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Central Executive and Default Mode Networks: An Appraisal of Executive Function and Social Skill Brain-Behavior Correlates in Youth with Autism Spectrum Disorder.
Blume, Jessica; Dhanasekara, Chathurika S; Kahathuduwa, Chanaka N; Mastergeorge, Ann M.
Afiliação
  • Blume J; Department of Human Development and Family Sciences, Texas Tech University, P.O. Box 41230, Lubbock, TX, 79409-1230, USA. jessica.blume@ttu.edu.
  • Dhanasekara CS; Department of Surgery, Texas Tech University Health Sciences Center, Lubbock, USA.
  • Kahathuduwa CN; Department of Psychiatry and Neurology, Texas Tech University Health Sciences Center, Lubbock, USA.
  • Mastergeorge AM; Department of Human Development and Family Sciences, Texas Tech University, P.O. Box 41230, Lubbock, TX, 79409-1230, USA.
J Autism Dev Disord ; 2023 Mar 29.
Article em En | MEDLINE | ID: mdl-36988766
ABSTRACT
Atypical connectivity patterns have been observed for individuals with autism spectrum disorders (ASD), particularly across the triple-network model. The current study investigated brain-behavior relationships in the context of social skills and executive function profiles for ASD youth. We calculated connectivity measures from diffusion tensor imaging using Bayesian estimation and probabilistic tractography. We replicated prior structural equation modeling of behavioral measures with total default mode network (DMN) connectivity to include comparisons with central executive network (CEN) connectivity and CEN-DMN connectivity. Increased within-CEN connectivity was related to metacognitive strengths. Our findings indicate behavior regulation difficulties in youth with ASD may be attributable to impaired connectivity between the CEN and DMN and social skill difficulties may be exacerbated by impaired within-DMN connectivity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article