Unified measures quantifying intensity and similarity of pain and somatosensory percepts

We propose novel and unifying measures to quantify the similarity and intensity of pain maps and somatosensory percepts. These measures are generalizable and applicable to any application of somatosensory maps, resulting in improved pain characterization within healthcare and better understanding of the needs and progression of patients experiencing pain. Across somatosensory and pain literature, there exist several methods of characterizing the location and extent of perceived sensations, and quantifying how these sensory maps may differ. However, these measures of somatosensory intensity and similarity can give non-unique results, creating challenges in literature review and meta-analysis across different methods. In this paper, we propose novel and unifying measures to quantify the similarity and intensity of pain maps and somatosensory percepts. These measures are generalizable and can be applied to any application of somatosensory maps and are usable with both discretized and free-hand drawings in both two-dimensional and three-dimensional representations. Somatosensory percept intensity (SPI) is inspired by Piper’s law, which describes the phenomenon of incomplete spatial summation wherein changes in pain area do not yield linearly proportional changes in perceived intensity. Somatosensory percept deviation (SPD) is derived from optimal transport theory, which quantifies differences between two probability distributions or somatosensory maps. Mathematical derivations for both measures are provided. The utility of these measures is demonstrated using data from two studies, one characterizing elicited somatosensory percepts, and one investigating neuropathic pain drawings. The proposed measures strongly agree with the validation studies, illustrating their potential as agnostic measures for characterizing somatosensory percepts in studies and meta-analyses. Ultimately, our work yields powerful unified measures for use in the fields of perception and pain and may aid in improved pain characterization within healthcare, granting a better understanding of the needs and progression of patients experiencing pain. NEW & NOTEWORTHY We propose novel and unifying measures to quantify the similarity and intensity of pain maps and somatosensory percepts. These measures are generalizable and applicable to any application of somatosensory maps, resulting in improved pain characterization within healthcare and better understanding of the needs and progression of patients experiencing pain.

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Publication Details

Journal
Journal of Neurophysiology
Published
2025-06-16
DOI
https://doi.org/10.1152/jn.00031.2025
Primary Topic
Pain Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Unified measures quantifying intensity and similarity of pain and somatosensory percepts

Eric J. Earley, Malin Ramne, Johan Wessberg
Journal of Neurophysiology
Pain Mechanisms and Treatments
article

Unified measures quantifying intensity and similarity of pain and somatosensory percepts

Eric J. Earley, Malin Ramne, Johan Wessberg
article en

Abstract

We propose novel and unifying measures to quantify the similarity and intensity of pain maps and somatosensory percepts. These measures are generalizable and applicable to any application of somatosensory maps, resulting in improved pain characterization within healthcare and better understanding of the needs and progression of patients experiencing pain. Across somatosensory and pain literature, there exist several methods of characterizing the location and extent of perceived sensations, and quantifying how these sensory maps may differ. However, these measures of somatosensory intensity and similarity can give non-unique results, creating challenges in literature review and meta-analysis across different methods. In this paper, we propose novel and unifying measures to quantify the similarity and intensity of pain maps and somatosensory percepts. These measures are generalizable and can be applied to any application of somatosensory maps and are usable with both discretized and free-hand drawings in both two-dimensional and three-dimensional representations. Somatosensory percept intensity (SPI) is inspired by Piper’s law, which describes the phenomenon of incomplete spatial summation wherein changes in pain area do not yield linearly proportional changes in perceived intensity. Somatosensory percept deviation (SPD) is derived from optimal transport theory, which quantifies differences between two probability distributions or somatosensory maps. Mathematical derivations for both measures are provided. The utility of these measures is demonstrated using data from two studies, one characterizing elicited somatosensory percepts, and one investigating neuropathic pain drawings. The proposed measures strongly agree with the validation studies, illustrating their potential as agnostic measures for characterizing somatosensory percepts in studies and meta-analyses. Ultimately, our work yields powerful unified measures for use in the fields of perception and pain and may aid in improved pain characterization within healthcare, granting a better understanding of the needs and progression of patients experiencing pain. NEW & NOTEWORTHY We propose novel and unifying measures to quantify the similarity and intensity of pain maps and somatosensory percepts. These measures are generalizable and applicable to any application of somatosensory maps, resulting in improved pain characterization within healthcare and better understanding of the needs and progression of patients experiencing pain.

Journal of NeurophysiologyVol. 134(1)
University of Colorado Anschutz Medical Campus (US), Chalmers University of Technology (SE), University of Gothenburg (SE)
Stiftelsen Promobilia, IngaBritt och Arne Lundbergs Forskningsstiftelse, Vetenskapsrådet
Peace, Justice and strong institutions
Openalex Percentile: Top 82%
Pain Mechanisms and Treatments
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