Evidence map›Paper›PMID 39965643›Full record

ArticleJournal of the Royal Society, Interface2025

Local postural changes elicit extensive and diverse skin stretch around joints, on the trunk and the face.

Mia Rupani, Luke D Cleland, Hannes P Saal

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 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
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mia RupaniActive Touch Laboratory, School of Psychology, University of Sheffield, Sheffield, UK.
Luke D ClelandActive Touch Laboratory, School of Psychology, University of Sheffield, Sheffield, UK.ORCID 0000-0001-8486-2780
Hannes P SaalActive Touch Laboratory, School of Psychology, University of Sheffield, Sheffield, UK.ORCID 0000-0002-7544-0196

Funding

Leverhulme TrustMedical Research Council
6 · The paper itself

Abstract

Skin stretch, induced by bodily movements, offers a potential source of information about the conformation of the body that can be transmitted to the brain via stretch-sensitive mechanoreceptive neurons. While previous studies have primarily focused on skin stretch directly at joints, here we investigate the extent and complexity of natural skin stretch across various body regions, including the face and trunk. We used a quad-camera set-up to image large ink-based speckle patterns stamped on participants' skin and calculated the resulting stretch patterns on a millimetre scale during a range of natural poses. We observed that skin stretch associated with joint movement extends far beyond the joint itself, with knee flexion inducing stretch on the upper thigh. Large and uniform stretch patterns were found across the trunk, covering considerable portions of the skin. The face exhibited highly complex and non-uniform stretch patterns, potentially contributing to our capacity to control fine facial movements in the absence of traditional proprioceptors. Importantly, all regions demonstrated skin stretch in excess of mechanoreceptive thresholds, suggesting that behaviourally relevant skin stretch can occur anywhere on the body. These signals might provide the brain with valuable information about body state and conformation, potentially supplementing or even surpassing the capabilities of traditional proprioception.

Indexed as

FaceJointsPostureSkinSkin Physiological PhenomenaTorsoAdultFemaleHumansMaleMovementProprioceptionYoung Adultbody posturemechanoreceptionproprioceptionskin mechanics

Identifiers

PMID39965643
PMCPMC11835493

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.