睡眠呼吸暂停综合症患者脑电微状态发生改变  

Changes of EEG Microstate in Patients with Sleep Apnea Syndrome

作　　者：熊馨[1] 杨鑫亮 罗剑花 易三莉[1] 贺建峰[1] 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)

机构地区：[1]昆明理工大学信息工程与自动化学院,昆明650500

出　　处：《中国生物医学工程学报》2023年第5期563-571,共9页Chinese Journal of Biomedical Engineering

基　　金：国家自然科学基金(82060329,8206070143,202201AT070108)。

摘　　要：睡眠呼吸暂停综合症(SAS)是一种常见的睡眠障碍,传统上往往采用时频分析等方法研究其脑电信号的异常,都忽略了睡眠脑电的空间位置信息和特征的差异。采用微状态分析的方法,分别对健康人和SAS患者5个睡眠阶段(W、N1、N2、N3、REM)的脑电进行分析,探究SAS患者睡眠脑电特征在时间和空间上的差异。选取66名SAS患者和10名健康人的睡眠脑电,计算W-REM的全局场功率(GFP)并取GFP峰值数据进行聚类。得到4个微状态,这4个微状态地形图分别呈现为右额左后(A)、左额右后(B)、额枕中线(C)和额中线(D),并且计算微状态参数(出现频率、平均持续时间、覆盖率)。此外,还计算了微状态序列的静态属性[全局方差(GEV)],动态属性(熵率),转换概率和转移矩阵的对称性。最后,用Hurst指数来评估微状态序列的远程相关性。在W-REM阶段,健康人和SAS患者的出现频率、平均持续时间、覆盖率、GEV、转换概率、熵率、Hurst指数均存在显著差异(P<0.05)。转移矩阵均具有对称性(P>0.01)。Hurst指数均大于0.5,具有远程相关性。与健康人相比,SAS患者W-N3阶段微状态B、C的持续时间降低。SAS患者GEV的SUM大于健康人,说明SAS患者大脑活跃度更高。W-N3阶段健康人的Hurst指数逐渐减小,长期记忆减弱,而SAS患者从N1-N3阶段Hurst指数逐渐减小。每个睡眠阶段健康人的熵率都大于SAS患者,携带的脑电信息较少。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.

关 键 词：睡眠脑电 微状态参数 微状态序列 

分 类 号：R318[医药卫生—生物医学工程]