Evidence map›Paper›PMID 37194954›Full record

ReviewJournal of neurophysiology2023

Investigating and acquiring motor expertise using virtual reality.

Madhur Mangalam, Mathew Yarossi, Mariusz P Furmanek, John W Krakauer, Eugene Tunik

Abstract readReview
In one paragraph

Review 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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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.

Madhur MangalamDepartment of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, Massachusetts, United States.ORCID 0000-0001-6369-0414
Mathew YarossiDepartment of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, Massachusetts, United States.ORCID 0000-0003-1564-2324
Mariusz P FurmanekDepartment of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, Massachusetts, United States.ORCID 0000-0002-8797-1154
John W KrakauerDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Eugene TunikDepartment of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, Massachusetts, United States.

Funding

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual EnvironmentsR01HD058301 · NICHD · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI ADAMOVICH, SERGEI V, MERIANS, ALMA S · 2009 to 2021
$4.7M
Planning and Updating in Frontoparietal Networks for GraspingR01NS085122 · NINDS · RBHS-SCHOOL/ HEALTH RELATED PROFESSIONS · PI ADAMOVICH, SERGEI V, TUNIK, EUGENE · 2014 to 2025
$3.2M
NICHD NIH HHS R01 HD058301NINDS NIH HHS R01 NS085122
6 · The paper itself

Abstract

After just months of simulated training, on January 19, 2019 a 23-year-old E-sports pro-gamer, Enzo Bonito, took to the racetrack and beat Lucas di Grassi, a Formula E and ex-Formula 1 driver with decades of real-world racing experience. This event raised the possibility that practicing in virtual reality can be surprisingly effective for acquiring motor expertise in real-world tasks. Here, we evaluate the potential of virtual reality to serve as a space for training to expert levels in highly complex real-world tasks in time windows much shorter than those required in the real world and at much lower financial cost without the hazards of the real world. We also discuss how VR can also serve as an experimental platform for exploring the science of expertise more generally.

Indexed as

Motor SkillsVirtual RealityHumansdeliberate practiceexpert performancemotor learningskilltask performance

Identifiers

PMID37194954
PMCPMC10281781

What OpenQuestion holds

Textmetadata
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.