An Electroencephalographic Study of Sleep Spindle and Infraslow Oscillation in Children With Autism Spectrum Disorder

Kevin Liu1, Binbin Sun2, Bryan K Wang3

  • 1Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA.

Journal of Sleep Research
|February 11, 2026
PubMed

Insights

Children with autism exhibit distinct sleep microstructure patterns, particularly in how spindle frequency interacts with slow oscillations. These differences in sleep may reflect underlying brain dysfunction and show sex-specific links to autism severity.

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Sleep Science

Background:

  • Sleep disturbances are common in young children with autism spectrum disorder (ASD).
  • Understanding sleep microstructure may offer insights into neurodevelopmental differences in autism.

Purpose of the Study:

  • To investigate spatial differences in sleep microstructures between young children with autism and typically developing peers.
  • To explore the relationship between sleep features, brain activity, and autism severity.

Main Methods:

  • Recorded 32-channel electroencephalography (EEG) during natural sleep in 53 children (26 with autism, 27 controls) after partial sleep deprivation.
  • Quantified EEG features including spindle density, frequency, morphology, slow oscillations, and infraslow oscillations (0.005-0.03 Hz).
  • Assessed clinical associations using standardized autism diagnostic tools.

Main Results:

  • Children with autism showed greater modulation of spindle frequency by slow oscillation phase at a right frontal electrode (F8).
  • An infraslow peak near 0.02 Hz was observed in both groups.
  • Infraslow power correlated positively with autism severity in males, particularly in posterior and temporal regions, though group differences were not significant after multiple comparison correction.

Conclusions:

  • Sleep microstructures in early childhood reveal thalamocortical and cortical dysfunction in autism.
  • Observed sleep differences suggest potential sex-specific clinical associations with autism severity.
  • These findings highlight the role of sleep in understanding neurodevelopmental differences in autism.

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