Evidence map›Paper›PMID 41957378›Full record

ArticleScientific reports2026

A VR-based experimental system for studying mirror visual feedback effects on cross-education.

Anurag Gupta, Varadhan Skm

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Anurag GuptaDepartment of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, 600036, Chennai, Tamil Nadu, India. tech.anurag01@gmail.com.ORCID http://orcid.org/0000-0002-9163-0870
Varadhan SkmDepartment of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, 600036, Chennai, Tamil Nadu, India.

Funding

Department of Science and Technology, Ministry of Science and Technology, India DST/CSRI/2017/87Prime Minister's Research Fellowship (PMRF), Ministry of Education, Government of India 2500902
6 · The paper itself

Abstract

Cross-education, a phenomenon where training one limb improves performance in the untrained limb, can be enhanced through mirror visual feedback (MVF), underpinning its potential for rehabilitating hemiparetic patients. While MVF-mediated enhancement is documented for simple motor tasks, its effectiveness in complex, fine finger movements remains underexplored. To address this gap, we developed a novel experimental setup to investigate MVF effects on cross-education for a unique typing task involving fine finger movements. The setup comprises three tightly synchronized systems: A novel typing device to implement the typing task, an IMU-based system for accurate real-time hand movement tracking, and a virtual reality (VR) system that provides normal or mirrored real-time replication of hand movements by virtual hands. Additionally, several methodologies and algorithms critical to the experimental task were developed: (1) Constructing participant-specific virtual hand models to accurately replicate thumb-to-phalanx touches. (2) An intuitive approach to manipulating quaternions for coordinate transformation and mirror animation. (3) Millisecond-level synchronization of movement and typing data. (4) Preventing false key press/release detections by filtering noise specific to the typing device. (5) Correcting reference frame misalignment between IMU sensors and their respective hand segments. Some of these methodologies contribute valuable tools to the hand biomechanics and VR research communities. Technical validation of the setup demonstrated robust real-time performance, millisecond-level data synchronization, and precise hand animation, confirming the system’s readiness for investigating MVF-based cross-education.

Indexed as

Hand animationHand kinematicsInertial measurement unitIntermanual transferMirror visual feedbackVirtual reality

Identifiers

PMID41957378
PMCPMC13069056

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.