 Speaker 1: I mean, do you have any earworms or there any 26 00:01:30,800 --> 00:01:33,679 Speaker 1: instances that you feel like with music that really sort 27 00:01:33,720 --> 00:01:36,480 Speaker 1: of grabs you by the shirt tails or oh? I 28 00:01:36,520 --> 00:01:39,960 Speaker 1: mean I I listen to music pretty constantly at work. Like, 29 00:01:39,959 --> 00:01:42,360 Speaker 1: I don't think I'd get any work done or or 30 00:01:42,400 --> 00:01:45,440 Speaker 1: be able to commute properly if I didn't have f 31 00:01:45,600 --> 00:01:48,680 Speaker 1: music going. And I've also found that, like when it 32 00:01:48,680 --> 00:01:51,320 Speaker 1: comes to it to earworms, I will I will definitely 33 00:01:51,320 --> 00:01:54,120 Speaker 1: get some like annoying earworms here and there, but but 34 00:01:54,160 --> 00:01:56,000 Speaker 1: most of the worms I get are more like just 35 00:01:56,080 --> 00:01:59,720 Speaker 1: the music and not the lyrics. Like even I think 36 00:01:59,760 --> 00:02:03,040 Speaker 1: a an earworm that a lot of people may suffer 37 00:02:03,120 --> 00:02:08,800 Speaker 1: from is that that Lady Gaga song the what is it? 38 00:02:08,840 --> 00:02:12,400 Speaker 1: The I don't know, Yeah, I refuse to let it 39 00:02:12,440 --> 00:02:15,000 Speaker 1: into my brain. Okay, well you you you're you're fortunate 40 00:02:15,000 --> 00:02:16,400 Speaker 1: this far. I mean, I I don't know. I kind 41 00:02:16,400 --> 00:02:18,160 Speaker 1: of like a part of the song, but then the 42 00:02:18,200 --> 00:02:20,160 Speaker 1: rest of it just kind of like just slams in 43 00:02:20,240 --> 00:02:22,880 Speaker 1: your head and won't let go, and then you're just 44 00:02:22,919 --> 00:02:25,200 Speaker 1: trying to shake it out. Yeah. Yeah, so that's the 45 00:02:25,200 --> 00:02:28,600 Speaker 1: problem with earworms. Yeah yeah, Yeah. For me, I've got 46 00:02:29,000 --> 00:02:32,160 Speaker 1: a couple like one that's just a benevolent earworm right 47 00:02:32,200 --> 00:02:36,120 Speaker 1: now is a Tarrangela by Robin Hitchcock. So sometimes I'll 48 00:02:36,120 --> 00:02:37,760 Speaker 1: wake up in the morning I can hear the harmonic 49 00:02:37,800 --> 00:02:40,560 Speaker 1: and it's nice, and then yeah, that's a good ear warm. 50 00:02:40,600 --> 00:02:43,080 Speaker 1: Most of my worms I feel are good. Okay, so 51 00:02:43,120 --> 00:02:45,160 Speaker 1: you're lucky because I've got one that's I've had for 52 00:02:45,200 --> 00:02:47,280 Speaker 1: like a decade and I can't shake. And it usually 53 00:02:47,320 --> 00:02:49,360 Speaker 1: happens like at three o'clock in the morning. I can't 54 00:02:49,360 --> 00:02:51,560 Speaker 1: go to sleep and all of a sudden, I can 55 00:02:51,560 --> 00:02:54,960 Speaker 1: hear the piano going, don't, don't, don't, don't, don't. It's 56 00:02:54,960 --> 00:02:59,520 Speaker 1: a hard not And I know there's something about that 57 00:02:59,560 --> 00:03:02,040 Speaker 1: song and the lyrics. So it's interesting that for you 58 00:03:02,200 --> 00:03:05,840 Speaker 1: it's it's not necessarily lyrics that are haunting you. But 59 00:03:05,840 --> 00:03:09,079 Speaker 1: but that's what music is. For me. It's both. It's 60 00:03:09,080 --> 00:03:12,880 Speaker 1: both the destroyer and the creator. Yeah, it's um. It's 61 00:03:12,880 --> 00:03:16,480 Speaker 1: also a huge energizer, Like I think it's interesting how 62 00:03:17,680 --> 00:03:21,359 Speaker 1: uh you know. The scientists pointed out that like the 63 00:03:21,600 --> 00:03:24,320 Speaker 1: like slower music, you're you're sad music, you're you're you're 64 00:03:24,440 --> 00:03:26,200 Speaker 1: you know, more relaxing music tends to be a lot 65 00:03:26,240 --> 00:03:28,919 Speaker 1: you know, you know, slower and slower beat going on 66 00:03:29,000 --> 00:03:30,760 Speaker 1: and then and then the faster music. You know, it 67 00:03:30,800 --> 00:03:33,120 Speaker 1: has some sort of like really you know, raxtous beat 68 00:03:33,120 --> 00:03:34,960 Speaker 1: to it that that's what gets you pumped up. Like 69 00:03:35,400 --> 00:03:37,400 Speaker 1: if you I don't know if you've ever done this, 70 00:03:37,480 --> 00:03:41,760 Speaker 1: if you've ever put on I have the tiger Oh 71 00:03:41,840 --> 00:03:45,480 Speaker 1: yeah this morning? Oh yeah, yeah, yeah, you know sometimes 72 00:03:45,520 --> 00:03:46,920 Speaker 1: that's that's what you need to get out of the 73 00:03:46,920 --> 00:03:49,120 Speaker 1: house or you know, to to really throw yourself at 74 00:03:49,120 --> 00:03:51,520 Speaker 1: a project. Yeah yeah, I do that right before I 75 00:03:51,600 --> 00:03:57,400 Speaker 1: scale the steps eight hundred steps um near my local park. 76 00:03:57,520 --> 00:04:00,280 Speaker 1: Oh excellent, yes, yeah, well cool. Then in the fighting 77 00:04:00,280 --> 00:04:01,760 Speaker 1: spirit right and then I get it, I get it. 78 00:04:01,800 --> 00:04:04,080 Speaker 1: The adrenaline is pumping. Yeah. I also have this theory 79 00:04:04,080 --> 00:04:06,720 Speaker 1: that nobody can listen to Staying Alive without altering the 80 00:04:06,720 --> 00:04:08,920 Speaker 1: way they walk, you know. But that's a good thing. 81 00:04:09,160 --> 00:04:11,240 Speaker 1: That's I I think it's a good it's a great song, 82 00:04:11,320 --> 00:04:14,080 Speaker 1: and I think we should always walk Like we're listening 83 00:04:14,120 --> 00:04:16,359 Speaker 1: to that. I think about how that would change the world. 84 00:04:16,560 --> 00:04:19,640 Speaker 1: Like imagine of like like like soldiers and people in 85 00:04:19,839 --> 00:04:22,640 Speaker 1: our OTC, Like if they had to march to staying alive, Like, 86 00:04:22,680 --> 00:04:24,680 Speaker 1: it would be an entirely different scene. That's right. There 87 00:04:24,680 --> 00:04:27,679 Speaker 1: would be no wars, right, it would just be people 88 00:04:27,760 --> 00:04:30,200 Speaker 1: styling and looking good. See that's an't that's a good 89 00:04:30,200 --> 00:04:33,400 Speaker 1: example of how music can change your brain. Yeah. And 90 00:04:33,400 --> 00:04:35,520 Speaker 1: when we say it change the brain, I mean it's 91 00:04:35,320 --> 00:04:39,160 Speaker 1: it's really it's really amazing what it can do and 92 00:04:39,279 --> 00:04:41,440 Speaker 1: what it what it does do on like to all 93 00:04:41,480 --> 00:04:44,560 Speaker 1: of us like every day. But like first, like what 94 00:04:44,560 --> 00:04:46,360 Speaker 1: what do you think music is like? And what is 95 00:04:46,400 --> 00:04:49,720 Speaker 1: it to