Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children?
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-ag...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 51; no. 1; pp. 346 - 357 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148114416&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148114416 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: 2021 vid: 51 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 148114416 144031316 148114416 148114416 10.1007/s10803-020-04467-7 148114416 ppf: 346 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? aug: au: Frasch, Martin G. Shen, Chao Wu, Hau-Tieng Mueller, Alexander Neuhaus, Emily Bernier, Raphael A. Kamara, Dana Beauchaine, Theodore P. affil: Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA sug: subj: Autism Spectrum Disorder Physiopathology Heart Rate Evaluation Heart Rate Variability Biological Markers Human Secondary Analysis Electrocardiography Child Female Male Comparative Studies Child Behavior Disorders Depression ROC Curve Autism Spectrum Disorder Diagnosis Descriptive Statistics Child: 6-12 years Female Male ab: 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. pubtype: Academic Journal doctype: research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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