SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study
AimThis study investigated the neural mechanisms of brain-wave music on sleep quality.BackgroundSleep disorders are a common health problem in our society and may result in fatigue, depression, and problems in daytime functioning. Previous studies have shown that brain-wave music generated from elec...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-02-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2020.00067/full |
| _version_ | 1819078835836026880 |
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| author | Dongrui Gao Dongrui Gao Dongrui Gao Siyu Long Hua Yang Yibo Cheng Sijia Guo Yue Yu Tiejun Liu Tiejun Liu Li Dong Li Dong Jing Lu Jing Lu Dezhong Yao Dezhong Yao |
| author_facet | Dongrui Gao Dongrui Gao Dongrui Gao Siyu Long Hua Yang Yibo Cheng Sijia Guo Yue Yu Tiejun Liu Tiejun Liu Li Dong Li Dong Jing Lu Jing Lu Dezhong Yao Dezhong Yao |
| author_sort | Dongrui Gao |
| collection | DOAJ |
| description | AimThis study investigated the neural mechanisms of brain-wave music on sleep quality.BackgroundSleep disorders are a common health problem in our society and may result in fatigue, depression, and problems in daytime functioning. Previous studies have shown that brain-wave music generated from electroencephalography (EEG) signals could emotionally affect our nervous system and have positive effects on sleep. However, the neural mechanisms of brain-wave music on the quality of sleep need to be clarified.MethodsA total of 33 young participants were recruited and randomly divided into three groups. The participants listened to rapid eye movement (REM) brain-wave music (Group 1: 13 subjects), slow-wave sleep (SWS) brain-wave music (Group 2: 11 subjects), or white noise (WN) (Control Group: 9 subjects) for 20 min before bedtime for 6 days. EEG and other physiological signals were recorded by polysomnography.ResultsWe found that the sleep efficiency increased in the SWS group but decreased in REM and WN groups. The sleep efficiency in the SWS group was ameliorated [t(10) = −1.943, p = 0.076]. In the EEG power spectral density analysis, the delta power spectral density in the REM group and in the control group increased, while that in the SWS group decreased [F(2,31) = 7.909, p = 0.005]. In the network analysis, the functional connectivity (FC), assessed with Pearson correlation coefficients, showed that the connectivity strength decreased [t(10) = 1.969, p = 0.073] between the left frontal lobe (F3) and left parietal lobe (C3) in the SWS group. In addition, there was a negative correlation between the FC of the left frontal lobe and the left parietal lobe and sleep latency in the SWS group (r = −0.527, p = 0.064).ConclusionSlow-wave sleep brain-wave music may have a positive effect on sleep quality, while REM brain-wave music or WN may not have a positive effect. Furthermore, better sleep quality might be caused by a decrease in the power spectral density of the delta band of EEG and an increase in the FC between the left frontal lobe and the left parietal lobe. SWS brain-wave music could be a safe and inexpensive method for clinical use if confirmed by more data. |
| first_indexed | 2024-12-21T19:19:25Z |
| format | Article |
| id | doaj.art-4a8edb070f134167825ca8d94abdf0f1 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-21T19:19:25Z |
| publishDate | 2020-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-4a8edb070f134167825ca8d94abdf0f12022-12-21T18:52:58ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2020-02-011410.3389/fnins.2020.00067504417SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG StudyDongrui Gao0Dongrui Gao1Dongrui Gao2Siyu Long3Hua Yang4Yibo Cheng5Sijia Guo6Yue Yu7Tiejun Liu8Tiejun Liu9Li Dong10Li Dong11Jing Lu12Jing Lu13Dezhong Yao14Dezhong Yao15School of Computer Science, Chengdu University of Information Technology, Chengdu, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Composition, Sichuan Conservatory of Music, Chengdu, ChinaCenter for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, ChinaCenter for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaAimThis study investigated the neural mechanisms of brain-wave music on sleep quality.BackgroundSleep disorders are a common health problem in our society and may result in fatigue, depression, and problems in daytime functioning. Previous studies have shown that brain-wave music generated from electroencephalography (EEG) signals could emotionally affect our nervous system and have positive effects on sleep. However, the neural mechanisms of brain-wave music on the quality of sleep need to be clarified.MethodsA total of 33 young participants were recruited and randomly divided into three groups. The participants listened to rapid eye movement (REM) brain-wave music (Group 1: 13 subjects), slow-wave sleep (SWS) brain-wave music (Group 2: 11 subjects), or white noise (WN) (Control Group: 9 subjects) for 20 min before bedtime for 6 days. EEG and other physiological signals were recorded by polysomnography.ResultsWe found that the sleep efficiency increased in the SWS group but decreased in REM and WN groups. The sleep efficiency in the SWS group was ameliorated [t(10) = −1.943, p = 0.076]. In the EEG power spectral density analysis, the delta power spectral density in the REM group and in the control group increased, while that in the SWS group decreased [F(2,31) = 7.909, p = 0.005]. In the network analysis, the functional connectivity (FC), assessed with Pearson correlation coefficients, showed that the connectivity strength decreased [t(10) = 1.969, p = 0.073] between the left frontal lobe (F3) and left parietal lobe (C3) in the SWS group. In addition, there was a negative correlation between the FC of the left frontal lobe and the left parietal lobe and sleep latency in the SWS group (r = −0.527, p = 0.064).ConclusionSlow-wave sleep brain-wave music may have a positive effect on sleep quality, while REM brain-wave music or WN may not have a positive effect. Furthermore, better sleep quality might be caused by a decrease in the power spectral density of the delta band of EEG and an increase in the FC between the left frontal lobe and the left parietal lobe. SWS brain-wave music could be a safe and inexpensive method for clinical use if confirmed by more data.https://www.frontiersin.org/article/10.3389/fnins.2020.00067/fullsleepbrain-wave musicelectroencephalographyneural plasticitypower spectra analysis |
| spellingShingle | Dongrui Gao Dongrui Gao Dongrui Gao Siyu Long Hua Yang Yibo Cheng Sijia Guo Yue Yu Tiejun Liu Tiejun Liu Li Dong Li Dong Jing Lu Jing Lu Dezhong Yao Dezhong Yao SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study Frontiers in Neuroscience sleep brain-wave music electroencephalography neural plasticity power spectra analysis |
| title | SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study |
| title_full | SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study |
| title_fullStr | SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study |
| title_full_unstemmed | SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study |
| title_short | SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study |
| title_sort | sws brain wave music may improve the quality of sleep an eeg study |
| topic | sleep brain-wave music electroencephalography neural plasticity power spectra analysis |
| url | https://www.frontiersin.org/article/10.3389/fnins.2020.00067/full |
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