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Resting-State Subjective Experience and EEG Biomarkers Are Associated with Sleep-Onset Latency

机译:休息状态的主观经验和脑电图生物标志物与睡眠发作潜伏期有关。

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摘要

Difficulties initiating sleep are common in several disorders, including insomnia and attention deficit hyperactivity disorder. These disorders are prevalent, bearing significant societal and financial costs which require the consideration of new treatment strategies and a better understanding of the physiological and cognitive processes surrounding the time of preparing for sleep or falling asleep. Here, we search for neuro-cognitive associations in the resting state and examine their relevance for predicting sleep-onset latency using multi-level mixed models. Multiple EEG recordings were obtained from healthy male participants (N = 13) during a series of 5 min eyes-closed resting-state trials (in total, n = 223) followed by a period–varying in length up to 30 min–that either allowed subjects to transition into sleep (“sleep trials,” nsleep = 144) or was ended while they were still awake (“wake trials,” nwake = 79). After both eyes-closed rest, sleep and wake trials, subjective experience was assessed using the Amsterdam Resting-State Questionnaire (ARSQ). Our data revealed multiple associations between eyes-closed rest alpha and theta oscillations and ARSQ-dimensions Discontinuity of Mind, Self, Theory of Mind, Planning, and Sleepiness. The sleep trials showed that the transition toward the first sleep stage exclusively affected subjective experiences related to Theory of Mind, Planning, and Sleepiness. Importantly, sleep-onset latency was negatively associated both with eyes-closed rest ratings on the ARSQ dimension of Sleepiness and with the long-range temporal correlations of parietal theta oscillations derived by detrended fluctuation analysis (DFA). These results could be relevant to the development of personalized tools that help evaluate the success of falling asleep based on measures of resting-state cognition and EEG biomarkers.
机译:难以入睡在几种疾病中很常见,包括失眠和注意力缺陷多动障碍。这些疾病很普遍,承担着巨大的社会和经济成本,需要考虑新的治疗策略并更好地理解准备入睡或入睡时的生理和认知过程。在这里,我们搜索处于静止状态的神经认知关联,并使用多层混合模型检查它们与预测睡眠发作潜伏期的相关性。在一系列5分钟闭眼静息状态试验(总计,n = 223)中,从健康的男性参与者(N = 13)获得了多个EEG录音,然后进行了一段长达30分钟的变化,其中任一时间段允许受试者转变为睡眠状态(“睡眠试验”,nsleep = 144)或在他们仍处于清醒状态时被终止(“唤醒试验”,nwake = 79)。在闭眼休息,睡眠和唤醒试验后,使用阿姆斯特丹静息状态调查表(ARSQ)评估主观体验。我们的数据显示,闭眼的休息α和θ振荡与ARSQ维度的思维中断,自我,思维理论,计划和嗜睡之间存在多种关联。睡眠试验表明,向第一个睡眠阶段的过渡仅影响与心理理论,计划和嗜睡有关的主观体验。重要的是,睡眠开始潜伏期与睡眠状态的ARSQ维度上闭眼的静息等级以及由去趋势波动分析(DFA)得出的顶叶震荡的长期时间相关性均呈负相关。这些结果可能与个性化工具的开发有关,这些工具可以根据静止状态认知和EEG生物标志物的评估来帮助评估入睡的成功。

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