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Dynamic trajectories of connectome state transitions are heritable
The brain’s functional connectome is dynamic, constantly reconfiguring in an individual-specific manner. However, which characteristics of such reconfigurations are subject to genetic effects, and to what extent, is largely unknown. Here, we identified heritable dynamic features, quantified their he...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223440/ https://www.ncbi.nlm.nih.gov/pubmed/35504564 http://dx.doi.org/10.1016/j.neuroimage.2022.119274 |
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author | Jun, Suhnyoung Alderson, Thomas H. Altmann, Andre Sadaghiani, Sepideh |
author_facet | Jun, Suhnyoung Alderson, Thomas H. Altmann, Andre Sadaghiani, Sepideh |
author_sort | Jun, Suhnyoung |
collection | PubMed |
description | The brain’s functional connectome is dynamic, constantly reconfiguring in an individual-specific manner. However, which characteristics of such reconfigurations are subject to genetic effects, and to what extent, is largely unknown. Here, we identified heritable dynamic features, quantified their heritability, and determined their association with cognitive phenotypes. In resting-state fMRI, we obtained multivariate features, each describing a temporal or spatial characteristic of connectome dynamics jointly over a set of connectome states. We found strong evidence for heritability of temporal features, particularly, Fractional Occupancy (FO) and Transition Probability (TP), representing the duration spent in each connectivity configuration and the frequency of shifting between configurations, respectively. These effects were robust against methodological choices of number of states and global signal regression. Genetic effects explained a substantial proportion of phenotypic variance of these features (h(2) = 0.39, 95% CI = [.24,.54] for FO; h(2) = 0. 43, 95% CI = [.29,.57] for TP). Moreover, these temporal phenotypes were associated with cognitive performance. Contrarily, we found no robust evidence for heritability of spatial features of the dynamic states (i.e., states’ Modularity and connectivity pattern). Genetic effects may therefore primarily contribute to how the connectome transitions across states, rather than the precise spatial instantiation of the states in individuals. In sum, genetic effects impact the dynamic trajectory of state transitions (captured by FO and TP), and such temporal features may act as endophenotypes for cognitive abilities. |
format | Online Article Text |
id | pubmed-9223440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-92234402022-08-01 Dynamic trajectories of connectome state transitions are heritable Jun, Suhnyoung Alderson, Thomas H. Altmann, Andre Sadaghiani, Sepideh Neuroimage Article The brain’s functional connectome is dynamic, constantly reconfiguring in an individual-specific manner. However, which characteristics of such reconfigurations are subject to genetic effects, and to what extent, is largely unknown. Here, we identified heritable dynamic features, quantified their heritability, and determined their association with cognitive phenotypes. In resting-state fMRI, we obtained multivariate features, each describing a temporal or spatial characteristic of connectome dynamics jointly over a set of connectome states. We found strong evidence for heritability of temporal features, particularly, Fractional Occupancy (FO) and Transition Probability (TP), representing the duration spent in each connectivity configuration and the frequency of shifting between configurations, respectively. These effects were robust against methodological choices of number of states and global signal regression. Genetic effects explained a substantial proportion of phenotypic variance of these features (h(2) = 0.39, 95% CI = [.24,.54] for FO; h(2) = 0. 43, 95% CI = [.29,.57] for TP). Moreover, these temporal phenotypes were associated with cognitive performance. Contrarily, we found no robust evidence for heritability of spatial features of the dynamic states (i.e., states’ Modularity and connectivity pattern). Genetic effects may therefore primarily contribute to how the connectome transitions across states, rather than the precise spatial instantiation of the states in individuals. In sum, genetic effects impact the dynamic trajectory of state transitions (captured by FO and TP), and such temporal features may act as endophenotypes for cognitive abilities. 2022-08-01 2022-04-30 /pmc/articles/PMC9223440/ /pubmed/35504564 http://dx.doi.org/10.1016/j.neuroimage.2022.119274 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Article Jun, Suhnyoung Alderson, Thomas H. Altmann, Andre Sadaghiani, Sepideh Dynamic trajectories of connectome state transitions are heritable |
title | Dynamic trajectories of connectome state transitions are heritable |
title_full | Dynamic trajectories of connectome state transitions are heritable |
title_fullStr | Dynamic trajectories of connectome state transitions are heritable |
title_full_unstemmed | Dynamic trajectories of connectome state transitions are heritable |
title_short | Dynamic trajectories of connectome state transitions are heritable |
title_sort | dynamic trajectories of connectome state transitions are heritable |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223440/ https://www.ncbi.nlm.nih.gov/pubmed/35504564 http://dx.doi.org/10.1016/j.neuroimage.2022.119274 |
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