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Mapping Research on Virtual Reality for Balance, Coordination, and Motor Rehabilitation: A Bibliometric Analysis with Topic Modeling

A dispatch from PubMed — filed

Virtual reality (VR) has been increasingly adopted as a digital tool in rehabilitation for balance training, coordination improvement, and motor recovery, yet the literature remains dispersed across clinical rehabilitation, exercise-based interventions, and broader motor-related applications. This fragmentation makes it difficult to determine how the field has evolved and where research emphasis has shifted....

Clinical Takeaway

No actionable change — this is a bibliometric mapping study that describes publication trends rather than providing clinical evidence to guide VR rehabilitation practice.

Why It Matters

Understanding where VR rehabilitation research is concentrated — and where it is fragmented — can help guide future study design and highlight gaps relevant to vestibular and balance rehabilitation in audiology.

Key Points
  1. 01Bibliometric + topic-modeling analysis mapped the VR balance/motor rehabilitation literature.
  2. 02Research in this area is highly dispersed across disciplines with no dominant cluster.
  3. 03Topic modeling identified thematic groupings within a scattered literature base.
  4. 04Findings highlight the need for more coordinated, cross-disciplinary research efforts.
  5. 05Peripheral relevance to audiology via vestibular rehabilitation applications of VR.
Claims & Evidence

Research on virtual reality for balance, coordination, and motor rehabilitation is dispersed across disciplines.

studysupported
Research metadata
PMID
42072967
DOI
10.3390/healthcare14081067.
Journal
Healthcare
Publication type
review
Evidence level
na
Population
Published literature on VR for balance, coordination, and motor rehabilitation (no human participants directly)
Intervention
Bibliometric and topic-modeling analysis of VR rehabilitation literature

Primary outcomes

Mapping of publication trends in VR balance/motor rehabilitation research; Identification of thematic topic clusters via topic modeling

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