Evidence map›Paper›PMID 40658879›Full record

ArticleJMIR serious games2025

A Virtual Reality Force Control Training System on Brain Activation: Functional Near-Infrared Spectroscopy (fNIRS) Study.

Luigi Gan, Chien-Ju Lin, Hsiao-Feng Chieh, Kai-Nan An, Fong-Chin Su

Abstract read
In one paragraph

Article in JMIR serious games, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Luigi GanDepartment of Biomedical Engineering, National Cheng Kung University, No. 1, Dasyue Rd, East District, Tainan, 701, Taiwan, 886 062757575 ext 63422.ORCID http://orcid.org/0009-0001-7177-1748
Chien-Ju LinMedical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0001-9571-8610
Hsiao-Feng ChiehMedical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0001-8844-8026
Kai-Nan AnMedical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0003-4105-9167
Fong-Chin SuDepartment of Biomedical Engineering, National Cheng Kung University, No. 1, Dasyue Rd, East District, Tainan, 701, Taiwan, 886 062757575 ext 63422.ORCID http://orcid.org/0000-0002-3870-4842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aging can bring upon several effects that can hinder one's quality of life. One of the effects is the decline in one's ability to perform activities of daily living, which is caused by the loss of hand function due to aging. To mitigate this, several virtual reality (VR)-based training or rehabilitation systems that use hand tracking were developed. Although these systems are effective, immersive, and can promote motivation, they are mostly limited to providing range of motion exercises. The addition of a force control component to the hand tracking of these systems could make them even more effective at improving or restoring hand function, as the majority of activities of daily living require a degree of force control. Objective: This study aimed to compare the effects of 2 VR input systems: regular hand tracking and the novel VR input system in this study, which incorporate force control to regular hand tracking on the brain activity of younger and older adults. The degree of cortical activity during a training or rehabilitation task is linked to better functional outcomes and improvements of neuroplasticity. Methods: Twelve younger adults (mean age 25.00, SD 4.50 years) and 12 older adults (mean age 73.00, SD 3.6 years) were recruited to play a game specifically developed for this study using 2 VR input systems. Brain activity during gameplay was recorded using functional near-infrared spectroscopy over the following cortical regions: prefrontal cortex (PFC), premotor cortex (PMC), supplementary motor area (SMA), and primary motor cortex (M1). Results: Compared with the regular hand-tracking system, adding a force control component increased average oxygenated hemoglobin (HbO) concentrations and decreased deoxygenated hemoglobin (HbR) concentrations in key brain regions. In young adults, these changes were observed in the right PMC and right M1. In older adults, higher HbO and lower HbR concentrations appeared in the right PFC, bilateral M1, and right SMA (HbR only). The force control component also led to more widespread activity across all ROIs. Conclusions: The novel input system in this study can be used for improving or restoring hand function. The results of this study can be used as a reference for the development of better VR-based training or rehabilitation systems.

Indexed as

agingelderexerciseexercisesfunctional near-infrared spectroscopygeriatricmotorneural plasticityolder adultsPFCpinch force controlPMCprefrontal cortexpremotor cortexrehabilitationvirtual realityVR

Identifiers

PMID40658879
PMCPMC12279221

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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.