基于多通道AR建模的脑电相干性分析

M. Grewal, T. Ning, J. Bronzino
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引用次数: 8

摘要

采用多通道自回归模型和周期图方法确定了大鼠在安静清醒(QW)、慢波睡眠(SWS)和快速眼动(REM)睡眠的警觉状态下,海马区CA1和齿状回两个不同脑结构的电活动之间的相干性和相位测量。使用周期图和多通道自回归建模技术,发现高相干性和一致的相位差仅在快速眼动睡眠期间存在于频率范围内(4-11 Hz)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coherence analysis of EEG via multichannel AR modeling
The multichannel autoregressive model and the periodogram approach are used to determine coherence and phase measures between the electrical activity in two distinct brain structures of the rat namely, the subfields CA1 and dentate gyrus in the hippocampal formation, during the vigilance states of quiet waking (QW), slow-wave sleep (SWS), and rapid-eye-movement (REM) sleep. Using both periodogram and multichannel autoregressive modeling techniques, high coherence and consistent phase differences were found to exist within the theta range of frequencies (4-11 Hz) only during REM sleep.<>
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