Electrodermal activity spectral and nonlinear analysis – potential biomarkers for sympathetic dysregulation in autism

Višňovcová, Zuzana; Ferencova, Nikola; Grendár, Marian; Ondrejka, Igor; Olexova, Lucia Bona; Bujnakova, Iveta; Tonhajzerová, Ingrid

doi:10.4149/gpb_2022011

Cited by 2 publications

(1 citation statement)

References 38 publications

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“…Thus, hyperarousal of the autonomic nervous system would reflect a continuous state of “fight or flight,” resulting in an exaggerated sympathetic response to stress; however, empirical support for this theory in autism is mixed. Some studies report hyperarousal of the SNS, some evidence suggests hypoarousal, and others report no difference in SNS functioning as measured by EDA compared to non‐autistic children (Airij et al., 2020; Ferguson et al., 2019; Kushki et al., 2013; Lydon et al., 2016; Panju et al., 2015; Visnovcova et al., 2022). A recent review of studies examining potential autonomic nervous system dysfunction in autism found little empirical evidence for sympathetic hyperarousal as measured by EDA (Barbier et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of electrodermal activity metrics and their association with child behavior in autism spectrum disorder

Greenlee,

Lorang,

Olson

et al. 2024

Developmental Psychobiology

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Researchers are increasingly utilizing physiological data like electrodermal activity (EDA) to understand how stress “gets under the skin.” Results of EDA studies in autistic children are mixed, with some suggesting autistic hyperarousal, others finding hypoarousal, and yet others detecting no difference compared to non‐autistics. Some of this variability likely stems from the different techniques used to assess EDA. Therefore, the purpose of this study is to investigate and compare commonly used metrics of EDA (frequency of peaks, average amplitude of peaks, and standard deviation of skin conductance level) using two data processing programs (NeuroKit2 and Ledalab) and their link to observed child behavior. EDA data were collected using Empatica E4 wristbands from 60 autistic children and adolescents (5–18 years old) during a 7‐min play interaction with their primary caregiver. The play interaction was coded for a range of child behaviors including mood, social responsiveness, dysregulation, and cooperation. Results indicate a strong correlation between NeuroKit2 and Ledalab and a weak correlation between metrics within each program. Furthermore, the frequency of peaks was associated with more positive child social behaviors, and the magnitude of peaks was associated with less adaptive child behaviors. Recommendations for replication and the need for generalizability of this research are given.

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Section: Introductionmentioning

confidence: 99%

Comparative analysis of electrodermal activity metrics and their association with child behavior in autism spectrum disorder

Greenlee,

Lorang,

Olson

et al. 2024

Developmental Psychobiology

View full text Add to dashboard Cite

show abstract

Diagnosis of stress and sympathetic activation by parameters of skin conductance: the current state of the method, fields of application and prospects in medicine

Kuzyukova,

Zagainova,

Odarushenko

et al. 2024

Vrach

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The article provides a justification for the importance of objectification of stressful conditions in medical institutions. It is noted that in comparison with other biosignals, skin conductance as a form of electrodermal activity (EDA), is a simpler, more accessible, and suitable method for routine practice to assess the state of the sympathetic nervous system, the activation of which plays a leading role in stress. In accordance with the stated goal of studying modern techniques that use EDA signals to understand their capabilities in the diagnosis and correction of stress and other conditions in medicine, the article presents data on literary sources indicating a steadily growing interest in the ED ED method at the present time; describes the physiological mechanisms of formation of EDA signals and ways to measure them, types of electrodes and places of their superposition, types of signal processing, dependence of EDA indicators on environmental factors and individual characteristics; areas and prospects of application in medicine, indicating the high accuracy of the method for determining stress conditions, features of emotional disorders and pain, the possibility of monitoring the condition of patients with epilepsy, severe somatic diseases and in the postoperative period. In conclusion, a description of modern domestic studies using a Stress monitoring System based on EDA registration is given to monitor stroke patients undergoing rehabilitation and the effectiveness of anesthesia after cesarean section, confirming that taking into account EDA indicators can significantly optimize the diagnosis of stress conditions, emotional pathology and pain.

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Electrodermal activity spectral and nonlinear analysis – potential biomarkers for sympathetic dysregulation in autism

Cited by 2 publications

References 38 publications

Comparative analysis of electrodermal activity metrics and their association with child behavior in autism spectrum disorder

Comparative analysis of electrodermal activity metrics and their association with child behavior in autism spectrum disorder

Diagnosis of stress and sympathetic activation by parameters of skin conductance: the current state of the method, fields of application and prospects in medicine

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