In the network analysis, the functional connectivity (FC), assessed with Pearson correlation coefficients, showed that the connectivity strength decreased between the left frontal lobe (F3) and left parietal lobe (C3) in the SWS group. 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. The sleep efficiency in the SWS group was ameliorated. Results: We found that the sleep efficiency increased in the SWS group but decreased in REM and WN groups. EEG and other physiological signals were recorded by polysomnography. 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. Methods: A total of 33 young participants were recruited and randomly divided into three groups. However, the neural mechanisms of brain-wave music on the quality of sleep need to be clarified. 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. 4Department of Composition, Sichuan Conservatory of Music, Chengdu, ChinaĪim: This study investigated the neural mechanisms of brain-wave music on sleep quality.īackground: Sleep disorders are a common health problem in our society and may result in fatigue, depression, and problems in daytime functioning.3Center for Information in Biomedicine, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China.2The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China. 1School of Computer Science, Chengdu University of Information Technology, Chengdu, China.Dongrui Gao 1,2,3†, Siyu Long 3†, Hua Yang 4†, Yibo Cheng 3, Sijia Guo 3, Yue Yu 2, Tiejun Liu 2,3, Li Dong 2,3, Jing Lu 2,3* and Dezhong Yao 2,3*
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