McCauley Peter, Kalachev Leonid V, Mollicone Daniel J, Banks Siobhan, Dinges David F, Van Dongen Hans P A
Sleep and Performance Research Center, Washington State University, Spokane, WA ; Department of Mathematical Sciences, University of Montana, Missoula, MT.
Sleep. 2013 Dec 1;36(12):1987-97. doi: 10.5665/sleep.3246.
Recent experimental observations and theoretical advances have indicated that the homeostatic equilibrium for sleep/wake regulation--and thereby sensitivity to neurobehavioral impairment from sleep loss--is modulated by prior sleep/wake history. This phenomenon was predicted by a biomathematical model developed to explain changes in neurobehavioral performance across days in laboratory studies of total sleep deprivation and sustained sleep restriction. The present paper focuses on the dynamics of neurobehavioral performance within days in this biomathematical model of fatigue. Without increasing the number of model parameters, the model was updated by incorporating time-dependence in the amplitude of the circadian modulation of performance. The updated model was calibrated using a large dataset from three laboratory experiments on psychomotor vigilance test (PVT) performance, under conditions of sleep loss and circadian misalignment; and validated using another large dataset from three different laboratory experiments. The time-dependence of circadian amplitude resulted in improved goodness-of-fit in night shift schedules, nap sleep scenarios, and recovery from prior sleep loss. The updated model predicts that the homeostatic equilibrium for sleep/wake regulation--and thus sensitivity to sleep loss--depends not only on the duration but also on the circadian timing of prior sleep. This novel theoretical insight has important implications for predicting operator alertness during work schedules involving circadian misalignment such as night shift work.
最近的实验观察和理论进展表明,睡眠/觉醒调节的稳态平衡——进而对睡眠剥夺导致的神经行为损伤的敏感性——受到先前睡眠/觉醒历史的调节。这一现象是由一个生物数学模型预测的,该模型旨在解释在完全睡眠剥夺和持续睡眠限制的实验室研究中,神经行为表现随时间的变化。本文聚焦于这个疲劳生物数学模型中日内神经行为表现的动态变化。在不增加模型参数数量的情况下,通过在表现的昼夜节律调节幅度中纳入时间依赖性来更新模型。使用来自三项关于心理运动警觉性测试(PVT)表现的实验室实验的大型数据集,在睡眠剥夺和昼夜节律失调的条件下对更新后的模型进行校准;并使用来自另外三项不同实验室实验的大型数据集进行验证。昼夜节律幅度的时间依赖性导致在夜班时间表、小睡睡眠场景以及从先前睡眠剥夺中恢复的情况下,拟合优度得到改善。更新后的模型预测,睡眠/觉醒调节的稳态平衡——以及因此对睡眠剥夺的敏感性——不仅取决于先前睡眠的持续时间,还取决于其昼夜节律时间。这一新颖的理论见解对于预测涉及昼夜节律失调的工作时间表(如夜班工作)期间操作员的警觉性具有重要意义。