TY - JOUR
T1 - The heritability of multi-modal connectivity in human brain activity
AU - Colclough, Giles L.
AU - Smith, Stephen M.
AU - Nichols, Thomas E.
AU - Winkler, Anderson M.
AU - Sotiropoulos, Stamatios N.
AU - Glasser, Matthew F.
AU - Van Essen, David C.
AU - Woolrich, Mark W.
N1 - Funding Information:
The authors would like to thank Matthew Brookes and Andrew Quinn for helpful discussions, and Paul McCarthy for his assistance in creating figures. Functional MRI and MEG data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. GLC is funded by the Research Councils UK Digital Economy Programme (EP/G036861/1, Centre for Doctoral Training in Healthcare Innovation); SMS by a Wellcome Trust Strategic Award (098369/Z/12/Z); TEN by the Wellcome Trust (100309/Z/12/Z) and the NIH (R01EB015611-01); AMW by the National Research Council of Brazil (CNPq, 211534/2013-7); SNS by the UK Engineering and Physical Sciences Research Council (EP/L023067); MFG by an NRSA fellowship (F30-MH097312, NIH); DCVE by the NIH (1U54MH091657); and MWW by the Wellcome Trust (106183/Z/14/Z) and the MRC UK MEG Partnership Grant (MR/K005464/1). This research was supported by the NIHR Oxford Biomedical Research Centre. The Wellcome Centre for Integrative Neu-roimaging is supported by core funding from the Wellcome Trust (203139/Z/16/Z).
Publisher Copyright:
© Colclough et al.
PY - 2017/7/26
Y1 - 2017/7/26
N2 - 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 among 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, have the dominant role in determining the coupling of neuronal activity.
AB - 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 among 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, have the dominant role in determining the coupling of neuronal activity.
UR - http://www.scopus.com/inward/record.url?scp=85030649292&partnerID=8YFLogxK
U2 - 10.7554/eLife.20178
DO - 10.7554/eLife.20178
M3 - Article
C2 - 28745584
AN - SCOPUS:85030649292
SN - 2050-084X
VL - 6
JO - eLife
JF - eLife
M1 - e20178
ER -