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Mathematical Models for Sleep-Wake Dynamics: Comparison of the Two-Process Model and a Mutual Inhibition Neuronal Model

机译:睡眠-觉醒动力学的数学模型:两过程模型和相互抑制神经元模型的比较

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摘要

Sleep is essential for the maintenance of the brain and the body, yet many features of sleep are poorly understood and mathematical models are an important tool for probing proposed biological mechanisms. The most well-known mathematical model of sleep regulation, the two-process model, models the sleep-wake cycle by two oscillators: a circadian oscillator and a homeostatic oscillator. An alternative, more recent, model considers the mutual inhibition of sleep promoting neurons and the ascending arousal system regulated by homeostatic and circadian processes. Here we show there are fundamental similarities between these two models. The implications are illustrated with two important sleep-wake phenomena. Firstly, we show that in the two-process model, transitions between different numbers of daily sleep episodes can be classified as grazing bifurcations. This provides the theoretical underpinning for numerical results showing that the sleep patterns of many mammals can be explained by the mutual inhibition model. Secondly, we show that when sleep deprivation disrupts the sleep-wake cycle, ostensibly different measures of sleepiness in the two models are closely related. The demonstration of the mathematical similarities of the two models is valuable because not only does it allow some features of the two-process model to be interpreted physiologically but it also means that knowledge gained from study of the two-process model can be used to inform understanding of the behaviour of the mutual inhibition model. This is important because the mutual inhibition model and its extensions are increasingly being used as a tool to understand a diverse range of sleep-wake phenomena such as the design of optimal shift-patterns, yet the values it uses for parameters associated with the circadian and homeostatic processes are very different from those that have been experimentally measured in the context of the two-process model.
机译:睡眠对于维持大脑和身体至关重要,但人们对睡眠的许多特征知之甚少,数学模型是探究提议的生物学机制的重要工具。睡眠调节的最著名数学模型(两过程模型)通过两个振荡器(昼夜节律振荡器和稳态振荡器)对睡眠-唤醒周期进行建模。最近的另一种模型考虑了睡眠抑制神经元和受稳态和昼夜节律过程调节的上升唤醒系统的相互抑制。在这里,我们显示了这两个模型之间的基本相似之处。通过两个重要的睡眠-唤醒现象说明了这种含义。首先,我们表明,在两过程模型中,每天睡眠次数不同之间的过渡可以归为放牧分叉。这为数值结果提供了理论基础,数值结果表明许多哺乳动物的睡眠模式可以通过相互抑制模型来解释。其次,我们表明,当睡眠剥夺破坏睡眠-觉醒周期时,两个模型中表面上不同的嗜睡量度密切相关。两种模型的数学相似性的证明是有价值的,因为它不仅可以从生理上解释两步模型的某些特征,而且还意味着从两步模型的研究中获得的知识可用于提供信息。了解相互抑制模型的行为。这一点很重要,因为相互抑制模型及其扩展正越来越多地用作了解各种睡眠-觉醒现象的工具,例如最佳移位模式的设计,但其值用于与昼夜节律相关的参数。稳态过程与在两过程模型中通过实验测量的过程非常不同。

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