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Rapid dynamics of electrophysiological connectome states are heritable.
Jun, Suhnyoung; Malone, Stephen M; Iacono, William G; Harper, Jeremy; Wilson, Sylia; Sadaghiani, Sepideh.
Affiliation
  • Jun S; Psychology Department, University of Illinois at Urbana-Champaign.
  • Malone SM; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign.
  • Iacono WG; Department of Psychology, University of Minnesota, Minneapolis, Minnesota.
  • Harper J; Department of Psychology, University of Minnesota, Minneapolis, Minnesota.
  • Wilson S; Department of Psychology, University of Minnesota, Minneapolis, Minnesota.
  • Sadaghiani S; Institute of Child Development, University of Minnesota, Twin Cities, USA.
bioRxiv ; 2024 Jan 27.
Article in En | MEDLINE | ID: mdl-38293031
ABSTRACT
Time-varying changes in whole-brain connectivity patterns, or connectome state dynamics, are a prominent feature of brain activity with broad functional implications. While infra-slow (<0.1Hz) 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 (N=928, 473 females), we quantified heritability of multivariate (multi-state) features describing temporal or spatial characteristics of connectome dynamics. States switched rapidly every ~60-500ms. 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 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 heritability of spatial features, specifically states' Modularity and connectivity pattern. We conclude that genetic effects strongly shape individuals' connectome dynamics at rapid timescales, specifically states' overall occurrence and sequencing.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: BioRxiv Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: BioRxiv Year: 2024 Document type: Article