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Title: Individual Differences in Intrinsic Brain Networks Predict Symptom Severity in Autism Spectrum Disorders.
Austin Authors: Pua, Emmanuel Peng Kiat;Thomson, Phoebe;Yang, Joseph Yuan-Mou;Craig, Jeffrey M;Ball, Gareth;Seal, Marc
Affiliation: Department of Paediatrics, University of Melbourne, Parkville VIC 3010, Australia
Melbourne School of Psychological Sciences, University of Melbourne, Parkville VIC 3010, Australia
Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong VIC 3220, Australia
Molecular Epidemiology, Murdoch Children's Research Institute, Parkville VIC 3052, Australia
Department of Neurosurgery, Neuroscience Advanced Clinical Imaging Suite (NACIS), The Royal Children's Hospital, Parkville VIC 3052, Australia
Neuroscience Research, Murdoch Children's Research Institute, Parkville VIC 3052, Australia
Medicine (University of Melbourne)
Developmental Imaging, Murdoch Children's Research Institute, Parkville VIC 3052, Australia
Issue Date: 2021
Date: 2020-09-22
Publication information: Cerebral cortex 2021; 31(1): 681-693
Abstract: The neurobiology of heterogeneous neurodevelopmental disorders such as Autism Spectrum Disorders (ASD) is still unknown. We hypothesized that differences in subject-level properties of intrinsic brain networks were important features that could predict individual variation in ASD symptom severity. We matched cases and controls from a large multicohort ASD dataset (ABIDE-II) on age, sex, IQ, and image acquisition site. Subjects were matched at the individual level (rather than at group level) to improve homogeneity within matched case-control pairs (ASD: n = 100, mean age = 11.43 years, IQ = 110.58; controls: n = 100, mean age = 11.43 years, IQ = 110.70). Using task-free functional magnetic resonance imaging, we extracted intrinsic functional brain networks using projective non-negative matrix factorization. Intrapair differences in strength in subnetworks related to the salience network (SN) and the occipital-temporal face perception network were robustly associated with individual differences in social impairment severity (T = 2.206, P = 0.0301). Findings were further replicated and validated in an independent validation cohort of monozygotic twins (n = 12; 3 pairs concordant and 3 pairs discordant for ASD). Individual differences in the SN and face-perception network are centrally implicated in the neural mechanisms of social deficits related to ASD.
DOI: 10.1093/cercor/bhaa252
Journal: Cerebral Cortex
PubMed URL: 32959054
Type: Journal Article
Subjects: autism spectrum disorders
intrinsic brain networks
neural correlates
Appears in Collections:Journal articles

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