» Articles » PMID: 36138632

Neurobehavioral Associations with NREM and REM Sleep Architecture in Children with Autism Spectrum Disorder

Overview
Specialty Health Services
Date 2022 Sep 23
PMID 36138632
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: Insomnia and daytime behavioral problems are common issues in pediatric autism spectrum disorder (ASD), yet specific underlying relationships with NonRapid Eye Movement sleep (NREM) and Rapid Eye Movement (REM) sleep architecture are understudied. We hypothesize that REM sleep alterations (REM%, REM EEG power) are associated with more internalizing behaviors and NREM sleep deficits (N3%; slow wave activity (SWA) 0.5-3 Hz EEG power) are associated with increased externalizing behaviors in children with ASD vs. typical developing controls (TD).

Methods: In an age- and gender-matched pediatric cohort of = 23 ASD and = 20 TD participants, we collected macro/micro sleep architecture with overnight home polysomnogram and daytime behavior scores with Child Behavior Checklist (CBCL) scores.

Results: Controlling for non-verbal IQ and medication use, ASD and TD children have similar REM and NREM sleep architecture. Only ASD children show positive relationships between REM%, REM theta power and REM beta power with internalizing scores. Only TD participants showed an inverse relationship between NREM SWA and externalizing scores.

Conclusion: REM sleep measures reflect concerning internalizing behaviours in ASD and could serve as a biomarker for mood disorders in this population. While improving deep sleep may help externalizing behaviours in TD, we do not find evidence of this relationship in ASD.

Citing Articles

Effects of Extremely Low-Frequency Electromagnetic Field Treatment on ASD Symptoms in Children: A Pilot Study.

Pietramala K, Greco A, Garoli A, Roblin D Brain Sci. 2025; 14(12.

PMID: 39766492 PMC: 11675033. DOI: 10.3390/brainsci14121293.


Sleep architecture is associated with core symptom severity in autism spectrum disorder.

Kawai M, Buck C, Chick C, Anker L, Talbot L, Schneider L Sleep. 2022; 46(3).

PMID: 36385326 PMC: 9995925. DOI: 10.1093/sleep/zsac273.


M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity.

Akter S, Prodhan R, Pias T, Eisenberg D, Fernandez J Sensors (Basel). 2022; 22(21).

PMID: 36366164 PMC: 9654596. DOI: 10.3390/s22218467.

References
1.
Sitaram N, Nurnberger Jr J, Gershon E, Gillin J . Cholinergic regulation of mood and REM sleep: potential model and marker of vulnerability to affective disorder. Am J Psychiatry. 1982; 139(5):571-6. DOI: 10.1176/ajp.139.5.571. View

2.
Sikora D, Johnson K, Clemons T, Katz T . The relationship between sleep problems and daytime behavior in children of different ages with autism spectrum disorders. Pediatrics. 2012; 130 Suppl 2:S83-90. DOI: 10.1542/peds.2012-0900F. View

3.
Greden J . Biological markers of melancholia and reclassification of depressive disorders. Encephale. 1982; 8(2):193-202. View

4.
Ansseau M, von Frenckell R, FRANCK G, Reynolds 3rd C, Kupfer D . [Sleep and depression: toward a standardization of the use of the latency of paradoxical sleep as a biological marker of major depression]. Rev Electroencephalogr Neurophysiol Clin. 1987; 17(4):411-24. DOI: 10.1016/s0370-4475(87)80087-4. View

5.
Kupfer D . Application of EEG sleep for the differential diagnosis and treatment of affective disorders. Pharmakopsychiatr Neuropsychopharmakol. 1978; 11(1):17-26. DOI: 10.1055/s-0028-1094559. View