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脑网络交互的动态基元。

Dynamic primitives of brain network interaction.

机构信息

Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin 10117, Germany; Department of Neurology with Experimental Neurology, Charité, Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, Berlin 10117, Germany; Bernstein Focus State Dependencies of Learning and Bernstein Center for Computational Neuroscience, Berlin, Germany; Einstein Center for Neuroscience Berlin, Charitéplatz 1, Berlin 10117, Germany; Einstein Center Digital Future, Wilhelmstraße 67, Berlin 10117, Germany.

Department of Electrical and Computer Engineering, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance Research, Singapore; N.1 Institute for Health and Institute for Digital Medicine, National University of Singapore, Singapore.

出版信息

Neuroimage. 2022 Apr 15;250:118928. doi: 10.1016/j.neuroimage.2022.118928. Epub 2022 Jan 29.

Abstract

What dynamic processes underly functional brain networks? Functional connectivity (FC) and functional connectivity dynamics (FCD) are used to represent the patterns and dynamics of functional brain networks. FC(D) is related to the synchrony of brain activity: when brain areas oscillate in a coordinated manner this yields a high correlation between their signal time series. To explain the processes underlying FC(D) we review how synchronized oscillations emerge from coupled neural populations in brain network models (BNMs). From detailed spiking networks to more abstract population models, there is strong support for the idea that the brain operates near critical instabilities that give rise to multistable or metastable dynamics that in turn lead to the intermittently synchronized slow oscillations underlying FC(D). We explore further consequences from these fundamental mechanisms and how they fit with reality. We conclude by highlighting the need for integrative brain models that connect separate mechanisms across levels of description and spatiotemporal scales and link them with cognitive function.

摘要

功能大脑网络的背后有哪些动态过程?功能连接(FC)和功能连接动力学(FCD)用于表示功能大脑网络的模式和动态。FC(D)与大脑活动的同步性有关:当大脑区域以协调的方式振荡时,它们的信号时间序列之间会产生高度相关性。为了解释 FC(D)背后的过程,我们回顾了大脑网络模型(BNMs)中耦合神经元群体如何产生同步振荡。从详细的尖峰网络到更抽象的群体模型,有强有力的证据表明,大脑在接近临界不稳定性的情况下运行,这种不稳定性产生多稳定或亚稳定动力学,进而导致 FC(D) 背后间歇性同步的缓慢振荡。我们进一步探讨了这些基本机制的后果,以及它们如何与现实相吻合。最后,我们强调需要整合大脑模型,将不同层次的描述和时空尺度的分离机制连接起来,并将它们与认知功能联系起来。

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