The reliability and heritability of cortical folds and their genetic correlations across hemispheres
Year: 2020
Type: article
Study design: Observational Study
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.
Source: Communications Biology
Authors: 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
Institutions: University of Southern California, Centre National de la Recherche Scientifique, Aix-Marseille Université, Institut de Neurosciences de la Timone, Boston Children's Hospital, Harvard University, Yale University, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, Centre d'Acquisition et de Traitement des Images, Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields, Queensland University of Technology, QIMR Berghofer Medical Research Institute, The University of Texas Rio Grande Valley, The University of Queensland, University of Maryland, Baltimore
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,290
Funders: European Commission, National Institutes of Health, McDonnell Center for Systems Neuroscience, Horizon 2020 Framework Programme, National Health and Medical Research Council, National Institute on Aging, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, NIH Blueprint for Neuroscience Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Resource Development for the Java Image Science Toolkit, G1550945203, G1791322497, Mapping Abnormal Neurodevelopment in Schizophrenia, 1/2 Genetics of Brain Structure and Function, G1989012703, Functional-anatomic exploration of cognitive control, G2346749113, G2392088378, Resource for Quantitative Functional MRI, Genetic influences on the brain: A twin imaging study, G2645940334, ENIGMA-COINSTAC: Advanced Worldwide Transdiagnostic Analysis of Valence System Brain Circuit, Morphometry Biomedical Informatics Research Network, G3182491312, G3239377387, Mapping the Human Connectome: Structure, Function, and Heritability, G3631106536, Automatic Cerebellar MRI Labeling In Health and Disease, An Interactive Web-Based Game for Collaborative Labeling of Medical Images, G3848525072, G3907386461, Human Brain Project Specific Grant Agreement 1, G4014141827, G4175096997, G434337789, 2/2 Genetics of Brain Structure and Function, G4896177567, G4924848924, G504653361, G5193558347, G5206879227, G5520316217, Human Brain Project Specific Grant Agreement 2, G5850931412, Genetics of Brain Structure and Function: Genome-Wide Association, G5938296382, ENIGMA Center for Worldwide Medicine, Imaging & Genomics, G6389824285, G6607577419, Solar-Eclipse Computational Tools for Imaging Genetics, Alzheimer's Disease Research Center, Healthy Aging and Senile Dementia, Hybrid GPU/CPU Computing Resource to Support Connectomic and Genomics, G7239431997, G7972465970, High resolution mapping of the genetic risk for disease in the aging brain, G8185077033, Laboratory of Neuro Imaging Resource (LONIR), G8279477869, G8299918676, A global alliance to unlock brain mechanisms influencing suicidal behaviors through the ENIGMA Consortium, G9000008536, G9000089182, G9000210308, Alzheimer's Disease Research Center, Antecedent Biomarkers for Alzheimer Disease: The Adult Children Study
OpenAlex ID: W3087552014