Subtly altered topological asymmetry of brain structural covariance networks in autism spectrum disorder across 43 datasets from the ENIGMA consortium
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Published:2022-02-08
Issue:4
Volume:27
Page:2114-2125
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ISSN:1359-4184
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Container-title:Molecular Psychiatry
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language:en
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Short-container-title:Mol Psychiatry
Author:
Sha ZhiqiangORCID, van Rooij Daan, Anagnostou Evdokia, Arango CelsoORCID, Auzias Guillaume, Behrmann Marlene, Bernhardt BorisORCID, Bolte SvenORCID, Busatto Geraldo F., Calderoni Sara, Calvo RosaORCID, Daly EileenORCID, Deruelle Christine, Duan Meiyu, Duran Fabio Luis SouzaORCID, Durston Sarah, Ecker Christine, Ehrlich Stefan, Fair Damien, Fedor Jennifer, Fitzgerald Jacqueline, Floris Dorothea L., Franke BarbaraORCID, Freitag Christine M.ORCID, Gallagher LouiseORCID, Glahn David C., Haar Shlomi, Hoekstra Liesbeth, Jahanshad Neda, Jalbrzikowski Maria, Janssen Joost, King Joseph A., Lazaro Luisa, Luna Beatriz, McGrath Jane, Medland Sarah E.ORCID, Muratori Filippo, Murphy Declan G. M.ORCID, Neufeld JaninaORCID, O’Hearn Kirsten, Oranje Bob, Parellada Mara, Pariente Jose C.ORCID, Postema Merel C., Remnelius Karl Lundin, Retico AlessandraORCID, Rosa Pedro Gomes Penteado, Rubia KatyaORCID, Shook Devon, Tammimies KristiinaORCID, Taylor Margot J., Tosetti Michela, Wallace Gregory L., Zhou FengfengORCID, Thompson Paul M., Fisher Simon E.ORCID, Buitelaar Jan K.ORCID, Francks ClydeORCID
Abstract
AbstractSmall average differences in the left-right asymmetry of cerebral cortical thickness have been reported in individuals with autism spectrum disorder (ASD) compared to typically developing controls, affecting widespread cortical regions. The possible impacts of these regional alterations in terms of structural network effects have not previously been characterized. Inter-regional morphological covariance analysis can capture network connectivity between different cortical areas at the macroscale level. Here, we used cortical thickness data from 1455 individuals with ASD and 1560 controls, across 43 independent datasets of the ENIGMA consortium’s ASD Working Group, to assess hemispheric asymmetries of intra-individual structural covariance networks, using graph theory-based topological metrics. Compared with typical features of small-world architecture in controls, the ASD sample showed significantly altered average asymmetry of networks involving the fusiform, rostral middle frontal, and medial orbitofrontal cortex, involving higher randomization of the corresponding right-hemispheric networks in ASD. A network involving the superior frontal cortex showed decreased right-hemisphere randomization. Based on comparisons with meta-analyzed functional neuroimaging data, the altered connectivity asymmetry particularly affected networks that subserve executive functions, language-related and sensorimotor processes. These findings provide a network-level characterization of altered left-right brain asymmetry in ASD, based on a large combined sample. Altered asymmetrical brain development in ASD may be partly propagated among spatially distant regions through structural connectivity.
Funder
Foundation for the National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Psychiatry and Mental health,Molecular Biology
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