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General Physiology and Biophysics Vol.41, No.2, p. 123–131, 2022 |
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Title: Electrodermal activity spectral and nonlinear analysis – potential biomarkers for sympathetic dysregulation in autism | ||
Author: Zuzana Visnovcova, Nikola Ferencova, Marian Grendar, Igor Ondrejka, Lucia Bona Olexova, Iveta Bujnakova, Ingrid Tonhajzerova | ||
Abstract: Autism spectrum disorder (ASD) is a neurodevelopmental disease characterized by emotional and social deficits, which can be associated with sympathetic dysregulation. Thus, we aimed to analyze the electrodermal activity (EDA) using time, and novel spectral and nonlinear indices in ASD. The cohort consisted of 45 ASD boys and 45 age-matched controls. EDA was continuously recorded at rest. The EDA indices were evaluated by time-, spectral-, and nonlinear-domain analysis. Our results revealed increased non-specific skin conductance responses, spectral parameters in high and very-high frequency bands, approximate and symbolic information entropy indicating sympathetic overactivity in ASD vs. controls (p |
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Keywords: Electrodermal activity — Autistic spectrum disorder — Nonlinear analysis — Spectral-domain analysis — Time-domain analysis | ||
Published online: 11-Apr-2022 | ||
Year: 2022, Volume: 41, Issue: 2 | Page From: 123, Page To: 131 | |
doi:10.4149/gpb_2022011 |
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