you? Bare bones? Yeah, well, I I was 96 00:04:49,760 --> 00:04:52,560 Speaker 1: thinking about it, and I kept coming up with with 97 00:04:52,640 --> 00:04:55,440 Speaker 1: kind of elaborate answers. But I actually have to just 98 00:04:55,480 --> 00:04:57,200 Speaker 1: sort of refer to Websters on this one because the 99 00:04:57,200 --> 00:05:00,520 Speaker 1: Westers is a very it's not very creative. It's you know, 100 00:05:00,600 --> 00:05:05,320 Speaker 1: the Webster's definition. It's pretty succinct, and it just says 101 00:05:05,400 --> 00:05:08,919 Speaker 1: the quote the science or art of ordering tones or 102 00:05:09,000 --> 00:05:13,839 Speaker 1: sounds in succession, in combination, and in temporal relationships to 103 00:05:13,880 --> 00:05:18,719 Speaker 1: produce a composition. Having unity and continuity. So it's like 104 00:05:18,760 --> 00:05:21,240 Speaker 1: it's a series of sounds that makes some sort of 105 00:05:21,279 --> 00:05:24,200 Speaker 1: sense that have like a almost almost a kind of 106 00:05:24,200 --> 00:05:26,160 Speaker 1: like a narrative flow to them, even though there are 107 00:05:26,160 --> 00:05:29,600 Speaker 1: no characters in a song unless you're going with some 108 00:05:29,640 --> 00:05:32,160 Speaker 1: sort of Peter and the Wolf type of motif. You know. Yeah, okay, 109 00:05:32,160 --> 00:05:37,320 Speaker 1: so you have to have rhythm, tone meter, what else? Um, 110 00:05:37,600 --> 00:05:42,200 Speaker 1: Sometimes instruments a melody a melody, right, A little air 111 00:05:42,240 --> 00:05:48,480 Speaker 1: horn drops in here and there just for sure becauzoo zoo. Yeah, yeah, 112 00:05:48,920 --> 00:05:56,400 Speaker 1: I just sneeze. Um. So I think that's the really 113 00:05:56,400 --> 00:05:59,520 Speaker 1: cool thing about music is that it can really be anything. Yeah. 114 00:05:59,560 --> 00:06:01,600 Speaker 1: And it cross culture is too. Yeah. I mean it's 115 00:06:01,640 --> 00:06:04,240 Speaker 1: a deep part of our cognitive architecture too. Is as 116 00:06:04,279 --> 00:06:06,840 Speaker 1: we discussed previously when we're talking about what alien how 117 00:06:06,880 --> 00:06:10,600 Speaker 1: aliens would interpret human culture and what really stands out 118 00:06:10,640 --> 00:06:12,880 Speaker 1: about who we are, like, music is a huge part 119 00:06:12,880 --> 00:06:15,760 Speaker 1: of who we are and uh, you know it changed. 120 00:06:15,960 --> 00:06:17,760 Speaker 1: It has the power to change our mood, to heighten 121 00:06:17,800 --> 00:06:21,839 Speaker 1: our our emotions. Um. Well, and the the thing though 122 00:06:21,839 --> 00:06:25,440 Speaker 1: that should be noted is that, um, we're not entirely 123 00:06:25,640 --> 00:06:30,320 Speaker 1: sure how music affects our brains were just now getting 124 00:06:30,360 --> 00:06:32,960 Speaker 1: some data from what the last ten years, Yeah, five 125 00:06:33,000 --> 00:06:35,839 Speaker 1: to ten. It's it's it's pretty much and continues to 126 00:06:35,839 --> 00:06:38,440 Speaker 1: be an emerging area of study. Yeah, I mean, that's 127 00:06:38,480 --> 00:06:43,440 Speaker 1: pretty explosive area to to look into our explicit field 128 00:06:43,520 --> 00:06:47,719 Speaker 1: right now. And you've got cognitive psychologists and linguists. Stephen Pinker, 129 00:06:48,240 --> 00:06:52,000 Speaker 1: who uh, he's just he's sort of the oh, I 130 00:06:52,000 --> 00:06:53,800 Speaker 1: don't know. I guess you would say that he's the 131 00:06:54,560 --> 00:06:58,320 Speaker 1: party pooper on this. He thinks that music is just 132 00:06:58,440 --> 00:07:02,240 Speaker 1: auditory cheesecake and it's space like an accident of evolution, like, hey, 133 00:07:02,320 --> 00:07:05,520 Speaker 1: guess what it gets talk and sing? Yeah, I mean 134 00:07:05,560 --> 00:07:08,800 Speaker 1: he he at least he's not a complete villain about it. 135 00:07:08,800 --> 00:07:11,040 Speaker 1: And he's kind of like, like, I understand wanting to 136 00:07:11,040 --> 00:07:13,360 Speaker 1: make more out of music than it is, but I 137 00:07:13,400 --> 00:07:15,840 Speaker 1: don't you know, that's that's his his whole argument, right, 138 00:07:15,880 --> 00:07:17,200 Speaker 1: And then you have other people on the other side 139 00:07:17,200 --> 00:07:19,560 Speaker 1: of the coin. They're like, they're saying, we've got to 140 00:07:19,600 --> 00:07:22,160 Speaker 1: make more out of this because of the findings. So 141 00:07:22,920 --> 00:07:26,240 Speaker 1: um so I think it's interesting to to dive into 142 00:07:26,280 --> 00:07:29,120 Speaker 1: that and look at the findings and find out how 143 00:07:29,120 --> 00:07:34,600 Speaker 1: our brains work on music and specifically, like when we're 144 00:07:34,800 --> 00:07:39,200 Speaker 1: listening to music, what's what's happening inside of our brains? 145 00:07:39,240 --> 00:07:41,080 Speaker 1: Like just to put things in perspective, Like a lot 146 00:07:41,120 --> 00:07:44,280 Speaker 1: of times, you know, people wonder is music, um, is 147 00:07:44,520 --> 00:07:46,200 Speaker 1: it this thing under itself or is it just like 148 00:07:46,240 --> 00:07:50,040 Speaker 1: the flip side of language? But you know, there are 149 00:07:50,040 --> 00:07:52,480 Speaker 1: parts of the brain that respond to music that don't 150 00:07:52,520 --> 00:07:55,280 Speaker 1: respond to language. And there are separate parts of the 151 00:07:55,600 --> 00:07:57,960 Speaker 1: of the brain that respond to the melody of language, 152 00:07:58,400 --> 00:08:00,440 Speaker 1: um that are different from the parts of the brain 153 00:08:00,480 --> 00:08:04,200 Speaker 1: that respond to music. So it's it's not just you know, 154 00:08:04,240 --> 00:08:07,800 Speaker 1: it's clearly doing unique things to our mind. Yeah, Like 155 00:08:07,880 --> 00:08:09,920 Speaker 1: if you look at a brain scan that you can 156 00:08:09,920 --> 00:08:12,680 Speaker 1: see that it's letting up like a pinball machine or 157 00:08:12,720 --> 00:08:15,640 Speaker 1: you know, as as someone had said um before in 158 00:08:15,680 --> 00:08:17,880 Speaker 1: some of the literal I was reading that it's it's 159 00:08:17,880 --> 00:08:19,960 Speaker 1: almost looks like a symphony. There are different parts of 160 00:08:19,960 --> 00:08:24,040 Speaker 1: the symphony that are queuing up and working in concert. Yeah, 161 00:08:24,080 --> 00:08:26,600 Speaker 1: and what they're looking at tends to be um um, 162 00:08:26,760 --> 00:08:29,200 Speaker 1: blood flow, oxygen flow in the brain. That