Interactive mathematical models of subjective alertness and cognitive throughput in humans
Interactive mathematical models of subjective alertness and cognitive throughput in humans
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DOI：
10.1177/074873099129000920
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发表时间：
1999-12-01
影响因子：
3.5
通讯作者：
Kronauer, RE
中科院分区：
文献类型：
--
作者：
Jewett, ME;Kronauer, RE
作者在这里提出的数学模型中，主观警觉性和认知吞吐量的水平预测的三个组成部分，相互作用的非线性方式。这些分量是（1）稳态分量（H），其在清醒期间以S形方式福尔斯，并且在睡眠期间以由昼夜节律相位确定的速率以饱和指数方式上升;（2）昼夜节律分量（C），其是光对昼夜节律起搏器的影响的我们的数学模型的输出的函数，其幅度进一步由H的水平调节;以及（3）睡眠惯性分量（W），其在唤醒时间之后以饱和指数方式上升。作者首先根据睡眠惯性研究的结果构建了主观警觉性和认知吞吐量的初始模型，睡眠剥夺研究在所有昼夜节律阶段启动，28小时强迫睡眠研究，以及警觉性和性能剂量反应曲线睡眠。这些初始模型，然后使用近150个30至50小时的睡眠剥夺研究中，受试者在他们的习惯时间醒来的数据进行完善。本文提出的交互式三分量模型能够预测来自睡眠剥夺研究的神经行为数据的细节，并且在进一步验证后，可以为安全轮班工作和旅行时间表的设计提供强大的工具，包括人们暴露于不寻常的光线模式的设计。
The authors present here mathematical models in which levels of subjective alertness and cognitive throughput are predicted by three components that interact with one another in a nonlinear manner. These components are (1) a homeostatic component (H) that falls in a sigmoidal manner during wake and rises in a saturating exponential manner at a rate that is determined by circadian phase during sleep; (2) a circadian component (C) that is a function of the output of our mathematical model of the effect of Light on the circadian pacemaker, with the amplitude further regulated by the level of H; and (3) a sleep inertia component (W) that rises in a saturating exponential manner after waketime. The authors first construct initial models of subjective alertness and cognitive throughput based on the results of sleep inertia studies, sleep deprivation studies initiated across all circadian phases, 28-h forced desynchrony studies, and alertness and performance dose response curves to sleep. These initial models are then refined using data from nearly one hundred fifty 30- to 50-h sleep deprivation studies in which subjects woke at their habitual times. The interactive three-component models presented here are able to predict even the fine details of neurobehavioral data from sleep deprivation studies and, after further validation, may provide a powerful tool for the design of safe shift work and travel schedules, including those in which people are exposed to unusual patterns of light.