低频脑电成分在睡眠时相转换中的作用

The Role of Slow-Frequency EEG Oscillations during Sleep Transition

为研究主导睡眠时相转换的脑电(EEG)振荡,利用去趋势分析(DFA)方法计算大鼠不同睡眠时相下各种EEG振荡的标度指数及不同时相间标度指数的变异系数。结果显示,对同种振荡,不同时相间的标度指数显著不同;低频成分具有长程相关性,且其标度指数的变异系数在时相转换时最大。说明睡眠时相转换可能是通过类似于雪崩的过程实现,而且低频成分在时相转换时可能起主导作用。

To explore electroencephalogram（EEG） oscillation playing a key role during sleep transitions,detrended fluctuation analysis（DFA） was used to calculate the scaling exponents of various EEG oscillations during different vigilance states.The coefficients of variations of these scaling exponents between or among different vigilance states are calculated.The results reveal that the scaling exponents among the three sleep stages are significantly different for each oscillation;low-frequency EEG oscillations possesses long-range temporal correlations,and the coefficients of variations of their scaling exponents change vastly during sleep transitions.Thus sleep alternations may be achieved by the processes similar to avalanches,and low-frequency EEG oscillations may play a key role in sleep transitions.