those are 163 00:08:29,200 --> 00:08:32,120 Speaker 1: the indicators to show that there's something that there's there's 164 00:08:32,240 --> 00:08:35,120 Speaker 1: definite neural activity going on. And I think we've all 165 00:08:35,160 --> 00:08:37,400 Speaker 1: seen these brains, you know, if you haven't seen it 166 00:08:37,400 --> 00:08:39,040 Speaker 1: in a movie, you've seen it on you know, at 167 00:08:39,080 --> 00:08:44,960 Speaker 1: least channel flipping through your you know, your different documentary channels. Yeah, 168 00:08:45,080 --> 00:08:47,760 Speaker 1: and and uh, it's it's pretty fascinating when you do 169 00:08:47,880 --> 00:08:50,440 Speaker 1: see the brain lighting up like that because you get 170 00:08:50,440 --> 00:08:54,280 Speaker 1: to see where the music is entering the ear, and 171 00:08:54,400 --> 00:08:57,000 Speaker 1: it's going into the front well and temporal lobes and 172 00:08:57,040 --> 00:09:00,400 Speaker 1: then into the language processing areas, and then the visual 173 00:09:00,440 --> 00:09:04,120 Speaker 1: cortex lights up, and that's, um, that's actually really interesting 174 00:09:04,160 --> 00:09:06,760 Speaker 1: because that's your brain kind of trying to get a 175 00:09:06,840 --> 00:09:09,600 Speaker 1: visual beat on the changes in pitch and tone. So 176 00:09:09,760 --> 00:09:12,720 Speaker 1: it's looking at it in a visual way. It's perceiving 177 00:09:12,760 --> 00:09:15,120 Speaker 1: that as movement. Okay, So kind of like when I 178 00:09:15,160 --> 00:09:18,360 Speaker 1: see the dark forest with the lights in it exactly. Yeah, 179 00:09:18,400 --> 00:09:21,440 Speaker 1: you're already sort of imagining yourself in movement, which is 180 00:09:21,440 --> 00:09:24,880 Speaker 1: really interesting when when you're thinking about music and then 181 00:09:25,080 --> 00:09:28,719 Speaker 1: you've got your metal front cortex, and that's where if 182 00:09:28,760 --> 00:09:30,720 Speaker 1: you've heard that song before, you get all weaky or 183 00:09:30,760 --> 00:09:33,959 Speaker 1: you get sad. Okay. So this is like, for an example, 184 00:09:34,000 --> 00:09:37,600 Speaker 1: if I listened to a particularly sad song during a 185 00:09:37,760 --> 00:09:40,840 Speaker 1: like really depressing episode in my life and I and 186 00:09:40,880 --> 00:09:43,400 Speaker 1: I tear up listening to it again or or get 187 00:09:43,480 --> 00:09:45,240 Speaker 1: kind of weird about it if I listened to it again, 188 00:09:45,280 --> 00:09:47,800 Speaker 1: that's what's going on, right, right. Or if you're like 189 00:09:47,840 --> 00:09:50,160 Speaker 1: sitting there listening to Nick Drake and you know it's 190 00:09:50,200 --> 00:09:54,000 Speaker 1: raining outside or something along those lines. Um, but if 191 00:09:54,000 --> 00:09:57,560 Speaker 1: you're listening to something that makes you happy, then your 192 00:09:57,559 --> 00:10:01,520 Speaker 1: brain starts releasing dopamine. Okay, Yeah, so you've got the 193 00:10:01,559 --> 00:10:06,240 Speaker 1: reward center occupied as well. Just pretty cool. And one 194 00:10:06,240 --> 00:10:08,240 Speaker 1: of the things I think is most interesting is that 195 00:10:08,520 --> 00:10:14,000 Speaker 1: sometimes your neural firing synchronizes to the fundamental frequency of 196 00:10:14,080 --> 00:10:16,720 Speaker 1: that sound that you're picking up. Wow, So you would 197 00:10:16,760 --> 00:10:19,440 Speaker 1: be able to to look at it like a live 198 00:10:19,520 --> 00:10:22,400 Speaker 1: scan of the brain, and it would it would essentially 199 00:10:22,400 --> 00:10:26,480 Speaker 1: be like the visualizer on Windows Media Player, right right, Yeah, 200 00:10:26,760 --> 00:10:31,120 Speaker 1: you'd have these uh neural finds that are like or 201 00:10:31,160 --> 00:10:35,360 Speaker 1: something along these lines. Maybe maybe you wouldn't, but in 202 00:10:35,400 --> 00:10:39,160 Speaker 1: a centric millionaire could could like hire a dude to 203 00:10:39,440 --> 00:10:43,240 Speaker 1: like remain hooked up to a brain scanner and you 204 00:10:43,240 --> 00:10:44,719 Speaker 1: could just set the and that could be his his 205 00:10:44,840 --> 00:10:49,400 Speaker 1: visualizer visualizer, that's right. If he was going to take 206 00:10:49,440 --> 00:10:52,520 Speaker 1: it to that other level of entertainment. Yeah. Absolutely, m 207 00:10:53,240 --> 00:10:54,840 Speaker 1: I see what you're going to be doing with your 208 00:10:54,840 --> 00:10:59,640 Speaker 1: first million. Um. But all of this was pointing to 209 00:11:00,320 --> 00:11:03,720 Speaker 1: the fact that, like you said, there's a lot going 210 00:11:03,760 --> 00:11:06,800 Speaker 1: on the brain. There's parts that are lighting up. You've 211 00:11:06,800 --> 00:11:11,000 Speaker 1: got blood flow, you've got oxygen. And what we're beginning 212 00:11:11,040 --> 00:11:14,000 Speaker 1: to see is that music is tripping all sorts of 213 00:11:14,040 --> 00:11:17,680 Speaker 1: switches in our brain and possibly even making a smarter 214 00:11:17,800 --> 00:11:20,640 Speaker 1: if we engage in certain ways with it. And I 215 00:11:20,679 --> 00:11:23,720 Speaker 1: think you see that actually with musicians. Yeah, Yeah, there's 216 00:11:23,760 --> 00:11:26,960 Speaker 1: been some some really cool studies, UM into just you know, 217 00:11:27,040 --> 00:11:31,920 Speaker 1: how how musicians brains appear to work versus non musician brains. 218 00:11:32,160 --> 00:11:35,240 Speaker 1: They've done some uh they have evenen some studies where 219 00:11:35,240 --> 00:11:37,760 Speaker 1: they take they take a non musician, give them like 220 00:11:37,760 --> 00:11:41,280 Speaker 1: a year of like you know, musical lessons, seeing lessons, 221 00:11:41,320 --> 00:11:43,520 Speaker 1: what have you, and and they can see the changes 222 00:11:43,760 --> 00:11:46,760 Speaker 1: in the neural activity, right and this they could be 223 00:11:46,800 --> 00:11:49,520 Speaker 1: a terrible singer, right right. Yeah, but the fact that 224 00:11:49,520 --> 00:11:53,400 Speaker 1: they're exercising this part of the brain means that what 225 00:11:53,440 --> 00:11:56,800 Speaker 1: they've built up some some more muscle there, so to speak. Yeah, 226 00:11:56,840 --> 00:11:59,760 Speaker 1: it's really made me rethink. I mean, I don't know. 227 00:11:59,840 --> 00:12:02,560 Speaker 1: I really don't know how musically inclined you are, um, 228 00:12:02,600 --> 00:12:06,280 Speaker 1: I in terms of instruments, because I took piano lessons, 229 00:12:06,360 --> 00:12:09,720 Speaker 1: I took like a recorder lesson. I was in like 230 00:12:09,800 --> 00:12:12,560 Speaker 1: band for like trumpet and french horn. Played none of 231 00:12:12,559 --> 00:12:16,040 Speaker 1: these things well at all. I was. I was you know, 232 00:12:16,160 --> 00:12:20,520 Speaker 1: pretty uh, pretty pretty inept at times, especially with the piano. 