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Characterization of Autism Spectrum Disorder across the Age Span by Intrinsic Network Patterns

  • Benjamin R. MorganEmail author
  • George M. Ibrahim
  • Vanessa M. Vogan
  • Rachel C. Leung
  • Wayne Lee
  • Margot J. Taylor
Original Paper
  • 104 Downloads

Abstract

Autism spectrum disorder (ASD) is characterized by abnormal functional organization of brain networks, which may underlie the cognitive and social impairments observed in affected individuals. The present study characterizes unique intrinsic connectivity within- and between- neural networks in children through to adults with ASD, relative to controls. Resting state fMRI data were analyzed in 204 subjects, 102 with ASD and 102 age- and sex-matched controls (ages 7–40 years), acquired on a single scanner. ASD was assessed using the autism diagnostic observation schedule (ADOS). BOLD correlations were calculated between 47 regions of interest, spanning seven resting state brain networks. Partial least squares (PLS) analyses evaluated the association between connectivity patterns and ASD diagnosis as well as ASD severity scores. PLS demonstrated dissociable connectivity patterns in those with ASD, relative to controls. Similar patterns were observed in the whole cohort and in a subgroup analysis of subjects under 18 years of age. Greater inter-network connectivity was seen in ASD with greater intra-network connectivity in controls. In conclusion, stronger inter-network and weaker intra-network resting state-fMRI BOLD correlations characterize ASD and may differentiate control and ASD cohorts. These findings are relevant to understanding ASD as a disruption of network topology.

Keywords

Autism spectrum disorder fMRI brain Multivariate analysis Child Adult 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Diagnostic ImagingHospital for Sick ChildrenTorontoCanada
  2. 2.Division of Neurosurgery, Department of SurgeryUniversity of TorontoTorontoCanada
  3. 3.Applied Psychology and Human Development, Ontario Institute for Studies in EducationUniversity of TorontoTorontoCanada
  4. 4.Departments of Medical Imaging and PsychologyUniversity of TorontoTorontoCanada

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