State-Dependent Differences in Functional Connectivity in Young Children With Autism Spectrum Disorder

EBioMedicine. 2015 Nov 5;2(12):1905-15. doi: 10.1016/j.ebiom.2015.11.004. eCollection 2015 Dec.

Abstract

Background: While there is increasing evidence of altered brain connectivity in autism, the degree and direction of these alterations in connectivity and their uniqueness to autism has not been established. The aim of the present study was to compare connectivity in children with autism to that of typically developing controls and children with developmental delay without autism.

Methods: We assessed EEG spectral power, coherence, phase lag, Pearson and partial correlations, and epileptiform activity during the awake, slow wave sleep, and REM sleep states in 137 children aged 2 to 6 years with autism (n = 87), developmental delay without autism (n = 21), or typical development (n = 29).

Findings: We found that brain connectivity, as measured by coherence, phase lag, and Pearson and partial correlations distinguished children with autism from both neurotypical and developmentally delayed children. In general, children with autism had increased coherence which was most prominent during slow wave sleep.

Interpretation: Functional connectivity is distinctly different in children with autism compared to samples with typical development and developmental delay without autism. Differences in connectivity in autism are state and region related. In this study, children with autism were characterized by a dynamically evolving pattern of altered connectivity.

Trial registration: ClinicalTrials.gov NCT00298246.

Keywords: Coherence; EEG; Epilepsy; Epileptiform; Pearson; Power spectral analysis.

Publication types

  • Research Support, N.I.H., Intramural

MeSH terms

  • Autism Spectrum Disorder / diagnosis
  • Autism Spectrum Disorder / physiopathology*
  • Brain / physiopathology*
  • Brain Waves
  • Child
  • Child, Preschool
  • Electroencephalography
  • Female
  • Humans
  • Male
  • Sleep Stages
  • Support Vector Machine

Associated data

  • ClinicalTrials.gov/NCT00298246