Evidence map›Paper›PMID 36174027›Full record

ArticlePloS one2022

Rapid assessment of hand reaching using virtual reality and application in cerebellar stroke.

E L Isenstein, T Waz, A LoPrete, Y Hernandez, E J Knight, A Busza, D Tadin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

7 authors at 4 institutions in 1 country.

E L IsensteinDepartment of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, United States of America.ORCID 0000-0002-2486-6162
T WazDepartment of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, United States of America.
A LoPreteCenter for Visual Science, University of Rochester, Rochester, NY, United States of America.ORCID 0000-0001-5387-7779
Y HernandezDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, United States of America.
E J KnightDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, United States of America.
A BuszaDepartment of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, United States of America.
D TadinDepartment of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, United States of America.
University of Rochester · USAmerican University · USCity College of New York · USUniversity of Rochester Medical Center · US

Funding

University of Rochester Mentoring Environment: Nurturing Training Opportunities in Research (UR-MENTOR)T32GM007356 · NIGMS · UNIVERSITY OF ROCHESTER · PI O'BANION, M. KERRY · 1985 to 2023
$15.1M
Neurorehabilitation and Restorative Neuroscience NetworkK12HD093427 · NICHD · GEORGETOWN UNIVERSITY · PI BREGMAN, BARBARA S, DROMERICK, ALEXANDER W · 2017 to 2021
$3.9M
NICHD NIH HHS K12 HD093427NIGMS NIH HHS T32 GM007356
6 · The paper itself

Abstract

The acquisition of sensory information about the world is a dynamic and interactive experience, yet the majority of sensory research focuses on perception without action and is conducted with participants who are passive observers with very limited control over their environment. This approach allows for highly controlled, repeatable experiments and has led to major advances in our understanding of basic sensory processing. Typical human perceptual experiences, however, are far more complex than conventional action-perception experiments and often involve bi-directional interactions between perception and action. Innovations in virtual reality (VR) technology offer an approach to close this notable disconnect between perceptual experiences and experiments. VR experiments can be conducted with a high level of empirical control while also allowing for movement and agency as well as controlled naturalistic environments. New VR technology also permits tracking of fine hand movements, allowing for seamless empirical integration of perception and action. Here, we used VR to assess how multisensory information and cognitive demands affect hand movements while reaching for virtual targets. First, we manipulated the visibility of the reaching hand to uncouple vision and proprioception in a task measuring accuracy while reaching toward a virtual target (n = 20, healthy young adults). The results, which as expected revealed multisensory facilitation, provided a rapid and a highly sensitive measure of isolated proprioceptive accuracy. In the second experiment, we presented the virtual target only briefly and showed that VR can be used as an efficient and robust measurement of spatial memory (n = 18, healthy young adults). Finally, to assess the feasibility of using VR to study perception and action in populations with physical disabilities, we showed that the results from the visual-proprioceptive task generalize to two patients with recent cerebellar stroke. Overall, we show that VR coupled with hand-tracking offers an efficient and adaptable way to study human perception and action.

Indexed as

StrokeVirtual RealityHandHumansProprioceptionUpper ExtremityYoung Adult

Identifiers

PMID36174027
PMCPMC9522266
OpenAlexW4297946188

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.