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Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity

The study of pain requires a balance between subjective methods that rely on self-reports and complementary objective biometrics that ascertain physical signals associated with subjective accounts. There are at present no objective scales that enable the personalized assessment of pain, as most work...

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Autores principales: Ryu, Jihye, Bar-Shalita, Tami, Granovsky, Yelena, Weissman-Fogel, Irit, Torres, Elizabeth B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913075/
https://www.ncbi.nlm.nih.gov/pubmed/33540769
http://dx.doi.org/10.3390/jpm11020093
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author Ryu, Jihye
Bar-Shalita, Tami
Granovsky, Yelena
Weissman-Fogel, Irit
Torres, Elizabeth B.
author_facet Ryu, Jihye
Bar-Shalita, Tami
Granovsky, Yelena
Weissman-Fogel, Irit
Torres, Elizabeth B.
author_sort Ryu, Jihye
collection PubMed
description The study of pain requires a balance between subjective methods that rely on self-reports and complementary objective biometrics that ascertain physical signals associated with subjective accounts. There are at present no objective scales that enable the personalized assessment of pain, as most work involving electrophysiology rely on summary statistics from a priori theoretical population assumptions. Along these lines, recent work has provided evidence of differences in pain sensations between participants with Sensory Over Responsivity (SOR) and controls. While these analyses are useful to understand pain across groups, there remains a need to quantify individual differences more precisely in a personalized manner. Here we offer new methods to characterize pain using the moment-by-moment standardized fluctuations in EEG brain activity centrally reflecting the person’s experiencing temperature-based stimulation at the periphery. This type of gross data is often disregarded as noise, yet here we show its utility to characterize the lingering sensation of discomfort raising to the level of pain, individually, for each participant. We show fundamental differences between the SOR group in relation to controls and provide an objective account of pain congruent with the subjective self-reported data. This offers the potential to build a standardized scale useful to profile pain levels in a personalized manner across the general population.
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spelling pubmed-79130752021-02-28 Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity Ryu, Jihye Bar-Shalita, Tami Granovsky, Yelena Weissman-Fogel, Irit Torres, Elizabeth B. J Pers Med Article The study of pain requires a balance between subjective methods that rely on self-reports and complementary objective biometrics that ascertain physical signals associated with subjective accounts. There are at present no objective scales that enable the personalized assessment of pain, as most work involving electrophysiology rely on summary statistics from a priori theoretical population assumptions. Along these lines, recent work has provided evidence of differences in pain sensations between participants with Sensory Over Responsivity (SOR) and controls. While these analyses are useful to understand pain across groups, there remains a need to quantify individual differences more precisely in a personalized manner. Here we offer new methods to characterize pain using the moment-by-moment standardized fluctuations in EEG brain activity centrally reflecting the person’s experiencing temperature-based stimulation at the periphery. This type of gross data is often disregarded as noise, yet here we show its utility to characterize the lingering sensation of discomfort raising to the level of pain, individually, for each participant. We show fundamental differences between the SOR group in relation to controls and provide an objective account of pain congruent with the subjective self-reported data. This offers the potential to build a standardized scale useful to profile pain levels in a personalized manner across the general population. MDPI 2021-02-02 /pmc/articles/PMC7913075/ /pubmed/33540769 http://dx.doi.org/10.3390/jpm11020093 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ryu, Jihye
Bar-Shalita, Tami
Granovsky, Yelena
Weissman-Fogel, Irit
Torres, Elizabeth B.
Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity
title Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity
title_full Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity
title_fullStr Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity
title_full_unstemmed Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity
title_short Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity
title_sort personalized biometrics of physical pain agree with psychophysics by participants with sensory over responsivity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913075/
https://www.ncbi.nlm.nih.gov/pubmed/33540769
http://dx.doi.org/10.3390/jpm11020093
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