Evidence map›Paper›PMID 39127772›Full record

ArticleNature communications2024

Human tactile sensing and sensorimotor mechanism: from afferent tactile signals to efferent motor control.

Yuyang Wei, Andrew G Marshall, Francis P McGlone, Adarsh Makdani, Yiming Zhu, Lingyun Yan, Lei Ren, Guowu Wei

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

8 authors.

Yuyang WeiDepartment of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK.ORCID 0000-0002-3200-8598
Andrew G MarshallInstitute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L69 3BX, UK.ORCID 0000-0001-8273-7089
Francis P McGloneDepartment of Neuroscience and Biomedical Engineering, Aalto University, Otakaari 24, Helsinki, Finland.
Adarsh MakdaniSchool of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, L3 5UX, UK.ORCID 0000-0002-2192-3862
Yiming ZhuDepartment of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, M13 9PL, UK.ORCID 0000-0002-6853-1970
Lingyun YanDepartment of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, M13 9PL, UK.
Lei RenDepartment of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, M13 9PL, UK. lren@jlu.edu.cn.ORCID 0009-0006-5297-6728
Guowu WeiSchool of Science, Engineering and Environment, University of Salford, Manchester, M5 4WT, UK. g.wei@salford.ac.uk.ORCID 0000-0003-2613-902X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In tactile sensing, decoding the journey from afferent tactile signals to efferent motor commands is a significant challenge primarily due to the difficulty in capturing population-level afferent nerve signals during active touch. This study integrates a finite element hand model with a neural dynamic model by using microneurography data to predict neural responses based on contact biomechanics and membrane transduction dynamics. This research focuses specifically on tactile sensation and its direct translation into motor actions. Evaluations of muscle synergy during in -vivo experiments revealed transduction functions linking tactile signals and muscle activation. These functions suggest similar sensorimotor strategies for grasping influenced by object size and weight. The decoded transduction mechanism was validated by restoring human-like sensorimotor performance on a tendon-driven biomimetic hand. This research advances our understanding of translating tactile sensation into motor actions, offering valuable insights into prosthetic design, robotics, and the development of next-generation prosthetics with neuromorphic tactile feedback.

Indexed as

TouchBiomechanical PhenomenaFeedback, SensoryHandHand StrengthHumansMaleModels, NeurologicalMuscle, SkeletalRoboticsTouch Perception

Identifiers

PMID39127772
PMCPMC11316806

What OpenQuestion holds

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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.