Bröhl Timo, von Wrede Randi, Lehnertz Klaus
Department of Epileptology, University of Bonn Medical Center, Bonn, Germany.
Helmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Bonn, Germany.
Front Netw Physiol. 2023 Aug 29;3:1237004. doi: 10.3389/fnetp.2023.1237004. eCollection 2023.
Biological rhythms are natural, endogenous cycles with period lengths ranging from less than 24 h (ultradian rhythms) to more than 24 h (infradian rhythms). The impact of the circadian rhythm (approximately 24 h) and ultradian rhythms on spectral characteristics of electroencephalographic (EEG) signals has been investigated for more than half a century. Yet, only little is known on how biological rhythms influence the properties of EEG-derived evolving functional brain networks. Here, we derive such networks from multiday, multichannel EEG recordings and use different centrality concepts to assess the time-varying importance hierarchy of the networks' vertices and edges as well as the various aspects of their structural integration in the network. We observe strong circadian and ultradian influences that highlight distinct subnetworks in the evolving functional brain networks. Our findings indicate the existence of a vital and fundamental subnetwork that is rather generally involved in ongoing brain activities during wakefulness and sleep.
生物节律是自然的内源性周期,其周期长度从不到24小时(超日节律)到超过24小时(亚日节律)不等。昼夜节律(约24小时)和超日节律对脑电图(EEG)信号频谱特征的影响已被研究了半个多世纪。然而,关于生物节律如何影响源自EEG的不断演变的功能性脑网络的特性,我们所知甚少。在这里,我们从多天、多通道EEG记录中推导此类网络,并使用不同的中心性概念来评估网络顶点和边的时变重要性层次结构,以及它们在网络中结构整合的各个方面。我们观察到强烈的昼夜节律和超日节律影响,这些影响突出了不断演变的功能性脑网络中的不同子网。我们的研究结果表明存在一个至关重要且基本的子网,该子网通常参与清醒和睡眠期间正在进行的大脑活动。