Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia

We explore neurodevelopmental heterogeneity in Autism Spectrum Disorder (ASD) through normative modeling of cross-cultural cohorts. By leveraging large-scale datasets from Autism Brain Imaging Data Exchange (ABIDE) and China Autism Brain Imaging Consortium (CABIC), our model identifies two ASD subgr...

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Detalles Bibliográficos
Autores: Fan, Xue-Ru, He, Ye, Wang, Yin-Shan, Li, Lei, China Autism Brain Imaging Consortium (CABIC), Xujun, Duan, Xi-Nian, Zuo, Lifespan Brain Chart Consortium (LBCC), Romero García, Rafael
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:dnet:idus________::7805722bfe193cc2f4a19aede75f9220
Acceso en línea:https://hdl.handle.net/11441/183754
https://doi.org/10.1038/s42003-025-08573-z
Access Level:acceso abierto
Palabra clave:Brain morphology
Autism spectrum disorder
Modeling of cross-cultural cohorts
Descripción
Sumario:We explore neurodevelopmental heterogeneity in Autism Spectrum Disorder (ASD) through normative modeling of cross-cultural cohorts. By leveraging large-scale datasets from Autism Brain Imaging Data Exchange (ABIDE) and China Autism Brain Imaging Consortium (CABIC), our model identifies two ASD subgroups with distinct brain morphological abnormalities: subgroup “L” is characterized by generally smaller brain region volumes and higher rates of abnormality, while subgroup “H” exhibits larger volumes with less pronounced deviations in specific areas. Key areas, such as the isthmus cingulate and transverse temporal gyrus, were identified as critical for subgroup differentiation and ASD trait correlations. In subgroup H, the regional volume of the isthmus cingulate cortex showed a direct correlation with individuals’ autistic mannerisms, potentially corresponding to its slower post-peak volumetric declines during development. These findings offer insights into the biological mechanisms underlying ASD and support the advancement of subgroup-driven precision clinical practices.