The effect of age on vertex-based measures of the grey-white matter tissue contrast in autism spectrum disorder

Caroline Mann*, Anke Bletsch, Derek Andrews, Eileen Daly, Clodagh Murphy, Declan Murphy, Christine Ecker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)
159 Downloads (Pure)

Abstract

Background: Histological evidence suggests that autism spectrum disorder (ASD) is accompanied by a reduced integrity of the grey-white matter boundary. This has also recently been confirmed by a structural neuroimaging study in vivo reporting significantly reduced grey-white matter tissue contrast (GWC) in adult individuals (18-42 years of age) with ASD relative to typically developing (TD) controls. However, it remains unknown whether the neuroanatomical differences in ASD at the grey-white matter boundary are stable across development or are age-dependent. Methods: Here, we examined differences in the neurodevelopmental trajectories of GWC in a cross-sectional sample of 77 male ASD individuals and 76 typically developing (TD) controls across childhood and early adulthood (from 7 to 25 years). Results: Using nested model comparisons, we first established that the developmental trajectory of GWC is complex in many regions across the cortex and includes linear and non-linear effects of age. Second, while ASD individuals have significantly reduced GWC overall, these differences are age-dependent and are most prominent during childhood (< 15 years). Conclusions: Taken together, our findings suggest that differences in GWC in ASD are unlikely to reflect atypical grey matter cytoarchitecture alone, but may also represent other aspects of the cortical architecture such as age-dependent variability in myelin integrity.

Original languageEnglish
Article number49
JournalMolecular Autism
Volume9
Issue number1
Early online date1 Oct 2018
DOIs
Publication statusPublished - Oct 2018

Keywords

  • Autism spectrum disorder
  • Brain anatomy
  • Neurodevelopment
  • Neuroimaging
  • Structural MRI

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