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This title appears in the Scientific Report : 2021 

A convergent structure-function substrate of cognitive imbalances in autism

A convergent structure-function substrate of cognitive imbalances in autism

Autism is a common neurodevelopmental condition characterized by substantial phenotypic heterogeneity, which hinders diagnosis, research, and intervention. A leading example can be found in marked imbalances in language and perceptual skills, where deficits in one domain often co-exist with normal o...

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Personal Name(s): Hong, Seok-Jun (Corresponding author)
Laurent, Mottron / Park, Bo-yong / Benkarim, Oualid / Valk, Sofie Louise / Paquola, Casey / Larivière, Sara / Wael, Reinder Vos de / Degré-Pelletier, Janie / Soulieres, Isabelle / Ramphal, Bruce / Margolis, Amy / Milham, Michael / Martino, Adriana Di / Bernhardt, Boris
Contributing Institute: Gehirn & Verhalten; INM-7
Imprint: 2021
Document Type: Preprint
Research Program: Multilevel Brain Organization and Variability
Link: OpenAccess
Publikationsportal JuSER
Please use the identifier: http://hdl.handle.net/2128/30501 in citations.

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Autism is a common neurodevelopmental condition characterized by substantial phenotypic heterogeneity, which hinders diagnosis, research, and intervention. A leading example can be found in marked imbalances in language and perceptual skills, where deficits in one domain often co-exist with normal or even superior performance in the other domain. The current work capitalized on multiple data analytics including data-driven subtyping and dimensional approaches to quantify cognitive imbalances in multi-site datasets of individuals diagnosed with autism spectrum disorder (ASD) and neurotypical controls, and assessed structural and functional brain network substrates. Studying cognitive dimensions as well as multimodal neuroimaging signatures in 155 ASD and 151 neurotypical individuals, we observed robust evidence for a structure-function substrate of cognitive imbalances in ASD. Specifically, ASD presented with marked imbalances in cognitive profiles relative to neurotypical controls, characterized by verbal to non-verbal intelligence discrepancy. Different analytical approaches including subtyping and dimensional regression methods converged in showing that these imbalances were reflected in atypical cortical thickening and functional integration of language networks, alongside sensory and higher cognitive networks. Phenotypic findings could be replicated in an independent sample of 325 ASD and 569 neurotypical controls. Although verbal and non-verbal intelligence are currently considered as specifiers unrelated to the categorical diagnosis of autism, our results show that intelligence disparities are accentuated in ASD …

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