睡眠脑电图微观结构在时频域的定量分析。

Quantitative analysis of sleep EEG microstructure in the time-frequency domain.

作者信息

De Carli Fabrizio, Nobili Lino, Beelke Manolo, Watanabe Tsuyoshi, Smerieri Arianna, Parrino Liborio, Terzano Mario Giovanni, Ferrillo Franco

机构信息

Istituto di Bioimmagini e Fisiologia Molecolare, CNR, Via de Toni 5, 16132 Genova, Italy.

出版信息

Brain Res Bull. 2004 Jun 30;63(5):399-405. doi: 10.1016/j.brainresbull.2003.12.013.

Abstract

A number of phasic events influence sleep quality and sleep macrostructure. The detection of arousals and the analysis of cyclic alternating patterns (CAP) support the evaluation of sleep fragmentation and instability. Sixteen polygraphic overnight recordings were visually inspected for conventional Rechtscaffen and Kales scoring, while arousals were detected following the criteria of the American Sleep Disorders Association (ASDA). Three electroencephalograph (EEG) segments were associated to each event, corresponding to background activity, pre-arousal period and arousal. The study was supplemented by the analysis of time-frequency distribution of EEG within each subtype of phase A in the CAP. The arousals were characterized by the increase of alpha and beta power with regard to background. Within NREM sleep most of the arousals were preceded by a transient increase of delta power. The time-frequency evolution of the phase A of the CAP sequence showed a strong prevalence of delta activity during the whole A1, but high amplitude delta waves were found also in the first 2/3 s of A2 and A3, followed by desynchronization. Our results underline the strict relationship between the ASDA arousals, and the subtype A2 and A3 within the CAP: in both the association between a short sequence of transient slow waves and the successive increase of frequency and decrease of amplitude characterizes the arousal response.

摘要

许多阶段性事件会影响睡眠质量和睡眠宏观结构。对觉醒的检测以及对周期性交替模式(CAP)的分析有助于评估睡眠片段化和不稳定性。对16份多导睡眠夜间记录进行了目视检查,以进行传统的 Rechtscaffen 和 Kales 评分,同时按照美国睡眠障碍协会(ASDA)的标准检测觉醒。每个事件关联三个脑电图(EEG)片段,分别对应背景活动、觉醒前期和觉醒期。该研究还通过分析CAP中A相各亚型内EEG的时频分布来补充。觉醒的特征是相对于背景,α和β功率增加。在非快速眼动睡眠中,大多数觉醒之前δ功率会短暂增加。CAP序列A相的时频演变显示,在整个A1期间δ活动占主导,但在A2和A3的前2/3秒也发现了高振幅δ波,随后是去同步化。我们的结果强调了ASDA觉醒与CAP中的A2和A3亚型之间的紧密关系:在这两种情况中,短暂慢波的短序列与随后频率增加和振幅减小之间的关联都表征了觉醒反应。

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