233 00:12:20,559 --> 00:12:23,120 Speaker 1: I feel. But but I've had to rethink it because 234 00:12:23,120 --> 00:12:25,040 Speaker 1: I'm because I'm thinking, like, even though I didn't excel 235 00:12:25,080 --> 00:12:29,199 Speaker 1: at those things, it got my brain thinking in a 236 00:12:29,280 --> 00:12:32,000 Speaker 1: musical way, and maybe that benefited me in the long run, 237 00:12:32,240 --> 00:12:34,160 Speaker 1: right and in other ways that you might have not 238 00:12:34,240 --> 00:12:40,560 Speaker 1: even known. Yeah, um no, well I'd not really musically incline, 239 00:12:41,200 --> 00:12:46,600 Speaker 1: you know. In um college, I took my grandfather's saxophone. 240 00:12:45,480 --> 00:12:49,440 Speaker 1: It's saxophone, it's awesome, and had it restored, and I 241 00:12:49,480 --> 00:12:53,280 Speaker 1: took lessons and I was terrible, and I would try 242 00:12:53,320 --> 00:12:55,200 Speaker 1: to bend the notes, and my music teacher would get 243 00:12:55,200 --> 00:12:57,600 Speaker 1: really angry and just say please, just like learn the 244 00:12:57,679 --> 00:13:01,440 Speaker 1: notes and do it well. And I thought, well, surely 245 00:13:01,480 --> 00:13:06,440 Speaker 1: after six months, I can I can sound um like Coltrane, right, um. 246 00:13:06,480 --> 00:13:09,000 Speaker 1: But that didn't work out so I got discouraged. But yeah, 247 00:13:09,080 --> 00:13:12,360 Speaker 1: like you, I'm rethinking it. I'm thinking, okay, if if I, 248 00:13:13,000 --> 00:13:15,959 Speaker 1: even if I'm terrible at it, um, maybe this can 249 00:13:16,000 --> 00:13:20,319 Speaker 1: help me to have a thicker cortex like other musicians. Uh, 250 00:13:20,400 --> 00:13:23,920 Speaker 1: And which just basically means that you've got a lot 251 00:13:24,000 --> 00:13:26,640 Speaker 1: more activity going on your frontal cortex and the areas 252 00:13:26,679 --> 00:13:29,439 Speaker 1: of your brain that are responsible for language and planning. 253 00:13:30,600 --> 00:13:33,400 Speaker 1: And this is another cool thing about musicians. They're better 254 00:13:33,440 --> 00:13:36,559 Speaker 1: at picking out selective patterns in a room where there's 255 00:13:36,679 --> 00:13:39,959 Speaker 1: that might be a cacophony of sound, So they kind 256 00:13:39,960 --> 00:13:43,400 Speaker 1: of have better selective hearing, if you will. So if 257 00:13:43,400 --> 00:13:45,400 Speaker 1: you needed someone to like spy on somebody in a 258 00:13:45,440 --> 00:13:49,079 Speaker 1: busy room, hire the spy that has a musical background. 259 00:13:49,160 --> 00:13:51,360 Speaker 1: See that's why I was thinking I should continue with 260 00:13:51,440 --> 00:13:55,000 Speaker 1: saxophone lessons, because you never know when you're gonna have 261 00:13:55,040 --> 00:13:57,000 Speaker 1: to switch over a full time to that spying career, 262 00:13:57,160 --> 00:13:58,720 Speaker 1: right right, It's it's just a good thing to have 263 00:13:58,760 --> 00:14:01,360 Speaker 1: in your back pocket. Yeah, nobody wants to hear I'm sorry, 264 00:14:01,400 --> 00:14:04,200 Speaker 1: but I'm going to go with the bassoon player. No, yeah, no, 265 00:14:04,440 --> 00:14:08,080 Speaker 1: it's true. But but the other thing that all of 266 00:14:08,120 --> 00:14:11,839 Speaker 1: this is pointing to is of course music and children, right, 267 00:14:12,000 --> 00:14:15,440 Speaker 1: and the fact that children who study and learn music 268 00:14:15,559 --> 00:14:18,880 Speaker 1: aren't just increasing their motor skills, but they're scoring higher 269 00:14:18,920 --> 00:14:22,160 Speaker 1: on language tests than they show an overall improved processing 270 00:14:22,160 --> 00:14:24,960 Speaker 1: and linguistic centers of the brain. So you have to 271 00:14:25,000 --> 00:14:27,280 Speaker 1: be engaging in the music, of course, can't just be 272 00:14:27,360 --> 00:14:30,640 Speaker 1: a passive listener. But that also makes me think of 273 00:14:30,640 --> 00:14:34,320 Speaker 1: the mosartiffect. Okay, this is where you play Mozart for 274 00:14:34,400 --> 00:14:38,240 Speaker 1: an unborn child. Well, this is what Yeah, this was 275 00:14:38,440 --> 00:14:41,080 Speaker 1: the result of a study. That's that's actually that's the 276 00:14:41,080 --> 00:14:44,880 Speaker 1: interpretation um from the results. But the result is that 277 00:14:45,360 --> 00:14:49,560 Speaker 1: basically college students who went underwent the study that when 278 00:14:49,600 --> 00:14:55,000 Speaker 1: they listen to Mozart that for some temporal spatial testing 279 00:14:55,080 --> 00:14:59,000 Speaker 1: that they actually increased their scores. But it was temporary, 280 00:14:59,120 --> 00:15:01,480 Speaker 1: and they were bored, and they were bored, and they 281 00:15:01,480 --> 00:15:05,000 Speaker 1: were they were constructing things out of paper. Um, so 282 00:15:05,080 --> 00:15:07,560 Speaker 1: that was essentially the test. But people took that and 283 00:15:07,560 --> 00:15:10,160 Speaker 1: they ran with it. And like Governor Zell Miller, if 284 00:15:10,160 --> 00:15:13,360 Speaker 1: Georgia had mandated that every child born would get a 285 00:15:13,400 --> 00:15:16,760 Speaker 1: Mozart c D and so the you know, it wasn't 286 00:15:16,840 --> 00:15:19,840 Speaker 1: quite that. And I think that's the interesting to point 287 00:15:19,840 --> 00:15:23,840 Speaker 1: out that it's not just listening to music, it's engaging 288 00:15:23,880 --> 00:15:26,800 Speaker 1: in it that really helps benefit the brain and builds 289 00:15:26,800 --> 00:15:31,239 Speaker 1: it up quite a bit more musically. Yeah, exactly. Yeah, 290 00:15:31,360 --> 00:15:34,840 Speaker 1: And I think the most extreme case of this is 291 00:15:34,880 --> 00:15:40,040 Speaker 1: probably in some ailments that occur in the brain um 292 00:15:40,720 --> 00:15:45,840 Speaker 1: story victims Parkinson's disease along those lines, right, they're they're 293 00:15:45,880 --> 00:15:49,200 Speaker 1: able to actually use the music to repair damn it, 294 00:15:49,280 --> 00:15:52,040 Speaker 1: to to to rebuild the brain. And in a certain sense, yeah, 295 00:15:52,080 --> 00:15:54,600 Speaker 1: in a