Journal article

Individual Differences in Intrinsic Brain Networks Predict Symptom Severity in Autism Spectrum Disorders

Emmanuel Peng Kiat Pua, Phoebe Thomson, Joseph Yuan-Mou Yang, Jeffrey M Craig, Gareth Ball, Marc Seal

Cerebral Cortex | OXFORD UNIV PRESS INC | Published : 2021


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 r..

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Awarded by Royal Children's Hospital Foundation

Funding Acknowledgements

The Murdoch Children's Research Institute, The Royal Children's Hospital, Department of Pediatrics, The University of Melbourne and the Victorian Government's Operational Infrastructure Support Program. The project was generously supported by RCH1000, a unique arm of The Royal Children's Hospital Foundation devoted to raising funds for research at The Royal Children's Hospital.