Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? / Martin G. FRASCH in Journal of Autism and Developmental Disorders, 51-1 (January 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-1 (January 2021) . - p.346-356 Titre : Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? Type de document : texte imprimé Auteurs : Martin G. FRASCH, Auteur ; Chao SHEN, Auteur ; Hau-Tieng WU, Auteur ; Alexander MUELLER, Auteur ; Emily NEUHAUS, Auteur ; Raphael A. BERNIER, Auteur ; Dana KAMARA, Auteur ; Theodore P. BEAUCHAINE, Auteur Article en page(s) : p.346-356 Langues : Anglais (eng) Mots-clés : Biomarker  Electrocardiogram  Heart rate variability Index. décimale : PER Périodiques 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. En ligne : http://dx.doi.org/10.1007/s10803-020-04467-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438 [article] Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? [texte imprimé] / Martin G. FRASCH, Auteur ; Chao SHEN, Auteur ; Hau-Tieng WU, Auteur ; Alexander MUELLER, Auteur ; Emily NEUHAUS, Auteur ; Raphael A. BERNIER, Auteur ; Dana KAMARA, Auteur ; Theodore P. BEAUCHAINE, Auteur . - p.346-356. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-1 (January 2021) . - p.346-356 Mots-clés : Biomarker  Electrocardiogram  Heart rate variability Index. décimale : PER Périodiques 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. En ligne : http://dx.doi.org/10.1007/s10803-020-04467-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438

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