Evidence map›Paper›PMID 40902500›Full record

ArticleJournal of the mechanical behavior of biomedical materials2025

Strain-based biomarkers at the skin surface differentiate asymmetries in soft tissue mobility associated with myofascial pain.

Anika R Kao, Terry M Loghmani, Gregory J Gerling

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Anika R KaoMechanical and Aerospace Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, USA; Systems and Information Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, USA.
Terry M LoghmaniPhysical Therapy, School of Health and Human Sciences, Indiana University, Indianapolis, IN, USA.
Gregory J GerlingMechanical and Aerospace Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, USA; Systems and Information Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, USA. Electronic address: gg7h@virginia.edu.

Funding

NeuronS_MATTR Network: Neuronal & Systems Mechanisms of Affective Touch & Therapeutic Tissue Manipulation Research NetworkU24AT011970 · NCCIH · UNIVERSITY OF CALIFORNIA BERKELEY · PI Gregory John Gerling, Ellen A Lumpkin · 2022 to 2026
$3.2M
CRCNS: Computational modeling to predict afferent firing to deep pressure touchR01AT013186 · NCCIH · UNIVERSITY OF VIRGINIA · PI GERLING, GREGORY JOHN · 2024 to 2025
$607k
Developing A Quantitative, Multiscale Imaging Approach to Identify Peripheral Mechanisms of Noxious and Innocuous Force Encoding in Mouse ModelsR21AT011980 · NCCIH · UNIVERSITY OF VIRGINIA · PI GERLING, GREGORY JOHN, LUMPKIN, ELLEN A · 2022 to 2023
$433k
NCCIH NIH HHS R01 AT013186NCCIH NIH HHS R21 AT011980NCCIH NIH HHS U24 AT011970
6 · The paper itself

Abstract

Soft tissue manipulation is used widely to assess myofascial tissue qualitatively but lacks objective measures. To quantify the mobility of myofascial tissue, this effort derives optical biomarkers from the skin surface, as observed in the hands-on workflow of clinicians. Digital image correlation using three high-resolution cameras captures the cervicothoracic region as a clinician deeply engages and stretches the skin and myofascial tissue. Nineteen participants were positioned prone and marked with semi-permanent tattoos, optimized for tracking tissue without compromising its natural mechanics. Tissue mobility was then clinically assessed both bilaterally (left and right sides of body) and directionally (superior and inferior directions of pull). Eleven strain-based biomarkers were derived per tissue pull. With participants' data aggregated, the sides of the body were indistinct, though pull in the superior direction was distinct from that in the inferior direction. Given substantial variance in the biomarkers' absolute values between participants, we then evaluated each person individually. Therein, distinct tissue behaviors were observed. In particular, bilateral differences were identified in nine participants, eight of whom reported discrepancies in pain between their left and right sides, while directional distinctions were observed in sixteen participants, as expected given similar anatomical tissue structures between individuals. In our sample of participants, optical skin surface tracking and derived strain-based biomarkers identified asymmetrical distinctions in bilateral mobility, which correspond with self-reported pain. Such objective assessment of myofascial tissue stiffness is important in monitoring and treating chronic musculoskeletal pain, which afflicts half of the U.S. adult population.

Indexed as

Myofascial Pain SyndromesSkinStress, MechanicalAdultBiomarkersBiomechanical PhenomenaFemaleHumansMaleMiddle AgedSurface PropertiesYoung AdultBiomarkersDigital image correlationManual therapyMassageSkin mechanicsSoft tissue manipulationTouch

Identifiers

PMID40902500
PMCPMC12430984

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.