认知能力与电生理连接体状态的快速动态有关。

IF 3.6 3区 医学 Q2 NEUROSCIENCES Network Neuroscience Pub Date : 2024-12-10 eCollection Date: 2024-01-01 DOI:10.1162/netn_a_00390
Suhnyoung Jun, Stephen M Malone, Thomas H Alderson, Jeremy Harper, Ruskin H Hunt, Kathleen M Thomas, Sylia Wilson, William G Iacono, Sepideh Sadaghiani
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引用次数: 0

摘要

全脑连接模式或连接组状态动态的时变变化对认知具有重要意义。然而,由于在连接组研究中固有的慢速fMRI占主导地位,因此对与认知高度相关的快速(bbb1hz)时间尺度的连接组动力学知之甚少。在此,我们利用静息状态下的源定位脑电图连接体研究了快速电生理连接体动态的行为意义(N = 926,473名女性)。我们专注于与个体差异相关的动态连接体特征,特别是那些具有既定遗传性的特征:β和γ波段的分数占用(即每个循环连接体状态的总持续时间)和θ、α、β和γ波段的转移概率(即状态切换的频率)。典型相关分析发现,亚秒连接体动力学的遗传表型与认知之间存在显著关系。具体来说,过渡概率的主成分在alpha(其次是theta和gamma波段)和代表视觉空间处理的认知因素(其次是言语和听觉工作记忆)中最显著地促成了这种关系。我们的结论是,快速的连接体状态转换塑造了个体的认知能力和特征。这种亚秒级的连接体动态可以为行为功能和功能障碍提供信息,并作为认知能力的内表型。
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Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states.

Time-varying changes in whole-brain connectivity patterns, or connectome state dynamics, hold significant implications for cognition. However, connectome dynamics at fast (>1 Hz) timescales highly relevant to cognition are poorly understood due to the dominance of inherently slow fMRI in connectome studies. Here, we investigated the behavioral significance of rapid electrophysiological connectome dynamics using source-localized EEG connectomes during resting state (N = 926, 473 females). We focused on dynamic connectome features pertinent to individual differences, specifically those with established heritability: Fractional Occupancy (i.e., the overall duration spent in each recurrent connectome state) in beta and gamma bands and Transition Probability (i.e., the frequency of state switches) in theta, alpha, beta, and gamma bands. Canonical correlation analysis found a significant relationship between the heritable phenotypes of subsecond connectome dynamics and cognition. Specifically, principal components of Transition Probabilities in alpha (followed by theta and gamma bands) and a cognitive factor representing visuospatial processing (followed by verbal and auditory working memory) most notably contributed to the relationship. We conclude that rapid connectome state transitions shape individuals' cognitive abilities and traits. Such subsecond connectome dynamics may inform about behavioral function and dysfunction and serve as endophenotypes for cognitive abilities.

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来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
期刊最新文献
Brain signaling becomes less integrated and more segregated with age. CoCoNest: A continuous structural connectivity-based nested family of parcellations of the human cerebral cortex. Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states. Contrasting topologies of synchronous and asynchronous functional brain networks. Exploring memory-related network via dorsal hippocampus suppression.
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