way, I mean Parkinson's um You know, of 296 00:15:54,680 --> 00:15:57,080 Speaker 1: course you're your motor system is going to be tripped 297 00:15:57,160 --> 00:16:01,320 Speaker 1: up with that, and so music kind of helps the 298 00:16:01,360 --> 00:16:05,680 Speaker 1: auditory system and the motor system, uh, be in concert 299 00:16:05,720 --> 00:16:09,040 Speaker 1: with each other. So if you've got a partisan patient 300 00:16:09,320 --> 00:16:11,720 Speaker 1: and you put on a rhythm track, that actually helps 301 00:16:11,760 --> 00:16:14,960 Speaker 1: that person to better coordinate their movements. So again, think 302 00:16:15,000 --> 00:16:18,440 Speaker 1: about the neurons, you know, firing to a certain beat 303 00:16:18,640 --> 00:16:21,360 Speaker 1: or like playing staying alive, and everybody ends up kind 304 00:16:21,400 --> 00:16:24,280 Speaker 1: of threatened instead of just walking right right. Yeah, So 305 00:16:24,440 --> 00:16:27,239 Speaker 1: during physical therapy, you know, you just have to imagine 306 00:16:27,240 --> 00:16:31,480 Speaker 1: that you're you're in the movie walking down the street, 307 00:16:31,720 --> 00:16:38,920 Speaker 1: You're staying a lot. This presentation is brought to you 308 00:16:38,960 --> 00:16:46,040 Speaker 1: by Intel Sponsors of Tomorrow. I have to admit, like 309 00:16:46,040 --> 00:16:48,160 Speaker 1: when I whenever I go to like a like a 310 00:16:48,880 --> 00:16:52,400 Speaker 1: concert or like a big like DJ event, and uh 311 00:16:52,840 --> 00:16:54,960 Speaker 1: and in the crowd is really into it. I can't 312 00:16:54,960 --> 00:16:58,360 Speaker 1: help but think of like old Viking movies where there's 313 00:16:58,400 --> 00:17:00,520 Speaker 1: like the guy on the back of the king ship 314 00:17:00,640 --> 00:17:03,480 Speaker 1: of Viking longboat like beating on the drum and everyone's 315 00:17:03,520 --> 00:17:06,920 Speaker 1: moving in tandem with the drummer. Because that's how it feels. 316 00:17:06,960 --> 00:17:09,240 Speaker 1: It's like one guy, you know, be it or you know, 317 00:17:09,280 --> 00:17:11,879 Speaker 1: one band or the DJ or whoever. It's like they're 318 00:17:11,920 --> 00:17:15,879 Speaker 1: controlling everyone and everyone is just synchronized with this beat, 319 00:17:16,240 --> 00:17:19,520 Speaker 1: you know. Yeah. And actually, um, people who who talk 320 00:17:19,560 --> 00:17:23,760 Speaker 1: about the auditory cheesecake, they actually point to that experience 321 00:17:23,760 --> 00:17:27,480 Speaker 1: that you're talking about and say that, uh, music is 322 00:17:27,520 --> 00:17:30,840 Speaker 1: actually a way to bring people together. It does have 323 00:17:30,960 --> 00:17:35,160 Speaker 1: an evolutionary purpose and that if you can get everybody's 324 00:17:35,200 --> 00:17:40,200 Speaker 1: neurons synchronized in a group, then you can form some 325 00:17:40,240 --> 00:17:44,920 Speaker 1: sort of basis of cooperation for community. Well that's instantly. 326 00:17:44,920 --> 00:17:47,640 Speaker 1: And part of this is because I'm reading rereading Name 327 00:17:47,640 --> 00:17:48,960 Speaker 1: of the Roads. I can't help but think of a 328 00:17:48,960 --> 00:17:52,560 Speaker 1: monastic community and the importance of music. Yeah, and I 329 00:17:52,560 --> 00:17:57,000 Speaker 1: imagine any like church groups, uh, etcetera, or even even 330 00:17:57,000 --> 00:17:58,679 Speaker 1: the military, I guess come to think of it, like 331 00:17:58,680 --> 00:18:01,360 Speaker 1: with the sort of thing those little songs they chant 332 00:18:01,359 --> 00:18:05,520 Speaker 1: while they're marching. My mom said, yeah, yeah, that one, 333 00:18:05,680 --> 00:18:10,200 Speaker 1: that that classic ballad. Um. Yeah, it's like a community 334 00:18:10,200 --> 00:18:12,760 Speaker 1: building thing. They're all sort of syncing up and becoming 335 00:18:13,920 --> 00:18:17,280 Speaker 1: one body under the music. Yeah. Yeah, So I mean 336 00:18:17,480 --> 00:18:19,160 Speaker 1: they are, Like I said, there are people who point 337 00:18:19,160 --> 00:18:21,560 Speaker 1: to that and say, there is a purpose, there's a 338 00:18:21,600 --> 00:18:24,440 Speaker 1: reason why all of us have this what they think 339 00:18:24,480 --> 00:18:29,679 Speaker 1: innate ability to understand music, um and to incorporate it 340 00:18:29,680 --> 00:18:33,680 Speaker 1: in our lives. And if you look at the importance 341 00:18:33,720 --> 00:18:36,440 Speaker 1: of music, especially with memory we're talking about a little 342 00:18:36,440 --> 00:18:40,600 Speaker 1: bit earlier, with the medial front cortex, that that's where 343 00:18:40,920 --> 00:18:45,119 Speaker 1: all your memories are stored. They're finding that Alzheimer's patients 344 00:18:45,240 --> 00:18:49,760 Speaker 1: and dementia patients are responding really well to musical therapy 345 00:18:49,800 --> 00:18:53,359 Speaker 1: because when they hear pieces of music, it actually helps 346 00:18:53,359 --> 00:18:56,639 Speaker 1: sense to sort of unlock the box, you know, crack it, 347 00:18:56,720 --> 00:19:01,480 Speaker 1: open access their memories again and actually helping them to 348 00:19:01,520 --> 00:19:04,480 Speaker 1: increase their short term and long term memory, which is 349 00:19:05,160 --> 00:19:11,399 Speaker 1: really cool. Yeah, and then you've got stroke victims who 350 00:19:11,640 --> 00:19:14,480 Speaker 1: they may be able to understand what you're saying, but 351 00:19:14,600 --> 00:19:17,800 Speaker 1: they can't. They the use of language is gone. They 352 00:19:17,840 --> 00:19:23,880 Speaker 1: can't express themselves. And they've been singing in some studies, Uh, 353 00:19:23,920 --> 00:19:26,959 Speaker 1: what they're trying to say phrases and in some cases 354 00:19:27,000 --> 00:19:30,440 Speaker 1: they can sing two hundred three hundred phrases. Um, they 355 00:19:30,440 --> 00:19:33,800 Speaker 1: may on a sort of road to recovery and being 356 00:19:33,840 --> 00:19:38,800 Speaker 1: able to eventually speak again. Yeah, so music is definitely 357 00:19:38,840 --> 00:19:40,920 Speaker 1: Are they singing what they want to say? Are they 358 00:19:40,920 --> 00:19:44,680 Speaker 1: singing things? Yeah? Yeah, yeah. Actually there's a documentary called 359 00:19:44,720 --> 00:19:49,080 Speaker 1: The Music Intuition, and they show a woman who is 360 00:19:49,119 --> 00:19:52,199 Speaker 1: going through therapy and, uh, the woman that's working with 361 00:19:52,240 --> 00:19:55,240 Speaker 1: her says, Okay, now suppose