Evidence map›Paper›PMID 40083761›Full record

ArticleFrontiers in psychology2025

Investigation of the effect of a virtual reality-based imagery training model on muscle activation in athletes.

Fatih Bedir, Deniz Bedir, Hasan Hüseyin Yılmaz, Fatih Ağduman, İlhan Şen, Fatih Kıyıcı, Onur Erdem Korkmaz, Mustafa Onur Yıldız, Erkan Çelik

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Fatih BedirFaculty of Sport Science, Atatürk University, Erzurum, Türkiye.
Deniz BedirFaculty of Sport Science, Erzurum Technical University, Erzurum, Türkiye.
Hasan Hüseyin YılmazFaculty of Sport Science, Atatürk University, Erzurum, Türkiye.
Fatih AğdumanFaculty of Sport Science, Atatürk University, Erzurum, Türkiye.
İlhan ŞenFaculty of Sport Science, Atatürk University, Erzurum, Türkiye.
Fatih KıyıcıFaculty of Sport Science, Atatürk University, Erzurum, Türkiye.
Onur Erdem KorkmazSports Sciences Application and Research Center, Atatürk University, Erzurum, Türkiye.
Mustafa Onur YıldızFaculty of Medicine, Samsun University, Erzurum, Türkiye.
Erkan ÇelikFaculty of Sport Science, Atatürk University, Erzurum, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the field of sports psychology, imagery training plays a significant role in enhancing athletes' mental preparation and optimizing sports performance. This study aims to investigate the effects of the Virtual Reality-Based Imagery (VRBI) training model on muscle activation and kinesthetic motor imagery skills in athletes. Specifically, the study compares the VRBI model with traditional imagery methods, including Visual Motor Behavior Practice (VMBP) and Video Modeling (VM), to determine its effectiveness in improving neuromuscular responses. Methods: A quasi-experimental design with repeated measures was employed, involving 30 bodybuilders and fitness athletes who were randomly assigned to VRBI, VMBP+VM, and control groups. Muscle activation was measured using surface electromyography (sEMG) across a 12-week intervention period. The intervention protocols included progressive relaxation, video modeling, and imagery exercises tailored to enhance kinesthetic motor imagery skills. Results: The results revealed that the VRBI model significantly increased muscle activation levels and kinesthetic motor imagery skills compared to both the VMBP+VM and control groups ( Discussion and conclusion: The VRBI model offers a more effective approach to enhancing muscle activation and kinesthetic motor imagery skills in athletes. These findings highlight the potential of VRBI as a valuable tool for optimizing sports performance and accelerating peak performance achievement.

Indexed as

imagery trainingmuscle activationpeak performancePETTLEPvirtual reality

Identifiers

PMID40083761
PMCPMC11905993

What OpenQuestion holds

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LicenceCC BY
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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.