SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study

SWS Brain-Wave Music May Improve the Quality of Sleep: An EEG Study
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SWS 脑电波音乐可以改善睡眠质量:一项脑电图研究

DOI:
10.3389/fnins.2020.00067
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发表时间:
2020-02-11
影响因子:
4.3
通讯作者:
Yao, Dezhong
Yao, Dezhong
中科院分区:
医学2区
文献类型:
--
作者:
Gao, Dongrui;Long, Siyu;Yao, Dezhong

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目的探讨脑波音乐对睡眠质量影响的神经机制。在我们的社会中,睡眠障碍是一个常见的健康问题,它可能导致疲劳、抑郁和白天的功能问题。先前的研究表明,脑电图(EEG)信号产生的脑电波音乐可以在情绪上影响我们的神经系统,对睡眠有积极影响。然而,脑波音乐对睡眠质量的神经机制还有待进一步研究。方法招募33名青年志愿者,随机分为3组。参与者在睡前听20分钟的快速眼动(REM)脑电波音乐(第一组:13名受试者),慢波睡眠(SWS)脑电波音乐(第二组:11名受试者)或白噪音(对照组:9名受试者),为期6天。用多导睡眠图记录脑电图及其他生理信号。结果SWS组睡眠效率提高,REM组和WN组睡眠效率降低。SWS组睡眠效率有所改善[t(10) = -1.943, p = 0.076]。在脑电功率谱密度分析中,REM组和对照组的δ功率谱密度升高,而SWS组的δ功率谱密度降低[F(2,31) = 7.909, p = 0.005]。在网络分析中,使用Pearson相关系数评估功能连通性(FC)显示,SWS组左额叶(F3)与左顶叶(C3)之间的连通性强度下降[t(10) = 1.969, p = 0.073]。此外,SWS组左额叶和左顶叶FC与睡眠潜伏期呈负相关(r = -0.527, p = 0.064)。结论慢波睡眠脑波音乐可能对睡眠质量有积极影响,而快速眼动脑波音乐或WN可能没有积极影响。此外,较好的睡眠质量可能与脑电δ波段功率谱密度降低、左额叶与左顶叶间FC增加有关。如果有更多的数据证实,SWS脑波音乐可能是一种安全、廉价的临床应用方法。
Aim This study investigated the neural mechanisms of brain-wave music on sleep quality. Background Sleep 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. Methods A 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. Results We 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). Conclusion Slow-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.