A virtual reality-based self-guided training on identification of negative automatic thoughts in healthy adults: a mixed-methods feasibility study
Overview
This mixed-methods feasibility study evaluates a virtual reality-based self-guided training program designed to help healthy adults identify negative automatic thoughts, a key component of cognitive restructuring for depression. The resource details the intervention's structure, including psychological education and VR scenarios, alongside metrics for acceptability, safety, and skill acquisition among 20 participants. It is intended for researchers or clinicians interested in digital mental health tools and the preliminary technical feasibility of VR applications in this domain.
- ID
fc0cad997b09407e- Source org
- PubMed Central
- Author
- Bixi Yang (Shanghai Jiao Tong University), Chenxi Liao (Shanghai Jiao Tong University), Yuqing Yang (Shanghai Jiao Tong University), Binbin Shi (Shanghai Jiao Tong University), Caidi Zhang (Shanghai Jiao Tong University), Chunbo Li (Shanghai Jiao Tong University)
- Published
- 2024-11-27
- OA status
- gold
- DOI
- 10.3389/fpsyt.2024.1479207
- PMID
- Not recorded
- PMCID
- Not recorded
- Citations
- 2
Tags
Verification
- identityok via crossref · score 1 · checked_at unknown
- legitimacykeep via unknown · score 0.95 · checked_at unknown
- linkok via http-check · 2026-07-21T15:52:31.592259+00:00
Cite this entry
BibTeX
@article{allodium:fc0cad997b09407e,
title = {A virtual reality-based self-guided training on identification of negative automatic thoughts in healthy adults: a mixed-methods feasibility study},
author = {Bixi Yang and Chenxi Liao and Yuqing Yang and Binbin Shi and Caidi Zhang and Chunbo Li},
year = {2024},
journal = {PubMed Central},
doi = {10.3389/fpsyt.2024.1479207},
url = {https://doi.org/10.3389/fpsyt.2024.1479207}
}RIS
TY - JOUR TI - A virtual reality-based self-guided training on identification of negative automatic thoughts in healthy adults: a mixed-methods feasibility study AU - Yang, Bixi AU - Liao, Chenxi AU - Yang, Yuqing AU - Shi, Binbin AU - Zhang, Caidi AU - Li, Chunbo PY - 2024 PB - PubMed Central DO - 10.3389/fpsyt.2024.1479207 UR - https://doi.org/10.3389/fpsyt.2024.1479207 ER -
APA
Yang, B., Liao, C., Yang, Y., Shi, B., Zhang, C., & Li, C. (2024). A virtual reality-based self-guided training on identification of negative automatic thoughts in healthy adults: a mixed-methods feasibility study. PubMed Central. https://doi.org/10.3389/fpsyt.2024.1479207
Related entries
- How to Treat Depression With Low-Intensity Virtual Reality Interventions: Perspectives on Translating Cognitive Behavioral Techniques Into the Virtual Reality Modality and How to Make Anti-Depressive Use of Virtual Reality–Unique Experiences
- Virtual reality therapy for adolescent depression: a prospective observational study
- Applying Virtual Reality in Mindfulness Exercises for Emotion Regulation and Mental Health Among Inpatients With Behavioral Issues: A Feasibility Study
- A systematic review on mindfulness-based immersive interventions in depressive disorders
- The Role of Temporality in Virtual Reality Interventions for Depressive Episodes—A Scoping Review
- Standard CBT versus integrative and multimodal CBT assisted by virtual-reality for generalized anxiety disorder
- Virtual Reality Technology in Cognitive Behavioral Therapy Across Multiple Psychiatric Conditions: A Narrative Literature Review
- Imagery rescripting and cognitive restructuring for inpatients with moderate and severe depression – a controlled pilot study
- Efficacy of Virtual Reality–Based Mindfulness Interventions: Systematic Review and Meta-Analysis
- Efficacy of a Cognitive Behavioral Therapy–Based Online Self-Help Group for Depression and Suicide Ideation: Randomized Controlled Trial