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一种理解神经元调控觉醒-NREMS-REMS 状态机制的数学模型。

A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.

机构信息

School of Life Sciences, Jawaharlal Nehru University, New Delhi, India.

出版信息

PLoS One. 2012;7(8):e42059. doi: 10.1371/journal.pone.0042059. Epub 2012 Aug 8.

Abstract

In this study we have constructed a mathematical model of a recently proposed functional model known to be responsible for inducing waking, NREMS and REMS. Simulation studies using this model reproduced sleep-wake patterns as reported in normal animals. The model helps to explain neural mechanism(s) that underlie the transitions between wake, NREMS and REMS as well as how both the homeostatic sleep-drive and the circadian rhythm shape the duration of each of these episodes. In particular, this mathematical model demonstrates and confirms that an underlying mechanism for REMS generation is pre-synaptic inhibition from substantia nigra onto the REM-off terminals that project on REM-on neurons, as has been recently proposed. The importance of orexinergic neurons in stabilizing the wake-sleep cycle is demonstrated by showing how even small changes in inputs to or from those neurons can have a large impact on the ensuing dynamics. The results from this model allow us to make predictions of the neural mechanisms of regulation and patho-physiology of REMS.

摘要

在这项研究中,我们构建了一个最近提出的功能模型的数学模型,该模型被认为负责诱导觉醒、非快速眼动睡眠(NREMS)和快速眼动睡眠(REMS)。使用该模型进行的模拟研究再现了正常动物中报告的睡眠-觉醒模式。该模型有助于解释睡眠-觉醒状态转换背后的神经机制,以及稳态睡眠驱动力和昼夜节律如何影响每个这些状态的持续时间。特别是,这个数学模型证明并证实了,快速眼动睡眠(REMS)生成的一个潜在机制是来自黑质的突触前抑制作用到投射到 REM-on 神经元的 REM-off 神经元终端上,这与最近的研究结果一致。通过显示来自或进入这些神经元的输入的微小变化如何对后续的动力学产生重大影响,证明了食欲素能神经元在稳定睡眠-觉醒周期中的重要性。该模型的结果使我们能够对调节和快速眼动睡眠(REMS)的病理生理学的神经机制做出预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/3414531/8522ae4649dd/pone.0042059.g001.jpg

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