Jun Suhnyoung, Malone Stephen M, Alderson Thomas H, Harper Jeremy, Hunt Ruskin H, Thomas Kathleen M, Wilson Sylia, Iacono William G, Sadaghiani Sepideh
Department of Psychology, University of Illinois Urbana-Champaign, Champaign, IL, USA.
Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Champaign, IL, USA.
Netw Neurosci. 2024 Dec 10;8(4):1089-1104. doi: 10.1162/netn_a_00390. eCollection 2024.
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 ( = 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.
全脑连接模式的时变变化，即连接组状态动力学，对认知具有重要意义。然而，由于在连接组研究中固有缓慢的功能磁共振成像占主导地位，与认知高度相关的快速（>1Hz）时间尺度上的连接组动力学仍知之甚少。在此，我们使用静息状态下源定位脑电图连接组（n = 926，473名女性）研究了快速电生理连接组动力学的行为意义。我们关注与个体差异相关的动态连接组特征，特别是那些具有既定遗传力的特征：β和γ波段的分数占有率（即每个循环连接组状态所花费的总时长）以及θ、α、β和γ波段的转移概率（即状态切换频率）。典型相关分析发现，亚秒级连接组动力学的可遗传表型与认知之间存在显著关系。具体而言，α波段（其次是θ和γ波段）的转移概率主成分以及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）对这种关系的贡献最为显著。我们得出结论，快速的连接组状态转换塑造了个体的认知能力和特质。这种亚秒级连接组动力学可能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。
