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静息、清醒和睡眠状态下大脑的功能重要支柱。

Functional Importance Backbones of the Brain at Rest, Wakefulness, and Sleep.

作者信息

Lehnertz Klaus, Bröhl Timo

机构信息

Department of Epileptology, University of Bonn Medical Centre, Venusberg Campus 1, 53127 Bonn, Germany.

Helmholtz-Institute for Radiation and Nuclear Physics, University of Bonn, Nussallee 14-16, 53115 Bonn, Germany.

出版信息

Brain Sci. 2025 Jul 20;15(7):772. doi: 10.3390/brainsci15070772.

Abstract

: The brain is never truly at rest. Even in the absence of external tasks, it remains active, continuously organizing itself into large-scale resting-state networks involved in shaping our internal thoughts and experiences. Understanding the networks' structure and dynamics is key to uncovering how the brain functions as a whole. While previous studies have mapped resting-state networks and explored the roles of individual brain regions (network vertices), the relevance of the time-dependent functional interactions (network edges) between them remains largely unexplored. : Here, we assess this relevance by elucidating the time-evolving importance of both brain regions and their interactions, associated with the networks' constituents, using the fundamental concept of centrality. We investigate long-term electrophysiological recordings of brain dynamics from more than 100 participants and reveal new insights into how resting-state networks are organized over longer times. : Our findings reveal that the functional architecture of brain networks in a resting state is critically shaped by the dynamic interplay between brain regions. We identified functional importance backbones-core sets of dynamically central vertices and edges-whose configuration varies significantly between subgroups and further varies with different brain states, including wakefulness and sleep. Notably, regions associated with the default mode network exhibited adaptable patterns of centrality, challenging the notion of static network cores. : By considering the temporal evolution of both vertices and edges, we provide a more comprehensive understanding of intrinsic brain activity and its functional relevance. This dynamic perspective reveals how the brain's intrinsic activity is coordinated across space and time, highlighting the existence of functional importance backbones that adapt to different brain states.

摘要

大脑从未真正处于休息状态。即使在没有外部任务的情况下,它仍保持活跃,不断将自身组织成大规模的静息态网络,这些网络参与塑造我们的内在思想和体验。理解这些网络的结构和动态是揭示大脑作为一个整体如何运作的关键。虽然先前的研究已经绘制了静息态网络并探索了各个脑区(网络顶点)的作用,但它们之间随时间变化的功能相互作用(网络边)的相关性在很大程度上仍未得到探索。

在这里,我们通过使用中心性的基本概念来阐明与网络组成部分相关的脑区及其相互作用随时间演变的重要性,从而评估这种相关性。我们研究了来自100多名参与者的大脑动态的长期电生理记录,并揭示了关于静息态网络在更长时间段内如何组织的新见解。

我们的研究结果表明,静息状态下脑网络的功能架构由脑区之间的动态相互作用关键塑造。我们确定了功能重要性骨干——动态中心顶点和边的核心集合——其配置在亚组之间有显著差异,并随不同脑状态(包括清醒和睡眠)进一步变化。值得注意的是,与默认模式网络相关的区域表现出适应性的中心性模式,挑战了静态网络核心的概念。

通过考虑顶点和边的时间演变,我们对大脑的内在活动及其功能相关性提供了更全面的理解。这种动态视角揭示了大脑的内在活动如何在空间和时间上进行协调,突出了适应不同脑状态的功能重要性骨干的存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a64/12293408/db604108d911/brainsci-15-00772-g0A1.jpg

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