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抑郁症患者睡眠脑电图的微观结构特征:诊断意义

Microarchitectural findings in sleep EEG in depression: diagnostic implications.

作者信息

Armitage R

机构信息

Department of Psychiatry, University of Texas, Southwestern Medical Center at Dallas 75235-9070, USA.

出版信息

Biol Psychiatry. 1995 Jan 15;37(2):72-84. doi: 10.1016/0006-3223(94)00082-E.

Abstract

A 10-year review of sleep electroencephalogram (EEG)-frequency analysis in depression reveals several consistent microarchitectural abnormalities. Decreased delta amplitude or incidence, particularly in the first 100 min of sleep, has been reported. Elevated fast-frequency EEG has been shown in both remitted and symptomatic depressed patients, especially in the right hemisphere. Further, interhemispheric coherence is reduced in both depressed groups. These microarchitectural features may not be present in narcolepsy, obsessive-compulsive disorders, or schizophrenia, despite similarities in sleep-stage characteristics. Collectively, these findings suggest that computer analysis of the sleep EEG may differentiate depressed patients from normal controls and from other clinical populations.

摘要

一项关于抑郁症睡眠脑电图(EEG)频率分析的10年回顾揭示了几个一致的微观结构异常。据报道,δ波振幅或发生率降低,尤其是在睡眠的前100分钟。在缓解期和有症状的抑郁症患者中均显示出高频EEG升高,尤其是在右半球。此外,两个抑郁症组的半球间连贯性均降低。尽管睡眠阶段特征相似,但发作性睡病、强迫症或精神分裂症可能不存在这些微观结构特征。总体而言,这些发现表明,睡眠EEG的计算机分析可能会将抑郁症患者与正常对照以及其他临床人群区分开来。

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