A MODEL OF HUMAN SLEEP HOMEOSTASIS BASED ON EEG SLOW-WAVE ACTIVITY - QUANTITATIVE COMPARISON OF DATA AND SIMULATIONS
A MODEL OF HUMAN SLEEP HOMEOSTASIS BASED ON EEG SLOW-WAVE ACTIVITY - QUANTITATIVE COMPARISON OF DATA AND SIMULATIONS
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DOI：
10.1016/0361-9230(93)90016-5
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发表时间：
1993-01-01
影响因子：
3.8
通讯作者：
BORBELY, AA
中科院分区：
文献类型：
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作者：
ACHERMANN, P;DIJK, DJ;BORBELY, AA
脑电慢波活动(SWA；0.75-4.5赫兹频段的频谱功率)是先前清醒的持续时间的函数，因此也是睡眠稳态的指标。我们提出了一个模型，既解释了睡眠期间SWA的下降趋势，也解释了它在连续的非快速眼动(Non-REM)睡眠阶段的变化。以16个受试者，26个夜晚的经验SWA为参考，通过最优化方法估计模型参数的值。灵敏度分析表明，该模型对参数值的微小变化(+/-5%)具有很强的稳健性。估计的参数值被用来模拟三种不同实验方案的数据集(晚上睡眠或长时间醒来后的早晨睡眠，或习惯上床时间开始的长时间睡眠；n=8或9)。REM触发参数的时间是从经验数据推导出来的。模拟的SWA数据和经验的SWA数据非常吻合，甚至可以在延长睡眠期间重现偶尔的SWA晚期峰值。微小的差异表明昼夜节律对SWA有间接或直接的影响。仿真结果表明，睡眠调节的双过程模型中提出的睡眠动态平衡的概念可以改进为定量地解释经验数据，并预测唤醒或睡眠的延长引起的变化。
EEG slow-wave activity (SWA; spectral power in the 0.75-4.5 Hz band) is a function of the duration of prior waking and, thereby, an indicator of sleep homeostasis. We present a model that accounts for both the declining trend of SWA during sleep and for its variation within the successive nonrapid eye movement (non-REM) sleep episodes. The values of the model parameters were estimated by an optimization procedure in which empirical SWA of baseline nights (16 subjects, 26 nights) served as a reference. A sensitivity analysis revealed the model to be quite robust to small changes (+/-5%) of the parameter values. The estimated parameter values were used to simulate data sets from three different experimental protocols (sleep in the evening or sleep in the morning after prolonged waking, or extended sleep initiated at the habitual bedtime; n = 8 or 9). The timing of the REM trigger parameter was derived from the empirical data. A close fit was obtained between the simulated and empirical SWA data, and even the occasional late SWA peaks during extended sleep could be reproduced. Minor discrepancies suggest indirect or direct circadian influences on SWA. The simulations demonstrate that the concept of sleep homeostasis as proposed in the two-process model of sleep regulation can be refined to account in quantitative terms for empirical data and to predict the changes induced by the prolongation of waking or sleep.