Slow wave synchronization and sleep state transitions.
Slow wave synchronization and sleep state transitions.
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DOI：
10.1038/s41598-022-11513-0
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发表时间：
2022-05-06
影响因子：
4.6
通讯作者：
Peng, Chung-Kang
中科院分区：
文献类型：
--
作者：
Guo, Dan;Thomas, Robert J.;Liu, Yanhui;Shea, Steven A.;Lu, Jun;Peng, Chung-Kang
大网络的自发同步在自然界中无处不在，从无生命系统到生物系统。在人脑中，神经元同步和去同步发生在睡眠期间，其中在慢波睡眠（SWS）期间神经元同步的程度最大。目前的睡眠分类模式是基于脑电图，并为临床医生和研究人员提供了描述非快速眼动（NREM）睡眠以及快速眼动（REM）睡眠阶段的通用标准。这些睡眠阶段分类是基于方便的启发式标准，很少考虑这些相同睡眠阶段中伴随的正常生理变化。为了开始解决这些矛盾，首先只关注NREM睡眠，我们提出了一个简单的集群同步模型来解释没有睡眠障碍的健康人出现SWS。我们应用经验模式分解（EMD）分析来量化脑电慢波活动，并提供定量证据来支持我们的模型。基于该同步模型，NREM睡眠可以被分类为SWS和非SWS，使得NREM睡眠可以被认为是一种内在的睡眠过程。最后，我们开发了一个自动算法SWS分类。我们表明，这种新的方法可以统一脑电波动力学和相应的生理变化。
Spontaneous synchronization over large networks is ubiquitous in nature, ranging from inanimate to biological systems. In the human brain, neuronal synchronization and de-synchronization occur during sleep, with the greatest degree of neuronal synchronization during slow wave sleep (SWS). The current sleep classification schema is based on electroencephalography and provides common criteria for clinicians and researchers to describe stages of non-rapid eye movement (NREM) sleep as well as rapid eye movement (REM) sleep. These sleep stage classifications have been based on convenient heuristic criteria, with little consideration of the accompanying normal physiological changes across those same sleep stages. To begin to resolve those inconsistencies, first focusing only on NREM sleep, we propose a simple cluster synchronization model to explain the emergence of SWS in healthy people without sleep disorders. We apply the empirical mode decomposition (EMD) analysis to quantify slow wave activity in electroencephalograms, and provide quantitative evidence to support our model. Based on this synchronization model, NREM sleep can be classified as SWS and non-SWS, such that NREM sleep can be considered as an intrinsically bistable process. Finally, we develop an automated algorithm for SWS classification. We show that this new approach can unify brain wave dynamics and their corresponding physiologic changes.
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