Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights about Autism Spectrum Disorder in School-Aged Children?

Autor/inn/en	Frasch, Martin G.; Shen, Chao; Wu, Hau-Tieng; Mueller, Alexander; Neuhaus, Emily; Bernier, Raphael A.; Kamara, Dana; Beauchaine, Theodore P.
Titel	Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights about Autism Spectrum Disorder in School-Aged Children?
Quelle	In: Journal of Autism and Developmental Disorders, 51 (2021) 1, S.346-356 (11 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0162-3257
DOI	10.1007/s10803-020-04467-7
Schlagwörter	Metabolism; Autism; Pervasive Developmental Disorders; Biomechanics; Children; Behavior Problems; Depression (Psychology); Symptoms (Individual Disorders) + Suchen Sie Ihr Suchwort? Stoffwechsel; Autismus; Biomechanik; Child; Kind; Kinder; Psychiatrische Symptomatik
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01