# VR-Based Anxiety Reduction Framework for Pediatric MRI Using Gamified Biofeedback

**Authors:** David M. Roberts, Jingwei Chen, Laura K. Martinez, Thomas J. Green, Rachel A. Wilson

PMC · DOI: 10.21203/rs.3.rs-7737172/v1 · Research Square · 2025-09-30

## TL;DR

A VR system with biofeedback and games helps reduce anxiety in children during MRI scans, improving their cooperation and image quality.

## Contribution

A novel VR framework combining gamification and real-time biofeedback to reduce pediatric MRI anxiety.

## Key findings

- The VR-biofeedback group showed a 41% reduction in pre-scan anxiety compared to traditional training.
- Scan motion artifacts were reduced by 35% using the VR system.
- Task completion rates improved by 28% in the VR-based training group.

## Abstract

Magnetic resonance imaging (MRI) procedures often induce anxiety in pediatric patients, reducing compliance and image quality. We present a VR-based anxiety reduction framework that integrates gamified environments with real-time biofeedback to enhance MRI training for children. The system employs a Unity-based VR game simulating the MRI scanner environment, augmented with adaptive challenges controlled by physiological signals such as heart rate variability (HRV) and galvanic skin response (GSR). A reinforcement learning module dynamically adjusts task difficulty to maintain engagement while gradually exposing children to scanner-related sounds and postures. In a clinical study with 60 participants aged 8–15, the VR-biofeedback group showed a 41% reduction in pre-scan anxiety scores (measured by m-STAIC) compared with 17% in traditional video training. Scan motion artifacts were reduced by 35%, and task completion rates improved by 28%. These findings indicate that gamified VR combined with biofeedback offers a powerful, scalable solution to improve pediatric MRI compliance and outcomes.

## Full-text entities

- **Diseases:** Anxiety (MESH:D001007)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

17 references — full list in the complete paper: https://tomesphere.com/paper/PMC12622186/full.md

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Source: https://tomesphere.com/paper/PMC12622186