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@ARTICLE{Hong:905777,
      author       = {Hong, Seok-Jun and Laurent, Mottron and Park, Bo-yong and
                      Benkarim, Oualid and Valk, Sofie Louise and Paquola, Casey
                      and Larivière, Sara and Wael, Reinder Vos de and
                      Degré-Pelletier, Janie and Soulieres, Isabelle and Ramphal,
                      Bruce and Margolis, Amy and Milham, Michael and Martino,
                      Adriana Di and Bernhardt, Boris},
      title        = {{A} convergent structure-function substrate of cognitive
                      imbalances in autism},
      reportid     = {FZJ-2022-01000},
      year         = {2021},
      abstract     = {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 …},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)25},
      url          = {https://juser.fz-juelich.de/record/905777},
}