Evidence map›Paper›PMID 36260388›Full record

ArticleJMIR serious games2022

Virtual Reality Technology in Cognitive Rehabilitation Application: Bibliometric Analysis.

Danni He, Shihua Cao, Yuchao Le, Mengxin Wang, Yanfei Chen, Beiying Qian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR serious games, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
–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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

6 authors.

Danni HeSchool of Nursing, Hangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0002-0748-0655
Shihua CaoNursing Department, Hangzhou Normal University Qianjiang College, Hangzhou, China.ORCID https://orcid.org/0000-0002-9391-2345
Yuchao LeSchool of Nursing, Hangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0002-4974-214X
Mengxin WangSchool of Nursing, Hangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0003-2106-6001
Yanfei ChenSchool of Nursing, Hangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0001-9858-1381
Beiying QianSchool of Nursing, Hangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0002-8086-3206

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, with the development of computer science and medical science, virtual reality (VR) technology has become a promising tool for improving cognitive function. Research on VR-based cognitive training has garnered increasing attention.

objectiveThis study aimed to investigate the application status, research hot spots, and emerging trends of VR in cognitive rehabilitation over the past 20 years.

methodsArticles on VR-based cognitive rehabilitation from 2001 to 2021 were retrieved from the Web of Science Core Collection. CiteSpace software was used for the visual analysis of authors and countries or regions, and Scimago Graphica software was used for the geographic visualization of published countries or regions. Keywords were clustered using the gCLUTO software.

resultsA total of 1259 papers were included. In recent years, research on the application of VR in cognitive rehabilitation has been widely conducted, and the annual publication of relevant literature has shown a positive trend. The main research areas include neuroscience and neurology, psychology, computer science, and rehabilitation. The United States ranked first with 328 papers, and Italy ranked second with 140 papers. Giuseppe Riva, an Italian academic, was the most prolific author with 29 publications. The most frequently cited reference was "Using Reality to Characterize Episodic Memory Profiles in Amnestic Mild Cognitive Impairment and Alzheimer's Disease: Influence of Active and Passive Encoding." The most common keywords used by researchers include "virtual reality," "cognition," "rehabilitation," "performance," and "older adult." The largest source of research funding is from the public sector in the United States.

conclusionsThe bibliometric analysis provided an overview of the application of VR in cognitive rehabilitation. VR-based cognitive rehabilitation can be integrated into multiple disciplines. We conclude that, in the context of the COVID-19 pandemic, the development of VR-based telerehabilitation is crucial, and there are still many problems that need to be addressed, such as the lack of consensus on treatment methods and the existence of safety hazards.

Indexed as

bibliometric analysisCiteSpacecognitive disordercognitive rehabilitationgCLUTOrehabilitationvirtual realityvisual content analysis

Identifiers

PMID36260388
PMCPMC9631168

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.