Department of Electrical Engineering, Eindhoven University of Technology, De Zaale, Eindhoven, the Netherlands.
Brain, Behavior and Cognition Group, Philips Research, High Tech Campus 34, Eindhoven, the Netherlands; Department of Industrial Design, Eindhoven University of Technology, De Zaale, Eindhoven, the Netherlands.
Sleep Med. 2019 May;57:70-79. doi: 10.1016/j.sleep.2019.01.031. Epub 2019 Feb 6.
To study sleep EEG characteristics associated with misperception of Sleep Onset Latency (SOL).
Data analysis was based on secondary analysis of standard in-lab polysomnographic recordings in 20 elderly people with insomnia and 21 elderly good sleepers. Parameters indicating sleep fragmentation, such as number of awakenings, wake after sleep onset (WASO) and percentage of NREM1 were extracted from the polsysomnogram, as well as spectral power, microarousals and sleep spindle index. The correlation between these parameters during the first sleep cycle and the amount of misperceived sleep was assessed in the insomnia group. Additionally, we made a model of the minimum duration that a sleep fragment at sleep onset should have in order to be perceived as sleep, and we fitted this model to subjective SOLs of both subject groups.
Misperception of SOL was associated with increased percentage of NREM1 and more WASO during sleep cycle 1. For insomnia subjects, the best fit of modelled SOL with subjective SOL was found when assuming that sleep fragments shorter than 30 min at sleep onset were perceived as wake. The model indicated that healthy subjects are less sensitive to sleep interruptions and perceive fragments of 10 min or longer as sleep.
Our findings suggest that sleep onset misperception is related to sleep fragmentation at the beginning of the night. Moreover, we show that people with insomnia needed a longer duration of continuous sleep for the perception as such compared to controls. Further expanding the model could provide more detailed information about the underlying mechanisms of sleep misperception.
研究与睡眠潜伏期(SOL)感知错误相关的睡眠 EEG 特征。
数据分析基于对 20 名失眠老年患者和 21 名睡眠良好的老年患者标准实验室多导睡眠图记录的二次分析。从多导睡眠图中提取了表示睡眠碎片化的参数,如觉醒次数、睡眠后觉醒(WASO)和 NREM1 百分比,以及光谱功率、微觉醒和睡眠纺锤波指数。评估了这些参数在第一个睡眠周期与感知到的睡眠量之间的相关性在失眠组中。此外,我们建立了一个模型,以确定睡眠起始时的睡眠片段的最小持续时间,以便被视为睡眠,并将该模型拟合到两个研究组的主观 SOL 中。
SOL 的感知错误与睡眠周期 1 中 NREM1 百分比增加和更多 WASO 相关。对于失眠患者,当假设睡眠起始时持续时间短于 30 分钟的睡眠片段被感知为清醒时,模型化的 SOL 与主观 SOL 的拟合最佳。该模型表明,健康受试者对睡眠中断的敏感性较低,将 10 分钟或更长时间的片段视为睡眠。
我们的研究结果表明,睡眠起始感知错误与夜间开始时的睡眠碎片化有关。此外,我们发现与对照组相比,失眠患者需要更长时间的连续睡眠才能感知到这种睡眠。进一步扩展该模型可以提供有关睡眠感知错误潜在机制的更详细信息。