The reliability and heritability of cortical folds and their genetic correlations across hemispheres
Mathias, Samuel R
Boyd, Joshua D
McMahon, Katie L
de Zubicaray, Greig I
Martin, Nicholas G
Glahn, David C
Wright, Margaret J
Thompson, Paul M
MetadataShow full item record
AbstractCortical 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.
Identifier to cite or link to this itemhttp://hdl.handle.net/10713/13788
- Spatial distribution of deep sulcal landmarks and hemispherical asymmetry on the cortical surface.
- Authors: Im K, Jo HJ, Mangin JF, Evans AC, Kim SI, Lee JM
- Issue date: 2010 Mar
- Automated sulcal segmentation using watersheds on the cortical surface.
- Authors: Rettmann ME, Han X, Xu C, Prince JL
- Issue date: 2002 Feb
- Test-retest reliability and sample size estimates after MRI scanner relocation.
- Authors: Melzer TR, Keenan RJ, Leeper GJ, Kingston-Smith S, Felton SA, Green SK, Henderson KJ, Palmer NJ, Shoorangiz R, Almuqbel MM, Myall DJ
- Issue date: 2020 May 1
- Sulcal variability of twins.
- Authors: Lohmann G, von Cramon DY, Steinmetz H
- Issue date: 1999 Oct-Nov
- A comparison of heritability maps of cortical surface area and thickness and the influence of adjustment for whole brain measures: a magnetic resonance imaging twin study.
- Authors: Eyler LT, Chen CH, Panizzon MS, Fennema-Notestine C, Neale MC, Jak A, Jernigan TL, Fischl B, Franz CE, Lyons MJ, Grant M, Prom-Wormley E, Seidman LJ, Tsuang MT, Fiecas MJ, Dale AM, Kremen WS
- Issue date: 2012 Jun