Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children?
Biomarker
Electrocardiogram
Heart rate variability
Journal
Journal of autism and developmental disorders
ISSN: 1573-3432
Titre abrégé: J Autism Dev Disord
Pays: United States
ID NLM: 7904301
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
pubmed:
26
5
2020
medline:
14
4
2021
entrez:
26
5
2020
Statut:
ppublish
Résumé
Several studies show altered heart rate variability (HRV) in autism spectrum disorder (ASD), but findings are neither universal nor specific to ASD. We apply a set of linear and nonlinear HRV measures-including phase rectified signal averaging-to segments of resting ECG data collected from school-age children with ASD, age-matched typically developing controls, and children with other psychiatric conditions characterized by altered HRV (conduct disorder, depression). We use machine learning to identify time, frequency, and geometric signal-analytical domains that are specific to ASD (receiver operating curve area = 0.89). This is the first study to differentiate children with ASD from other disorders characterized by altered HRV. Despite a small cohort and lack of external validation, results warrant larger prospective studies.
Identifiants
pubmed: 32449059
doi: 10.1007/s10803-020-04467-7
pii: 10.1007/s10803-020-04467-7
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
346-356Subventions
Organisme : NIMH NIH HHS
ID : R01 MH063699
Pays : United States
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