Resting-state fMRI activation is associated with parent-reported phenotypic features of autism in early adolescence

IntroductionAutism Spectrum Disorder (ASD) is characterized by deficits in social cognition, self-referential processing, and restricted repetitive behaviors. Despite the established clinical symptoms and neurofunctional alterations in ASD, definitive biomarkers for ASD features during neurodevelopm...

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Veröffentlicht in:Frontiers in child and adolescent psychiatry 2024-11, Vol.3
Hauptverfasser: Hickson, Robert, Hebron, Liberty, Muller-Oehring, Eva M., Cheu, Anastasia, Hernandez, Andres, Kiss, Orsolya, Gombert-Labedens, Marie, Baker, Fiona C., Schulte, Tilman
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Sprache:eng
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Zusammenfassung:IntroductionAutism Spectrum Disorder (ASD) is characterized by deficits in social cognition, self-referential processing, and restricted repetitive behaviors. Despite the established clinical symptoms and neurofunctional alterations in ASD, definitive biomarkers for ASD features during neurodevelopment remain unknown. In this study, we aimed to explore if activation in brain regions of the default mode network (DMN), specifically the medial prefrontal cortex (MPC), posterior cingulate cortex (PCC), superior temporal sulcus (STS), inferior frontal gyrus (IFG), angular gyrus (AG), and the temporoparietal junction (TPJ), during resting-state functional magnetic resonance imaging (rs-fMRI) is associated with possible phenotypic features of autism (PPFA) in a large, diverse youth cohort.MethodsWe used cross-sectional parent-reported PPFA data and youth rs-fMRI brain data as part of the two-year follow-up of the Adolescent Brain Cognitive Development (ABCD) study. Our sample consisted of 7,106 (53% male) adolescents aged 10-13. We conducted confirmatory factor analyses (CFAs) to establish the viability of our latent measurements: features of autism and regional brain activation. Structural regression analyses were used to investigate the associations between the six brain regions and the PPFA.ResultsWe found that activation in the MPC (β = .16, p 
ISSN:2813-4540
2813-4540
DOI:10.3389/frcha.2024.1481957