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首页> 外文期刊>Physiology & behavior >When does this cortical area drop off? Principal component structuring of the EEG spectrum yields yes-or-no criteria of local sleep onset
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When does this cortical area drop off? Principal component structuring of the EEG spectrum yields yes-or-no criteria of local sleep onset

机译:这个皮质区域何时下降?脑电图谱的主成分结构产生局部睡眠发作的是或否标准

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The traditional sleep scoring approach has been invented long before the recognition of strictly local nature of the sleep process. It considers sleep as a whole-organism behavior state, and, thus, it cannot be used for identification of sleep onset in a separate brain region. Therefore, this paper was aimed on testing whether the practically useful, simple and reliable yes-or-no criterion of sleep onset in a particular cortical region might be developed through applying principal component analysis to the electroencephalographic (EEG) spectra. The resting EEG was recorded with 2-hour intervals throughout 43-61-hour prolongation of wakefulness, and during 12 20-minute attempts to nap in the course of 24-hour wakefulness (15 and 18 adults, respectively). The EEG power spectra were averaged on 1-min intervals of each resting EEG record and on 1-min intervals of each napping attempt, respectively. Since we earlier demonstrated that scores on the first and second principal components of the EEG spectrum exhibit dramatic changes during the sleep onset period, a zero-crossing buildup of the first score and a zero-crossing decline of the second score were examined as possible yes-or-no markers of regional sleep onsets. The results suggest that, irrespective of electrode location, sleep onset criterion and duration of preceding wakefulness, a highly significant zero-crossing decline of the second principal component score always occurred within 1-minute interval of transition from wakefulness to sleep. Therefore, it was concluded that such zero-crossing decline can serve as a reliable, simple, and practically useful yes-or-no marker of drop off event in a given cortical area. (C) 2014 Elsevier Inc All rights reserved.
机译:在认识到睡眠过程的严格本地性之前,就已经发明了传统的睡眠评分方法。它把睡眠视为整个生物的行为状态,因此,不能用于识别单独大脑区域的睡眠发作。因此,本文旨在测试是否可以通过将主成分分析应用于脑电图(EEG)谱图来开发特定皮质区域睡眠发作的实用,简单和可靠的是或否准则。在整个43-61小时的清醒时间中,以2小时的间隔记录静息的EEG,并在24小时的清醒过程中小睡12次20分钟,分别记录15名和18名成年人。在每个静息EEG记录的1分钟间隔和每个小睡尝试的1分钟间隔上分别平均EEG功率谱。由于我们较早的研究表明,EEG频谱的第一和第二主成分的得分在睡眠发作期间会发生显着变化,因此我们尽可能检查了第一得分的零交叉累积和第二得分的零交叉下降是-或没有区域性睡眠发作的标志。结果表明,无论电极的位置,睡眠发作标准和先前的清醒持续时间如何,第二主要成分评分的高度零交叉下降总是发生在从清醒到睡眠的1分钟间隔内。因此,可以得出这样的结论:这种零交叉下降可以作为可靠,简单和实际有用的是或否标记在给定的皮质区域内脱落事件的标志。 (C)2014 Elsevier Inc保留所有权利。

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