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The heritability of multi-modal connectivity in human brain activity

Colclough, Giles L.; Smith, Stephen M.; Nichols, Tom E.; Winkler, Anderson M.; Sotiropoulos, Stamatios N.; Glasser, Matthew F.; Van Essen, David C.; Woolrich, Mark W.

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Authors

Giles L. Colclough

Stephen M. Smith

Tom E. Nichols

Anderson M. Winkler

Matthew F. Glasser

David C. Van Essen

Mark W. Woolrich



Abstract

Patterns of intrinsic human brain activity exhibit a profile of functional connectivity that is associated with behaviour and cognitive performance, and deteriorates with disease. This paper investigates the relative importance of genetic factors and the common environment between twins in determining this functional connectivity profile. Using functional magnetic resonance imaging (fMRI) on 820 subjects from the Human Connectome Project, and magnetoencephalographic (MEG) recordings from a subset, the heritability of connectivity between 39 cortical regions was estimated. On average over all connections, genes account for about 15% of the observed variance in fMRI connectivity (and about 10% in alpha-band and 20% in beta-band oscillatory power synchronisation), which substantially exceeds the contribution from the environment shared between twins. Therefore, insofar as twins share a common upbringing, it appears that genes, rather than the developmental environment, play a dominant role in determining the coupling of neuronal activity.

Citation

Colclough, G. L., Smith, S. M., Nichols, T. E., Winkler, A. M., Sotiropoulos, S. N., Glasser, M. F., …Woolrich, M. W. (in press). The heritability of multi-modal connectivity in human brain activity. eLife, 6, Article e20178. https://doi.org/10.7554/eLife.20178

Journal Article Type Article
Acceptance Date Jul 13, 2017
Online Publication Date Jul 26, 2017
Deposit Date Jul 27, 2017
Publicly Available Date Jul 27, 2017
Journal eLife
Electronic ISSN 2050-084X
Publisher eLife Sciences Publications
Peer Reviewed Peer Reviewed
Volume 6
Article Number e20178
DOI https://doi.org/10.7554/eLife.20178
Public URL https://nottingham-repository.worktribe.com/output/874439
Publisher URL https://elifesciences.org/articles/20178

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