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Synchrony, metastability, dynamic integration, and competition in the spontaneous functional connectivity of the human brain

机译:同步,亚料性,动态集成和人类脑自发功能连通性的竞争

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摘要

The human brain is functionally organized into large-scale neural networks that are dynamically interconnected. Multiple short-lived states of resting-state functional connectivity (rsFC) identified transiently synchronized networks and cross-network integration. However, little is known about the way brain couplings covary as rsFC states wax and wane. In this magnetoencephalography study, we explore the synchronization structure among the spontaneous interactions of well-known resting-state networks (RSNs). To do so, we extracted modes of dynamic coupling that reflect rsFC synchrony and analyzed their spatio-temporal features. These modes identified transient, sporadic rsFC changes characterized by the widespread integration of RSNs across the brain, most prominently in the beta band. This is in line with the metastable rsFC state model of resting-state dynamics, wherein our modes fit as state transition processes. Furthermore, the default-mode network (DMN) stood out as being structured into competitive cross-network couplings with widespread DMN-RSN interactions, especially among the beta-band modes. These results substantiate the theory that the DMN is a core network enabling dynamic global brain integration in the beta band.
机译:人脑在功能上组织成动态互连的大规模神经网络。休息状态函数连接(RSFC)的多个短期状态识别瞬时同步网络和跨网络集成。然而,关于脑耦合Covary作为RSFC状态的方式知之甚少。在这种磁力摄影研究中,我们探讨了众所周知的休息状态网络(RSNS)的自发相互作用之间的同步结构。为此,我们提取了反映RSFC同步的动态耦合模式,并分析了它们的时空特征。这些模式识别出瞬态,零星RSFC的变化,其特征在于,RSN在大脑中的广泛集成,最突出地在Beta乐队中。这与静态状态动态的亚稳态RSFC状态模型一致,其中我们的模式适合状态转换过程。此外,默认模式网络(DMN)突出为结构化为具有广泛DMN-RSN交互的竞争性交叉网络耦合,尤其是在β带模式中。这些结果证实了DMN是核心网络,使得在Beta频段中能够动态全球大脑集成。

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