Evidence map›Paper›PMID 26631145›Full record

ArticleJournal of neurophysiology2016

Transfer of tactile perceptual learning to untrained neighboring fingers reflects natural use relationships.

Harriet Dempsey-Jones, Vanessa Harrar, Jonathan Oliver, Heidi Johansen-Berg, Charles Spence, Tamar R Makin

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Transfer of Tactile Learning to Untrained Body Parts: Emerging Cortical Mechanisms.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2025
    Review
  6. Review
  7. Transfer of Tactile Learning from Trained to Untrained Body Parts Supported by Cortical Coactivation in Primary Somatosensory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Mechanistic determinants of effector-independent motor memory encoding.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Deep Neural Networks for Modeling Visual Perceptual Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  19. Article
  20. 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

6 authors.

Harriet Dempsey-JonesFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; School of Psychology, University of Queensland, Brisbane, Australia;ORCID http://orcid.org/0000-0002-9360-7842
Vanessa HarrarSchool of Optometry, University of Montreal, Montreal, Quebec, Canada; and Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
Jonathan OliverDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
Heidi Johansen-BergFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom;
Charles SpenceDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
Tamar R MakinFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; tamar.makin@ndcn.ox.ac.uk.

Funding

Wellcome Trust 090955Wellcome Trust 104128Wellcome Trust 104128/Z/14/Z
6 · The paper itself

Abstract

Tactile learning transfers from trained to untrained fingers in a pattern that reflects overlap between the representations of fingers in the somatosensory system (e.g., neurons with multifinger receptive fields). While physical proximity on the body is known to determine the topography of somatosensory representations, tactile coactivation is also an established organizing principle of somatosensory topography. In this study we investigated whether tactile coactivation, induced by habitual inter-finger cooperative use (use pattern), shapes inter-finger overlap. To this end, we used psychophysics to compare the transfer of tactile learning from the middle finger to its adjacent fingers. This allowed us to compare transfer to two fingers that are both physically and cortically adjacent to the middle finger but have differing use patterns. Specifically, the middle finger is used more frequently with the ring than with the index finger. We predicted this should lead to greater representational overlap between the former than the latter pair. Furthermore, this difference in overlap should be reflected in differential learning transfer from the middle to index vs. ring fingers. Subsequently, we predicted temporary learning-related changes in the middle finger's representation (e.g., cortical magnification) would cause transient interference in perceptual thresholds of the ring, but not the index, finger. Supporting this, longitudinal analysis revealed a divergence where learning transfer was fast to the index finger but relatively delayed to the ring finger. Our results support the theory that tactile coactivation patterns between digits affect their topographic relationships. Our findings emphasize how action shapes perception and somatosensory organization.

Indexed as

LearningTouch PerceptionAdultFemaleFingersHumansMaleSomatosensory Cortexco-activationgeneralizationperceptual learningprimary somatosensory cortextopography

Identifiers

PMID26631145
PMCPMC4808091

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.