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首页> 外文期刊>Journal of Neurophysiology >Mathematical model of network dynamics governing mouse sleep-wake behavior.
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Mathematical model of network dynamics governing mouse sleep-wake behavior.

机译：网络动力学控制鼠标睡眠-唤醒行为的数学模型。

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Recent work in experimental neurophysiology has identified distinct neuronal populations in the rodent brain stem and hypothalamus that selectively promote wake and sleep. Mutual inhibition between these cell groups has suggested the conceptual model of a sleep-wake switch that controls transitions between wake and sleep while minimizing time spent in intermediate states. By combining wake- and sleep-active populations with populations governing transitions between different stages of sleep, a "sleep-wake network" of neuronal populations may be defined. To better understand the dynamics inherent in this network, we created a model sleep-wake network composed of coupled relaxation oscillation equations. Mathematical analysis of the deterministic model provides insight into the dynamics underlying state transitions and predicts mechanisms for each transition type. With the addition of noise, the simulated sleep-wake behavior generated by the model reproduces many qualitative and quantitative features of mouse sleep-wake behavior. In particular, the existence of simulated brief awakenings is a unique feature of the model. In addition to capturing the experimentally observed qualitative difference between brief and sustained wake bouts, the model suggests distinct network mechanisms for the two types of wakefulness. Because circadian and other factors alter the fine architecture of sleep-wake behavior, this model provides a novel framework to explore dynamical principles that may underlie normal and pathologic sleep-wake physiology.
机译：在实验神经生理学方面的最新研究发现，在啮齿动物脑干和下丘脑中有明显的神经元种群可以选择性地促进苏醒和睡眠。这些细胞群之间的相互抑制已经提出了一种睡眠-觉醒开关的概念模型，该模型可以控制觉醒和睡眠之间的过渡，同时将在中间状态下花费的时间降至最低。通过将唤醒和睡眠活跃的群体与控制睡眠不同阶段之间的过渡的群体相结合，可以定义神经元群体的“睡眠-唤醒网络”。为了更好地了解该网络固有的动力学特性，我们创建了一个由耦合张弛振荡方程组成的模型模型。确定性模型的数学分析提供了对状态转换基础的动力学的深入了解，并预测了每种转换类型的机制。除噪声外，该模型生成的模拟睡眠-觉醒行为可重现鼠标睡眠-觉醒行为的许多定性和定量特征。特别是，模拟短暂唤醒的存在是该模型的独特功能。除了捕获实验观察到的短暂和持续唤醒之间的质量差异外，该模型还为两种类型的唤醒提供了独特的网络机制。由于昼夜节律和其他因素会改变睡眠-觉醒行为的精细结构，因此该模型提供了一个新颖的框架来探讨可能是正常和病理性睡眠-觉醒生理学基础的动力学原理。

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