A method to quantify autonomic nervous system function in healthy, able-bodied individuals

Abstract Background The autonomic nervous system (ANS) maintains physiological homeostasis in various organ systems via parasympathetic and sympathetic branches. ANS function is altered in common diffuse and focal conditions and heralds the beginning of environmental and disease stresses. Reliable,...

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Main Authors: Shubham Debnath, Todd J. Levy, Mayer Bellehsen, Rebecca M. Schwartz, Douglas P. Barnaby, Stavros Zanos, Bruce T. Volpe, Theodoros P. Zanos
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Bioelectronic Medicine
Online Access:https://doi.org/10.1186/s42234-021-00075-7
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author Shubham Debnath
Todd J. Levy
Mayer Bellehsen
Rebecca M. Schwartz
Douglas P. Barnaby
Stavros Zanos
Bruce T. Volpe
Theodoros P. Zanos
author_facet Shubham Debnath
Todd J. Levy
Mayer Bellehsen
Rebecca M. Schwartz
Douglas P. Barnaby
Stavros Zanos
Bruce T. Volpe
Theodoros P. Zanos
author_sort Shubham Debnath
collection DOAJ
description Abstract Background The autonomic nervous system (ANS) maintains physiological homeostasis in various organ systems via parasympathetic and sympathetic branches. ANS function is altered in common diffuse and focal conditions and heralds the beginning of environmental and disease stresses. Reliable, sensitive, and quantitative biomarkers, first defined in healthy participants, could discriminate among clinically useful changes in ANS function. This framework combines controlled autonomic testing with feature extraction during physiological responses. Methods Twenty-one individuals were assessed in two morning and two afternoon sessions over two weeks. Each session included five standard clinical tests probing autonomic function: squat test, cold pressor test, diving reflex test, deep breathing, and Valsalva maneuver. Noninvasive sensors captured continuous electrocardiography, blood pressure, breathing, electrodermal activity, and pupil diameter. Heart rate, heart rate variability, mean arterial pressure, electrodermal activity, and pupil diameter responses to the perturbations were extracted, and averages across participants were computed. A template matching algorithm calculated scaling and stretching features that optimally fit the average to an individual response. These features were grouped based on test and modality to derive sympathetic and parasympathetic indices for this healthy population. Results A significant positive correlation (p = 0.000377) was found between sympathetic amplitude response and body mass index. Additionally, longer duration and larger amplitude sympathetic and longer duration parasympathetic responses occurred in afternoon testing sessions; larger amplitude parasympathetic responses occurred in morning sessions. Conclusions These results demonstrate the robustness and sensitivity of an algorithmic approach to extract multimodal responses from standard tests. This novel method of quantifying ANS function can be used for early diagnosis, measurement of disease progression, or treatment evaluation. Trial registration This study registered with Clinicaltrials.gov , identifier NCT04100486 . Registered September 24, 2019, https://www.clinicaltrials.gov/ct2/show/NCT04100486 .
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spelling doaj.art-7873f5f4ba864074ba533d93fb2941702022-12-21T21:53:03ZengBMCBioelectronic Medicine2332-88862021-08-017111710.1186/s42234-021-00075-7A method to quantify autonomic nervous system function in healthy, able-bodied individualsShubham Debnath0Todd J. Levy1Mayer Bellehsen2Rebecca M. Schwartz3Douglas P. Barnaby4Stavros Zanos5Bruce T. Volpe6Theodoros P. Zanos7Institute of Bioelectronic Medicine, Feinstein Institutes for Medical ResearchInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical ResearchDepartment of Psychiatry, Unified Behavioral Health Center and World Trade Center Health Program, Northwell HealthDepartment of Occupational Medicine, Epidemiology and Prevention, Northwell Health, Feinstein Institutes for Medical ResearchNorthwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical ResearchNorthwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical ResearchAbstract Background The autonomic nervous system (ANS) maintains physiological homeostasis in various organ systems via parasympathetic and sympathetic branches. ANS function is altered in common diffuse and focal conditions and heralds the beginning of environmental and disease stresses. Reliable, sensitive, and quantitative biomarkers, first defined in healthy participants, could discriminate among clinically useful changes in ANS function. This framework combines controlled autonomic testing with feature extraction during physiological responses. Methods Twenty-one individuals were assessed in two morning and two afternoon sessions over two weeks. Each session included five standard clinical tests probing autonomic function: squat test, cold pressor test, diving reflex test, deep breathing, and Valsalva maneuver. Noninvasive sensors captured continuous electrocardiography, blood pressure, breathing, electrodermal activity, and pupil diameter. Heart rate, heart rate variability, mean arterial pressure, electrodermal activity, and pupil diameter responses to the perturbations were extracted, and averages across participants were computed. A template matching algorithm calculated scaling and stretching features that optimally fit the average to an individual response. These features were grouped based on test and modality to derive sympathetic and parasympathetic indices for this healthy population. Results A significant positive correlation (p = 0.000377) was found between sympathetic amplitude response and body mass index. Additionally, longer duration and larger amplitude sympathetic and longer duration parasympathetic responses occurred in afternoon testing sessions; larger amplitude parasympathetic responses occurred in morning sessions. Conclusions These results demonstrate the robustness and sensitivity of an algorithmic approach to extract multimodal responses from standard tests. This novel method of quantifying ANS function can be used for early diagnosis, measurement of disease progression, or treatment evaluation. Trial registration This study registered with Clinicaltrials.gov , identifier NCT04100486 . Registered September 24, 2019, https://www.clinicaltrials.gov/ct2/show/NCT04100486 .https://doi.org/10.1186/s42234-021-00075-7
spellingShingle Shubham Debnath
Todd J. Levy
Mayer Bellehsen
Rebecca M. Schwartz
Douglas P. Barnaby
Stavros Zanos
Bruce T. Volpe
Theodoros P. Zanos
A method to quantify autonomic nervous system function in healthy, able-bodied individuals
Bioelectronic Medicine
title A method to quantify autonomic nervous system function in healthy, able-bodied individuals
title_full A method to quantify autonomic nervous system function in healthy, able-bodied individuals
title_fullStr A method to quantify autonomic nervous system function in healthy, able-bodied individuals
title_full_unstemmed A method to quantify autonomic nervous system function in healthy, able-bodied individuals
title_short A method to quantify autonomic nervous system function in healthy, able-bodied individuals
title_sort method to quantify autonomic nervous system function in healthy able bodied individuals
url https://doi.org/10.1186/s42234-021-00075-7
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