The spectrum of the non-rapid eye movement sleep electroencephalogram following total sleep deprivation is trait-like.

The spectrum of the non-rapid eye movement sleep electroencephalogram following total sleep deprivation is trait-like.
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完全睡眠剥夺后的非快速眼动睡眠脑电图的频谱呈特征状。

DOI:
10.1111/jsr.12279
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发表时间:
2015
影响因子:
4.4
通讯作者:
VanDongen,HansPA
VanDongen,HansPA
中科院分区:
医学3区
文献类型:
--
作者:
Tarokh,Leila;Rusterholz,Thomas;Achermann,Peter;VanDongen,HansPA

文献摘要

相似文献

睡眠脑电图(EEG)频谱对个体是独特的,并且在多个基线记录中是稳定的。本研究的目的是探讨急性完全睡眠剥夺后睡眠脑电图频谱是否表现出相同的稳定特征。多导睡眠图(PSG)记录在20名健康成人在连续的睡眠期。12小时清醒后的三个晚上的基线睡眠[12小时卧床时间(TIB)]与36小时持续清醒后的三个晚上的恢复睡眠(12小时TIB)交错。使用非快速眼动(NREM)睡眠EEG(C3LM推导)的频谱分析计算0.75和16.0 Hz之间0.25 Hz频率箱中的功率。计算组内相关系数(ICC),以评估基线和恢复期夜间光谱单独和合并的稳定个体差异。基线和恢复期以及基线和恢复期合并的所有频率的ICC均较高。这些结果表明,NREM睡眠EEG的频谱在个体之间是显著不同的,在个体内是高度稳定的,并且对于已知对NREM睡眠EEG具有相当大影响的实验挑战(即睡眠剥夺)是稳健的。这些发现表明NREM睡眠EEG代表了一种特质。
The sleep electroencephalogram (EEG) spectrum is unique to an individual and stable across multiple baseline recordings. The aim of this study was to examine whether the sleep EEG spectrum exhibits the same stable characteristics after acute total sleep deprivation. Polysomnography (PSG) was recorded in 20 healthy adults across consecutive sleep periods. Three nights of baseline sleep [12 h time in bed (TIB)] following 12 h of wakefulness were interleaved with three nights of recovery sleep (12 h TIB) following 36 h of sustained wakefulness. Spectral analysis of the non‐rapid eye movement (NREM) sleep EEG (C3LM derivation) was used to calculate power in 0.25 Hz frequency bins between 0.75 and 16.0 Hz. Intraclass correlation coefficients (ICCs) were calculated to assess stable individual differences for baseline and recovery night spectra separately and combined. ICCs were high across all frequencies for baseline and recovery and for baseline and recovery combined. These results show that the spectrum of the NREM sleep EEG is substantially different among individuals, highly stable within individuals and robust to an experimental challenge (i.e. sleep deprivation) known to have considerable impact on the NREM sleep EEG. These findings indicate that the NREM sleep EEG represents a trait.