that your two year old 362 00:19:55,320 --> 00:19:57,399 Speaker 1: daughter is about to run down the street, what do 363 00:19:57,440 --> 00:20:01,399 Speaker 1: you say? And she sings wait for me? But she 364 00:20:01,400 --> 00:20:04,320 Speaker 1: couldn't never say wait for me, you know, So she's 365 00:20:04,480 --> 00:20:07,919 Speaker 1: regaining that ability through music. It's interesting because we were 366 00:20:07,920 --> 00:20:10,159 Speaker 1: actually talking the other day about how it might be 367 00:20:10,240 --> 00:20:12,280 Speaker 1: a little difficult if we were to do a musical 368 00:20:12,320 --> 00:20:16,040 Speaker 1: episode of the podcast. But for someone who's having to 369 00:20:16,080 --> 00:20:19,480 Speaker 1: reclaim their speech, like music is the the in road 370 00:20:19,840 --> 00:20:22,680 Speaker 1: to speaking again. That's interesting. Yeah, and so that's that's 371 00:20:22,680 --> 00:20:24,840 Speaker 1: again where the mystery is sort of coming in, because 372 00:20:25,600 --> 00:20:28,600 Speaker 1: you know, again, this is a fairly new field of study. 373 00:20:28,680 --> 00:20:33,240 Speaker 1: Ten years ago, people didn't necessarily know that music could 374 00:20:33,240 --> 00:20:36,440 Speaker 1: access your brain in these ways. And I'm also thinking 375 00:20:36,480 --> 00:20:43,120 Speaker 1: about another therapy session. This was done by neuroscientists David Soto. 376 00:20:43,720 --> 00:20:46,960 Speaker 1: He had sixty stroke victims who sustained damage to her 377 00:20:47,119 --> 00:20:50,919 Speaker 1: parietal cortex, which is related to visual and spatial processing. 378 00:20:51,359 --> 00:20:54,800 Speaker 1: And it was very unusual and that the victims lost 379 00:20:54,840 --> 00:20:57,760 Speaker 1: half of their spatial weren't awareness and some of them 380 00:20:57,840 --> 00:21:00,440 Speaker 1: would eat food on only one side of her mouth, 381 00:21:00,720 --> 00:21:03,680 Speaker 1: or they would shave only one side of their face. Yeah, 382 00:21:03,760 --> 00:21:08,280 Speaker 1: so their perceptions way off. So what happened is when 383 00:21:08,400 --> 00:21:13,360 Speaker 1: Soto played music that made them happy they during their therapy, 384 00:21:13,440 --> 00:21:18,720 Speaker 1: they were actually able to increase their abilities and be 385 00:21:18,760 --> 00:21:23,200 Speaker 1: able to perceive more. And the interesting thing about this 386 00:21:23,320 --> 00:21:26,040 Speaker 1: is that they played a couple of different pieces of music, 387 00:21:26,200 --> 00:21:29,040 Speaker 1: but the ones that were most popular for Frank Sinatra 388 00:21:29,840 --> 00:21:32,280 Speaker 1: and Kenny Rogers. I guess of the two of the 389 00:21:32,320 --> 00:21:36,760 Speaker 1: two who had the better results with the victims. Um, 390 00:21:36,800 --> 00:21:38,920 Speaker 1: I'm thinking Frank probably took more of a firm hand 391 00:21:38,920 --> 00:21:42,199 Speaker 1: with him. Okay, I would think so too. Fly Me 392 00:21:42,280 --> 00:21:45,439 Speaker 1: to the Moon very uplifting. Kenny Rogers, Please tell me 393 00:21:45,440 --> 00:21:47,320 Speaker 1: it was early Kenny Rodgers at least I don't know. 394 00:21:47,480 --> 00:21:51,840 Speaker 1: The fifth edition was the fifth edition that's in the 395 00:21:51,880 --> 00:21:54,119 Speaker 1: Land of Lady Gaga for me. I'm sorry, you know, 396 00:21:54,160 --> 00:21:56,080 Speaker 1: just stepped in to see what condition my condition was in. 397 00:21:56,240 --> 00:21:59,480 Speaker 1: Oh yes, okay, I didn't have that one. Oh boy, yeah, 398 00:21:59,520 --> 00:22:02,240 Speaker 1: that's it's as track. I bet that probably is someone 399 00:22:02,280 --> 00:22:06,560 Speaker 1: that I would hope, so yeah, well we hope. Yeah. Um, 400 00:22:06,600 --> 00:22:10,520 Speaker 1: but they thought about actually renaming it the Kenny Rogers Effect, 401 00:22:10,800 --> 00:22:14,919 Speaker 1: no joke, I'm not kidding, but um, that kind of 402 00:22:14,960 --> 00:22:18,000 Speaker 1: points to the fact that when you are happy, when 403 00:22:18,000 --> 00:22:20,560 Speaker 1: you're listening to music, you've got the release of dopamines, 404 00:22:21,280 --> 00:22:24,000 Speaker 1: and that when you have the release of dopamins, that 405 00:22:24,040 --> 00:22:27,080 Speaker 1: you've actually got more neural resources. So that's what they're 406 00:22:27,080 --> 00:22:29,760 Speaker 1: seeing there with the stroke victims is that it was 407 00:22:29,800 --> 00:22:34,040 Speaker 1: actually allowing them to perform a skill set that they 408 00:22:34,040 --> 00:22:39,040 Speaker 1: didn't necessarily happy for. What's interesting, they've they've also been 409 00:22:39,080 --> 00:22:43,359 Speaker 1: some some studies into how music can be used for 410 00:22:43,680 --> 00:22:49,200 Speaker 1: people suffering from chronic heart disease and the the results 411 00:22:49,200 --> 00:22:51,720 Speaker 1: are not set in stone on this one, um, but 412 00:22:51,880 --> 00:22:54,760 Speaker 1: they've but scientists have found that that like in a 413 00:22:54,800 --> 00:23:00,879 Speaker 1: study that had like, you know, about participants, they found 414 00:23:00,880 --> 00:23:03,560 Speaker 1: that it had a modern effect on anxiety, uh in 415 00:23:03,640 --> 00:23:06,680 Speaker 1: patients with the c h D chronic card disease. UM. 416 00:23:06,720 --> 00:23:09,720 Speaker 1: But the results were kind of inconsistent across the studies. 417 00:23:10,119 --> 00:23:13,960 Speaker 1: But that but that listening to music reduces heart rate, 418 00:23:14,359 --> 00:23:16,879 Speaker 1: respiratory rate, and blood pressure in other words, you know, 419 00:23:16,920 --> 00:23:20,399 Speaker 1: a calming effect on the body, which can have you know, 420 00:23:20,640 --> 00:23:24,280 Speaker 1: can be very medicinal given certain conditions such as chronic 421 00:23:24,280 --> 00:23:28,440 Speaker 1: card disease UM. And then I've also also saw a 422 00:23:29,119 --> 00:23:31,720 Speaker 1: few studies talking about it to use in treating depression 423 00:23:32,080 --> 00:23:36,040 Speaker 1: or or anxiety. And again it a part of it 424 00:23:36,040 --> 00:23:39,320 Speaker 1: comes down to, you know, like if anybody who's ever 425 00:23:39,359 --> 00:23:42,600 Speaker 1: like meditated to music or or used relax that used 426 00:23:42,680 --> 00:23:45,720 Speaker 1: music as a relaxation tool, you know obviously knows the 427 00:23:45,880 --> 00:23:50,879 Speaker 1: relaxing effects of music. But but but but you know 428 00:23:51,000 --> 00:23:53,440 Speaker 1: that very effect has a can have a clinical use 429 00:23:53,480 --> 00:23:56,920 Speaker 1: as well. They've also found that in some therapies it's 430 00:23:56,960 --> 00:23:59,879 Speaker 1: kind of like music is you know, music is a 431 00:24:00,080 --> 00:24:02,920 Speaker 1: universal language to sort of use a you know, kind 432 00:24:02,920 --> 00:24:05,480 Speaker 1: of a cliche term there. But but if you have 433 00:24:05,640 --> 00:24:08,960 Speaker 1: a person who's not very receptive to therapy um and 434 00:24:08,960 --> 00:24:11,760 Speaker 1: and and maybe not that receptive to just one on one, 435 00:24:11,840 --> 00:24:15,639 Speaker 1: you know, verbal communication, music can kind of break down doors. 