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Published on: October 2, 2019
Sleep Spindle Abnormalities in Preschool Children With Autism Spectrum Disability: Insights From Nap Polysomnography
Sasha D'Ambrosio1,2,3, Daniele Gualandris4, Davide Caputo5
1Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
Autism spectrum disorder (ASD) in children is linked to altered sleep patterns, specifically in sigma power and sleep spindles during Non-Rapid Eye Movement (NREM) sleep. Afternoon nap recordings show increased frontal spindle activity in ASD, suggesting potential as early neurophysiological biomarkers.
Area of Science:
- Neuroscience
- Sleep Medicine
- Developmental Psychology
Background:
- Non-Rapid Eye Movement (NREM) sleep features like sigma power and sleep spindles are crucial indicators of brain circuit function and development.
- Previous research suggests NREM sleep abnormalities may serve as early neurophysiological markers for autism spectrum disorder (ASD).
- Understanding sleep patterns in early childhood is vital for identifying developmental differences and potential interventions.
Purpose of the Study:
- To investigate differences in sigma power and sleep spindle parameters between children with ASD and typically developing (TD) children.
- To explore the utility of afternoon nap polysomnography (PSG) for detecting sleep abnormalities in young children with ASD.
- To assess the potential of specific sleep spindle characteristics as neurophysiological biomarkers for ASD.
Main Methods:
- Conducted polysomnography (PSG) and electroencephalogram (EEG) recordings during afternoon naps in 50 children (2-6 years) diagnosed with ASD or TD.
- Analyzed EEG data from 19 scalp leads, focusing on sigma power (10-16 Hz) and sleep spindle characteristics (amplitude, density, duration, frequency).
- Performed frequency-specific analyses within the sigma band to pinpoint alterations in spindle activity.
Main Results:
- Significant differences in power spectral density were observed between ASD and TD groups, particularly in the sigma, alpha, and beta bands, with increased anterior power in ASD.
- Children with ASD exhibited higher spindle amplitude and integrated spindle activity (ISA), especially in frontal regions, compared to TD children.
- No significant differences in spindle density, duration, or frequency were found outside specific anterior clusters, highlighting localized frontal alterations.
Conclusions:
- Specific sleep spindle parameters, notably amplitude and integrated activity in frontal areas, are significantly altered in young children with ASD.
- Afternoon nap PSG is a feasible and effective method for identifying these sleep abnormalities in clinical settings.
- Frontal sleep spindle alterations in ASD warrant further investigation as potential neurophysiological biomarkers for diagnosis and prognosis.
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