Jun Suhnyoung, Alderson Thomas H, Malone Stephen M, Harper Jeremy, Hunt Ruskin H, Thomas Kathleen M, Iacono William G, Wilson Sylia, 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):1065-1088. doi: 10.1162/netn_a_00391. eCollection 2024.
Time-varying changes in whole-brain connectivity patterns, or connectome state dynamics, are a prominent feature of brain activity with broad functional implications. While infraslow (<0.1 Hz) connectome dynamics have been extensively studied with fMRI, rapid dynamics highly relevant for cognition are poorly understood. Here, we asked whether rapid electrophysiological connectome dynamics constitute subject-specific brain traits and to what extent they are under genetic influence. Using source-localized EEG connectomes during resting state ( = 928, 473 females), we quantified the heritability of multivariate (multistate) features describing temporal or spatial characteristics of connectome dynamics. States switched rapidly every ∼60-500 ms. Temporal features were heritable, particularly Fractional Occupancy (in theta, alpha, beta, and gamma bands) and Transition Probability (in theta, alpha, and gamma bands), representing the duration spent in each state and the frequency of state switches, respectively. Genetic effects explained a substantial proportion of the phenotypic variance of these features: Fractional Occupancy in beta (44.3%) and gamma (39.8%) bands and Transition Probability in theta (38.4%), alpha (63.3%), beta (22.6%), and gamma (40%) bands. However, we found no evidence for the heritability of dynamic spatial features, specifically states' Modularity and connectivity pattern. We conclude that genetic effects shape individuals' connectome dynamics at rapid timescales, specifically states' overall occurrence and sequencing.
全脑连接模式的时变变化，即连接组状态动力学，是大脑活动的一个显著特征，具有广泛的功能意义。虽然超低频（<0.1Hz）连接组动力学已通过功能磁共振成像进行了广泛研究，但与认知高度相关的快速动力学却知之甚少。在这里，我们探讨了快速电生理连接组动力学是否构成个体特异性的大脑特征，以及它们在多大程度上受遗传影响。利用静息状态下源定位脑电图连接组（n = 928，473名女性），我们量化了描述连接组动力学时间或空间特征的多变量（多状态）特征的遗传力。状态每60 - 500毫秒快速切换一次。时间特征具有遗传性，特别是分数占有率（在θ、α、β和γ频段）和转移概率（在θ、α和γ频段），分别代表在每个状态下花费的持续时间和状态切换频率。遗传效应解释了这些特征表型变异的很大一部分：β（44.3%）和γ（39.8%）频段的分数占有率以及θ（38.4%）、α（63.3%）、β（22.6%）和γ（40%）频段的转移概率。然而，我们没有发现动态空间特征（特别是状态的模块化和连接模式）具有遗传性的证据。我们得出结论，遗传效应在快速时间尺度上塑造个体的连接组动力学，特别是状态的总体出现和序列。