436 00:24:16,080 --> 00:24:18,400 Speaker 1: It's it's something they can instantly get and it's less 437 00:24:18,440 --> 00:24:20,840 Speaker 1: threatening to them. So that's one of the benefits they 438 00:24:20,960 --> 00:24:25,040 Speaker 1: thought that the experts have found with music therapy, you know, 439 00:24:25,119 --> 00:24:26,720 Speaker 1: on the opposite side of the coin, I just have 440 00:24:26,760 --> 00:24:29,760 Speaker 1: to mention that I ran across the Study of Mice 441 00:24:30,040 --> 00:24:32,960 Speaker 1: and Meth. I wish that were the title of it, 442 00:24:33,000 --> 00:24:36,560 Speaker 1: but that's actually wasn't um of Mice and Meth. That 443 00:24:36,760 --> 00:24:39,640 Speaker 1: they took these mice and they put them on math 444 00:24:39,880 --> 00:24:42,359 Speaker 1: and then they gave some of them a quiet space, 445 00:24:42,520 --> 00:24:45,639 Speaker 1: and some of them they just blasted really loud music, 446 00:24:46,560 --> 00:24:49,920 Speaker 1: and they wanted to see if the toxicity levels would 447 00:24:50,080 --> 00:24:54,000 Speaker 1: rise with a really loud music. Very particular study. Well, 448 00:24:54,080 --> 00:24:57,240 Speaker 1: what they were trying to do is say, um that 449 00:24:57,359 --> 00:24:59,800 Speaker 1: if you're on meth and in you're on nightclub, that 450 00:25:00,240 --> 00:25:04,199 Speaker 1: it can actually be um, I'm much more dangerous to you. 451 00:25:04,400 --> 00:25:07,120 Speaker 1: This is the you know, what they pose it because 452 00:25:07,640 --> 00:25:11,040 Speaker 1: it enhances the toxic effects of meth the load music, 453 00:25:11,440 --> 00:25:15,840 Speaker 1: and I thought, wow, that's that's so disturbing and poor mice. 454 00:25:15,880 --> 00:25:17,399 Speaker 1: And I've got to say that we need to start 455 00:25:17,440 --> 00:25:20,760 Speaker 1: cataloging all of the little indignities that they have to 456 00:25:20,800 --> 00:25:23,920 Speaker 1: suffer in the name of science as we can figure 457 00:25:23,920 --> 00:25:28,199 Speaker 1: out our drug effits. Yeah. Yeah, so that you know, 458 00:25:28,280 --> 00:25:30,280 Speaker 1: like I said on the flip side there, I mean, yes, 459 00:25:30,359 --> 00:25:32,959 Speaker 1: like you said, it can be um can be very healing. 460 00:25:33,160 --> 00:25:36,040 Speaker 1: But I mean music is powerful in the sense that 461 00:25:36,119 --> 00:25:42,520 Speaker 1: it could illuminate um other other areas of your brain. 462 00:25:42,840 --> 00:25:46,560 Speaker 1: I shouldn't say illuminate, I should say and enhance those 463 00:25:47,000 --> 00:25:48,680 Speaker 1: parts of your brain. If you happen to be on 464 00:25:48,760 --> 00:25:53,840 Speaker 1: meth and you are a mouse out there, quick little 465 00:25:53,880 --> 00:25:57,159 Speaker 1: diversion there. So I think what all of this is 466 00:25:57,240 --> 00:26:02,439 Speaker 1: pointing to is that we have something called neural plasticity. Okay, 467 00:26:02,480 --> 00:26:05,440 Speaker 1: and this just means that the brain is not set 468 00:26:05,440 --> 00:26:10,080 Speaker 1: in stone, that it's there are our neural architecture can change, right, Yeah, 469 00:26:10,119 --> 00:26:12,639 Speaker 1: I mean this is like the really incredible message of 470 00:26:12,640 --> 00:26:15,639 Speaker 1: all of this is that if if you can help 471 00:26:16,560 --> 00:26:21,240 Speaker 1: uh someone who has Parkinson's, you know, get back on 472 00:26:21,280 --> 00:26:24,640 Speaker 1: the road. To therapy with music because it's stimulating parts 473 00:26:24,640 --> 00:26:27,160 Speaker 1: of their brain that they didn't know it could stimulate before. 474 00:26:27,359 --> 00:26:29,840 Speaker 1: What can it do to our own brains? You know, 475 00:26:29,880 --> 00:26:35,280 Speaker 1: what can we going forward to learn from us? Yeah, 476 00:26:35,320 --> 00:26:37,160 Speaker 1: and just also the message to that, like when you're 477 00:26:37,200 --> 00:26:39,399 Speaker 1: listening to music, it's like we tend to sort of 478 00:26:39,400 --> 00:26:41,800 Speaker 1: think our music something I listened to it in the background, 479 00:26:41,880 --> 00:26:44,040 Speaker 1: you know, or you know, it's it's playing in the car, 480 00:26:44,240 --> 00:26:45,840 Speaker 1: or you know, I I turned it on to just 481 00:26:45,920 --> 00:26:47,840 Speaker 1: chill out or rock out in the afternoon or what 482 00:26:47,960 --> 00:26:49,920 Speaker 1: you know, whatever however you do it. But but something 483 00:26:50,000 --> 00:26:53,840 Speaker 1: really deeper is going on. You know, You're it's kind 484 00:26:53,840 --> 00:26:56,960 Speaker 1: of like it's you, You're, you're you're sort of recharging 485 00:26:57,000 --> 00:27:00,639 Speaker 1: your your mind, rewriting your mind, even depending on what 486 00:27:00,640 --> 00:27:02,760 Speaker 1: you're listening to and how you listen to it, right, 487 00:27:02,800 --> 00:27:04,920 Speaker 1: your emotions are being provoked and you may not even 488 00:27:04,920 --> 00:27:06,440 Speaker 1: know it. Just I mean, you might be in the 489 00:27:06,480 --> 00:27:11,960 Speaker 1: elevator listening to elevator music. So you know, music, music 490 00:27:12,119 --> 00:27:15,639 Speaker 1: is manipulation too in that sense. And we're in the 491 00:27:15,720 --> 00:27:18,040 Speaker 1: day and age where we're surrounded by and you know, 492 00:27:18,080 --> 00:27:21,000 Speaker 1: I actually, you know, thankfully for me, I feel like 493 00:27:21,480 --> 00:27:23,199 Speaker 1: we're in the day and age where we have access 494 00:27:23,240 --> 00:27:27,080 Speaker 1: to so much music at the same time it is 495 00:27:27,240 --> 00:27:30,720 Speaker 1: it's ubiquitous. Yeah, it is everywhere, and it's just there. 