Evidence map›Paper›PMID 37041455›Full record

ArticleCurrent topics in behavioral neurosciences2023

Virtual Reality for Motor and Cognitive Rehabilitation.

Anuja Darekar

Abstract read
PubMed Publisher
In one paragraph

Article in Current topics in behavioral neurosciences, 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

1 author.

Anuja DarekarRehabCare Solutions, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual Reality (VR) affords clinicians the ability to deliver safe, controlled, task-specific customised interventions that are enjoyable, motivating and engaging. Elements of training in VR comply with principles of learning implicated in new skill acquisition and re-learning skills post-neurological disorders. However, heterogeneity in the description of VR systems and the description and control of 'active' ingredients of interventions (like dosage, type of feedback, task specificity, etc.) have led to inconsistency in the synthesis and interpretation of evidence related to the effectiveness of VR-based interventions, particularly in post-stroke and Parkinson's Disease (PD) rehabilitation. This chapter attempts to describe VR interventions with respect to their compliance with principles of neurorehabilitation, with the goal of optimising interventions for effective training and facilitation of maximum functional recovery. This chapter also advocates using a uniform framework to describe VR systems to promote homogeneity in literature in order to help in the synthesis of evidence. An overview of the evidence revealed that VR systems are effective in mediating deficits in upper extremity, posture and gait function seen in people post-stroke and PD. Generally, interventions were more effective when they were delivered as an adjunct to conventional therapy and were customised for rehabilitation purposes, in addition to complying with principles of learning and neurorehabilitation. Although recent studies imply that their VR intervention is compliant with principles of learning, only a few explicitly describe how these principles are incorporated as 'active ingredients' of the intervention. Finally, VR interventions targeting community ambulation and cognitive rehabilitation are yet limited and therefore warrant attention.

Indexed as

Parkinson DiseaseStrokeStroke RehabilitationVirtual RealityCognitive TrainingHumansRecovery of FunctionCerebrovascular accidentsCognitionParkinson’s diseaseRehabilitationSensorimotor systemsVirtual reality

Identifiers

PMID37041455

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.