急性部分睡眠剥夺状态下高强度运动前后的静息态脑电微状态分析

目的:探究青少年在急性部分睡眠剥夺状态下进行高强度运动前后静息态脑电(EEG,electroencephalography)微状态的变化特征。方法:选取20名健康男性青少年(18~22岁)为实验对象,前后两次随机在正常睡眠(Control)和单次部分睡眠剥夺(Sleep Deprivation,SD)的状态下,于次日上午参与跑台的布鲁斯(Bruce)运动方案;对其运动前后6min的静息态EEG信号进行采集,基于Matlab软件对数据进行微状态分析,选取持续时间、时间覆盖率、发生频率、转换概率作为分析指标。结果:与Control相比较,受试者SD状态下的微状态C的持续时间和时间覆盖率显著增加(P<0.05),微状态D的发生频率显著减少(P<0.05),微状态A和B更倾向于向C转换(P<0.05);而SD后进行大强度运动导致受试者微状态C的持续时间和时间覆盖率极显著增加(P<0.001),微状态D的持续时间和发生频率显著减少(P<0.05),微状态A、B更倾向于向C转换,而微状态C更倾向于向B和D转换(P<0.05 & P<0.01)。结论:睡眠缺失会破坏静息态网络之间的动态平衡,这种失衡在睡眠不足状态下进行运动后会更加严重高强度。

Resting-state EEG Microstate Analysis Before and After High-intensity Exercise under Acute-partial Sleep Deprivation Condition

This study was to explore characterization of resting EEG (electroencephalography) microstates before and after high-intensity exercise in adolescents under acute-partial sleep deprivation condition. Twenty healthy male adolescents (18~22 years) were selected as experimental subjects and were separated by either normal sleep (Control) or one-night partial sleep deprivation (SD), and they performed treadmill with Bruce protocol following the morning. Their resting state EEG signals were collected 6 min before and after exercise, and the selected data with duration, contribution, occurrence and transition were analyzed by microstate analysis based on Matlab software. Compared to the Control, the duration and contribution of microstate C was significantly increased (P<0.05), the occurrence of microstate D was significantly reduced (P<0.05) and microstates A and B were more inclined to transform to C in subjects with SD (P<0.05), whereas high-intensity exercise under SD condition resulted in a highly significant increase in the duration and contribution of microstate C in subjects (P<0.001), a significant decrease in the duration and occurrence of microstate D (P<0.05), and a greater tendency for microstates A and B to transform to C, while microstate C tended to transform to B and D (P<0.05 & 0.01). Sleep deprivation disrupted the dynamic balance between resting state networks, and this imbalance was exacerbated after exercising under sleep deprivation condition.