Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland.
Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.
Sleep. 2020 Jul 13;43(7). doi: 10.1093/sleep/zsz324.
The present study aimed at assessing the temporal non-rapid eye movement (NREM) EEG arousal distribution within and across sleep cycles and its modifications with aging and nighttime transportation noise exposure, factors that typically increase the incidence of EEG arousals.
Twenty-six young (19-33 years, 12 women) and 16 older (52-70 years, 8 women) healthy volunteers underwent a 6-day polysomnographic laboratory study. Participants spent two noise-free nights and four transportation noise exposure nights, two with continuous and two characterized by eventful noise (average sound levels of 45 dB, maximum sound levels between 50 and 62 dB for eventful noise). Generalized mixed models were used to model the time course of EEG arousal rates during NREM sleep and included cycle, age, and noise as independent variables.
Arousal rate variation within NREM sleep cycles was best described by a u-shaped course with variations across cycles. Older participants had higher overall arousal rates than the younger individuals with differences for the first and the fourth cycle depending on the age group. During eventful noise nights, overall arousal rates were increased compared to noise-free nights. Additional analyses suggested that the arousal rate time course was partially mediated by slow wave sleep (SWS).
The characteristic u-shaped arousal rate time course indicates phases of reduced physiological sleep stability both at the beginning and end of NREM cycles. Small effects on the overall arousal rate by eventful noise exposure suggest a preserved physiological within- and across-cycle arousal evolution with noise exposure, while aging affected the shape depending on the cycle.
本研究旨在评估睡眠周期内和睡眠周期之间的非快速眼动(NREM)脑电图唤醒分布及其随年龄和夜间交通噪声暴露的变化,这些因素通常会增加脑电图唤醒的发生率。
26 名年轻(19-33 岁,12 名女性)和 16 名老年(52-70 岁,8 名女性)健康志愿者接受了为期 6 天的多导睡眠图实验室研究。参与者度过了两个无噪声的夜晚和四个交通噪声暴露的夜晚,其中两个是连续的,两个是有事件发生的噪声(平均声级为 45dB,有事件发生的噪声的最大声级在 50 到 62dB 之间)。广义混合模型用于对 NREM 睡眠期间脑电图唤醒率的时间过程进行建模,并将周期、年龄和噪声作为独立变量。
NREM 睡眠周期内唤醒率的变化最好用 U 形曲线来描述,并且在周期之间存在变化。与年轻个体相比,老年参与者的整体唤醒率更高,而第一个和第四个周期的差异取决于年龄组。在有事件发生的噪声夜晚,整体唤醒率比无噪声夜晚高。进一步的分析表明,唤醒率的时间过程部分由慢波睡眠(SWS)介导。
特征性的 U 形唤醒率时间过程表明,在 NREM 周期的开始和结束时,生理睡眠稳定性都降低了。有事件发生的噪声暴露对整体唤醒率的小影响表明,在噪声暴露的情况下,生理唤醒的内循环和跨循环演变是有保留的,而衰老则取决于周期而影响其形状。