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.

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., Van Essen, D. C., & 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
• Contract Date: Jul 27, 2017