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Oscillatory patterns in the electroencephalogram at sleep onset

机译:睡眠发作时脑电图中的振荡图案

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Falling asleep is a gradually unfolding process. We investigated the role of various oscillatory activities including sleep spindles and alpha and delta oscillations at sleep onset (SO) by automatically detecting oscillatory events. We used two datasets of healthy young males, eight with four baseline recordings, and eight with a baseline and recovery sleep after 40 h of sustained wakefulness. We analyzed the 2-min interval before SO (stage 2) and the five consecutive 2-min intervals after SO. The incidence of delta/theta events reached its maximum in the first 2-min episode after SO, while the frequency of them was continuously decreasing from stage 1 onwards, continuing over SO and further into deeper sleep. Interestingly, this decrease of the frequencies of the oscillations were not affected by increased sleep pressure, in contrast to the incidence which increased. We observed an increasing number of alpha events after SO, predominantly frontally, with their prevalence varying strongly across individuals. Sleep spindles started to occur after SO, with first an increasing then a decreasing incidence and a continuous decrease in their frequency. Again, the frequency of the spindles was not altered after sleep deprivation. Oscillatory events revealed derivation dependent aspects. However, these regional aspects were not specific of the process of SO but rather reflect a general sleep related phenomenon. No individual traits of SO features (incidence and frequency of oscillations) and their dynamics were observed. Delta/theta events are important features for the analysis of SO in addition to slow waves.
机译:睡着的是逐渐展开的过程。我们通过自动检测振荡事件来调查各种振荡活动,包括睡眠主轴和α和α和δ和δ振动的Δ振荡。我们使用了两个健康年轻男性的数据集,八个有四个基线记录,八个持续清醒后40小时后有八个基线和恢复睡眠。我们在如此(第2阶段)和五个连续的2分钟间隔之前分析了2分钟的间隔。 Δ/θ事件的发病率在前2分钟内最大达到其最大值,而它们的频率从第1阶段持续减少,继续如此,进一步进入更深的睡眠。有趣的是,振荡频率的降低不受增加的睡眠压力的影响,与增加的发病率相比。我们在如此之后观察到了越来越多的alpha事件,主要是他们的流行率在各个中强烈变化。睡眠主轴开始发生在所以之后,首先增加了发病率降低和频率的连续降低。同样,睡眠剥夺后,主轴的频率不会改变。振荡事件显示出衍生依赖方面。然而,这些区域方面没有具体的过程,而是反映一般睡眠相关现象。没有观察到所以特征的单独性状(振荡的发生率和频率)及其动力学。 Delta / Theta事件是分析的重要特征,但除了慢波之外。

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