Last updated:
Author(s):
Fabrizio Pizzagalli, Guillaume Auzias, Qifan Yang, Samuel R. Mathias, Joshua Faskowitz, Joshua D. Boyd, Armand Amini, Denis Rivière, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Jean-François Mangin, David C. Glahn, John Blangero, Margaret J. Wright, Paul M. Thompson, Peter Kochunov, Neda Jahanshad
Publish date:
15 September 2020
Journal:
Communications Biology
PubMed ID:
32934300

Abstract

Cortical folds help drive the parcellation of the human cortex into functionally specific regions. Variations in the length, depth, width, and surface area of these sulcal landmarks have been associated with disease, and may be genetically mediated. Before estimating the heritability of sulcal variation, the extent to which these metrics can be reliably extracted from in-vivo MRI must be established. Using four independent test-retest datasets, we found high reliability across the brain (intraclass correlation interquartile range: 0.65-0.85). Heritability estimates were derived for three family-based cohorts using variance components analysis and pooled (total N > 3000); the overall sulcal heritability pattern was correlated to that derived for a large population cohort (N > 9000) calculated using genomic complex trait analysis. Overall, sulcal width was the most heritable metric, and earlier forming sulci showed higher heritability. The inter-hemispheric genetic correlations were high, yet select sulci showed incomplete pleiotropy, suggesting hemisphere-specific genetic influences.

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The ENIGMA Network brings together researchers in imaging genomics, to understand brain structure, function, and disease, based on brain imaging and genetic data. ENIGMA…

Institution:
University of Southern California, United States of America

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