Evidence map›Paper›PMID 40342866›Full record

ArticleArXiv2025

MovementVR: An open-source tool for the study of motor control and learning in virtual reality.

Cristina Rossi, Rini Varghese, Amy J Bastian

Abstract readPreprint
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Cristina RossiDepartment of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, 3 USA.
Rini VargheseDepartment of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, 3 USA.
Amy J BastianDepartment of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, 3 USA.

Funding

Research Training in Rehabilitation for Brain Injury and Neurological DisabilityT32HD007414 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Amy J. Bastian · 1991 to 2026
$6.3M
Development of Mechanisms Underlying Human Motor LearningR35NS122266 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Amy J. Bastian · 2021 to 2026
$4.1M
NICHD NIH HHS T32 HD007414NINDS NIH HHS R35 NS122266
6 · The paper itself

Abstract

Virtual reality (VR) is increasingly used to enhance the ecological validity of motor control and learning studies by providing immersive, interactive environments with precise motion tracking. However, designing realistic VR-based motor tasks remains complex, requiring advanced programming skills and limiting accessibility in research and clinical settings. MovementVR is an open-source platform designed to address these challenges by enabling the creation of customizable, naturalistic reaching tasks in VR without coding expertise. It integrates physics-based hand-object interactions, real-time hand tracking, and flexible experimental paradigms, including motor adaptation and reinforcement learning. The intuitive graphical user interface (GUI) allows researchers to customize task parameters and paradigm structure. Unlike existing platforms, MovementVR eliminates the need for scripting while supporting extensive customization and preserving ecological validity and realism. In addition to reducing technical barriers, MovementVR lowers financial constraints by being compatible with consumer-grade VR headsets. It is freely available with comprehensive documentation, facilitating broader adoption in movement research and rehabilitation.

Identifiers

PMID40342866
PMCPMC12060989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.