Evidence map›Paper›PMID 36475891›Full record

ArticleJournal of neurophysiology2023

How virtual and mechanical coupling impact bimanual tracking.

Nuria Peña-Pérez, Jonathan Eden, Ekaterina Ivanova, Ildar Farkhatdinov, Etienne Burdet

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurophysiology, 2023. 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
0.7field-weighted citation impact, top 32% of its field
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, 6 citations in OpenAlex.

  1. Advancing human sensorimotor research through modular robotics: the case of the HRX-1.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
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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

5 authors at 3 institutions in 2 countries.

Nuria Peña-PérezSchool of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-4844-4685
Jonathan EdenMechanical Engineering Department, The University of Melbourne, Melbourne, Victoria, Australia.
Ekaterina IvanovaDepartment of Bioengineering, Imperial College of Science Technology and Medicine, London, United Kingdom.
Ildar FarkhatdinovSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.
Etienne BurdetDepartment of Bioengineering, Imperial College of Science Technology and Medicine, London, United Kingdom.ORCID 0000-0002-4427-1414
Imperial College London · GBQueen Mary University of London · GBThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bilateral training systems look to promote the paretic hand's use in individuals with hemiplegia. Although this is normally achieved using mechanical coupling (i.e., a physical connection between the hands), a virtual reality system relying on virtual coupling (i.e., through a shared virtual object) would be simpler to use and prevent slacking. However, it is not clear whether different coupling modes differently impact task performance and effort distribution between the hands. We explored how 18 healthy right-handed participants changed their motor behaviors in response to the uninstructed addition of mechanical coupling, and virtual coupling using a shared cursor mapped to the average hands' position. In a second experiment, we then studied the impact of connection stiffness on performance, perception, and effort imbalance. The results indicated that both coupling types can induce the hands to actively contribute to the task. However, the task asymmetry introduced by using a cursor mapped to either the left or right hand only modulated the hands' contribution when not mechanically coupled. The tracking performance was similar for all coupling types, independent of the connection stiffness, although the mechanical coupling was preferred and induced the hands to move with greater correlation. These findings suggest that virtual coupling can induce the hands to actively contribute to a task in healthy participants without hindering their performance. Further investigation on the coupling types' impact on the performance and hands' effort distribution in patients with hemiplegia could allow for the design of simpler training systems that promote the affected hand's use.

Indexed as

HemiplegiaPsychomotor PerformanceFunctional LateralityHandHand StrengthHumansTask Performance and Analysisbimanualcouplingredundancyvisuomotor tracking

Identifiers

PMID36475891
PMCPMC9844510
OpenAlexW4310945621

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.