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| Changes of EEG Microstate in Patients with Sleep Apnea Syndrome |
| Xiong Xin, Yang Xinliang, Luo Jianhua, Yi Sanli, He Jianfeng* |
| (Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China) |
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Abstract Sleep apnea syndrome (SAS) is a common sleep disorder. Traditionally, methods such as time-frequency analysis are used to study the abnormality of EEG signals, while ignoring the spatial location information and difference in characteristics. In this paper, the method of microstate analysis was used to analyze the EEG of five sleep stages (W, N1, N2, N3, REM) of healthy and SAS patients, and to explore the temporal and spatial differences in sleep EEG of SAS patients. The sleep EEG of 66 SAS patients and 10 healthy people was selected and the GFP of W-REM was calculated, and the GFP peak data were used for clustering. As a result, four microstates classes were obtained, the four microstate topographic maps were referred as right fronto-left posterior (A), left fronto-right posterior (B), fronto-occipital midline (C) and frontal midline (D), and the microstate parameters (occurrence frequency, average duration, coverage rate) were calculated. In addition, the static properties global explained variance (GEV), dynamic properties (entropy rate), transition probabilities, and symmetry of transition matrices of the microstate sequence were calculated. Finally, the Hurst index was used to evaluate the long-range correlation of microstate sequences. In the W-REM stage, there were significant differences in the frequency, average duration, coverage rate, GEV, conversion probability, entropy rate and Hurst index between the healthy people and SAS patients (P<0.05). The transfer matrix was symmetric (P>0.01). The Hurst index was greater than 0.5, with remote correlation. In conclusion, compared with the healthy people, SAS patients had altered microstate parameters and sequences in the W-REM stage.
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Received: 10 August 2021
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Corresponding Authors:
*Email:jfenghe@foxmail.com
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