496 00:27:30,840 --> 00:27:33,360 Speaker 1: There's so much great music out there. And like one 497 00:27:33,400 --> 00:27:35,200 Speaker 1: of the I think the good things about the Internet 498 00:27:35,560 --> 00:27:37,760 Speaker 1: is that you had It's like you can explore so much, 499 00:27:38,400 --> 00:27:40,520 Speaker 1: whereas like when I was in high school, had like 500 00:27:40,560 --> 00:27:43,159 Speaker 1: the worst musical taste because I had so little to 501 00:27:43,560 --> 00:27:46,560 Speaker 1: pull from, you know, right, Yeah, and this is interesting 502 00:27:46,600 --> 00:27:52,480 Speaker 1: to found this out that perfect pitch in Western cultures, uh, 503 00:27:52,560 --> 00:27:56,600 Speaker 1: fourteen percent of the population is represented, which is miniscule, right, 504 00:27:56,680 --> 00:28:02,560 Speaker 1: people who have perfect pitch, But in Asian cultures that 505 00:28:02,840 --> 00:28:07,640 Speaker 1: it's actually yeah, and there's warm theorist who comes at 506 00:28:07,680 --> 00:28:13,120 Speaker 1: it by saying that those languages are microtonal and um. 507 00:28:13,359 --> 00:28:15,000 Speaker 1: In fact, I think about it this way. Have you 508 00:28:15,080 --> 00:28:18,880 Speaker 1: ever heard Chinese opera? Yes, okay, probably the first time 509 00:28:18,880 --> 00:28:20,800 Speaker 1: you heard it, did it seem sort of jarring and 510 00:28:21,720 --> 00:28:25,640 Speaker 1: maybe even off key and no offense to people who 511 00:28:25,640 --> 00:28:29,520 Speaker 1: love it. But every time I've heard it it's starring okay, So, 512 00:28:29,880 --> 00:28:34,399 Speaker 1: and I think that's because we're all, you know, creating 513 00:28:34,440 --> 00:28:39,520 Speaker 1: these these neural pathways right in neural systems of understanding 514 00:28:39,520 --> 00:28:41,400 Speaker 1: of music, and so what you're exposed to is a 515 00:28:41,440 --> 00:28:43,560 Speaker 1: Westerner is probably what your preference is going to be. 516 00:28:44,200 --> 00:28:48,400 Speaker 1: And so if you, as an Asian have a microtonal language, 517 00:28:48,720 --> 00:28:51,600 Speaker 1: then what that's basically doing for you is giving you 518 00:28:51,640 --> 00:28:57,719 Speaker 1: a more nuanced understanding of pitch, tone, melody, rhythm. And 519 00:28:57,760 --> 00:29:00,880 Speaker 1: so the idea is that put you in a lot 520 00:29:00,920 --> 00:29:04,320 Speaker 1: better position to be able to have perfect pitch and 521 00:29:04,360 --> 00:29:09,720 Speaker 1: detect it, which is another very cool crossroads I think 522 00:29:09,760 --> 00:29:13,080 Speaker 1: of language and music and something that we have to 523 00:29:13,280 --> 00:29:19,720 Speaker 1: reconsider how music works with language, um in its own right. Interesting. 524 00:29:21,040 --> 00:29:24,040 Speaker 1: So it's that's sort of exciting to me. Yeah, now 525 00:29:24,120 --> 00:29:26,200 Speaker 1: I will I do have to stress. I do like 526 00:29:26,240 --> 00:29:30,560 Speaker 1: a lot of Asian music, just not not Chinese like 527 00:29:30,600 --> 00:29:36,880 Speaker 1: court orchestra type stuff. Well sure, yeah, but I get it. 528 00:29:36,880 --> 00:29:38,800 Speaker 1: It's not first on my playlist. Yeah, it's it's it's 529 00:29:38,800 --> 00:29:40,680 Speaker 1: a little jarring. So if you want to know more 530 00:29:40,680 --> 00:29:43,760 Speaker 1: about these topics, go to the House to Works dot 531 00:29:43,760 --> 00:29:45,880 Speaker 1: com website and check out is There a Link Between 532 00:29:45,960 --> 00:29:49,520 Speaker 1: Music and Happiness by Molly Edmonds And if you happen to, 533 00:29:50,840 --> 00:29:53,080 Speaker 1: you know, hit the video store. If you're turning into 534 00:29:53,080 --> 00:29:56,680 Speaker 1: PBS or you you just use Netflix, especially Netflix streaming. 535 00:29:56,920 --> 00:30:00,680 Speaker 1: You can watch the documentary The Music Instincts Aience and Song. 536 00:30:01,160 --> 00:30:05,000 Speaker 1: It is a fascinating what two hours, Yeah, and it 537 00:30:05,120 --> 00:30:08,160 Speaker 1: just it really hits. Uh. It's like some of the 538 00:30:08,200 --> 00:30:10,200 Speaker 1: stuff we've talked about, but then the whole the whole 539 00:30:10,480 --> 00:30:14,120 Speaker 1: other area too. Yeah. Bobby mcfarren is uh, I guess 540 00:30:14,160 --> 00:30:16,440 Speaker 1: you would say, uh, sort of the host of it. Yeah, 541 00:30:16,480 --> 00:30:20,120 Speaker 1: yeahs at least a co host in it. They get 542 00:30:20,120 --> 00:30:24,800 Speaker 1: pretty heavy into the neurological implications of of music and 543 00:30:24,800 --> 00:30:27,120 Speaker 1: and what it what it says, what it might say 544 00:30:27,240 --> 00:30:30,440 Speaker 1: in the future. Really really good, really good show. Check 545 00:30:30,480 --> 00:30:34,640 Speaker 1: it out. And music and space, music in space. Yes. Yeah. 546 00:30:34,960 --> 00:30:37,760 Speaker 1: So if you've got an earworm that you would like 547 00:30:37,840 --> 00:30:40,800 Speaker 1: to let us know about, we want to hear about it. Yeah, 548 00:30:40,840 --> 00:30:42,840 Speaker 1: And I'm interested to know of anybody else out there 549 00:30:42,920 --> 00:30:46,680 Speaker 1: has the situation where most of the earworms are are 550 00:30:46,760 --> 00:30:49,320 Speaker 1: non lyrical because I haven't really I don't know if 551 00:30:49,360 --> 00:30:51,160 Speaker 1: I've meant anybody that else it has that. Not that 552 00:30:51,200 --> 00:30:53,920 Speaker 1: I'm patting myself on the back back for being strange 553 00:30:54,000 --> 00:30:57,000 Speaker 1: or anything, but I just feel like other himself on 554 00:30:57,040 --> 00:30:59,920 Speaker 1: the back, but some other people have to have that too, 555 00:31:00,280 --> 00:31:03,840 Speaker 1: so yeah, absolutely let us now. You can email us 556 00:31:03,880 --> 00:31:07,080 Speaker 1: at blow the Mind at how stuff works dot com, 557 00:31:07,120 --> 00:31:09,200 Speaker 1: and you can also find us on Facebook and Twitter, 558 00:31:09,280 --> 00:31:11,360 Speaker 1: where you can also find us as blow the Mind. 559 00:31:11,720 --> 00:31:17,920 Speaker 1: Thanks for listening. For more on this and thousands of 560 00:31:17,920 --> 00:31:20,720 Speaker 1: other topics, visit how stuff works dot com. To learn 561 00:31:20,720 --> 00:31:23,560 Speaker 1: more about the podcast, click on the podcast icon in 562 00:31:23,600 --> 00:31:26,600 Speaker 1: the upper right corner of our homepage. The how stuff 563 00:31:26,640 --> 00:31:30,120 Speaker 1: Works iPhone app has a ride. Download it today on iTunes.