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This study aims to evaluate the effectiveness of a VR-based relaxation breathing training with biofeedback compared to a non-biofeedback version in patients with anxiety disorders. The randomized controlled trial will include at least 30 participants (15 per group) diagnosed with an anxiety disorder (DSM-5 or ICD-10 criteria). The intervention will use BreezeTerraVR, a custom-built virtual reality (VR) application developed by VR research center team members at NIMH. This app provides training in deep relaxation breathing technique with or without biofeedback (BF - visual elements reflecting real-time breathing patterns measured via breathing belt) in a virtual nature environment. This study compares two subgroups of anxiety patients, both completing four 20-minute intervention sessions, two sessions with BF and two without BF (in randomized order).
This study will assess the feasibility of the VR intervention, estimate effect sizes, and provide preliminary insights into its impact on relaxation training in individuals with anxiety disorders.
This study is funded by the European Union's co-financed project "Research of Excellence on Digital Technologies and Wellbeing CZ.02.01.01/00/22_008/0004583."
Full description
This study evaluates the efficacy of a virtual reality (VR)-based relaxation intervention incorporating real-time respiratory biofeedback, delivered via a standalone Meta Quest 2 headset. This study uses a randomized crossover design in which all participants undergo two sessions of virtual reality (VR) relaxation with biofeedback, followed by two sessions without biofeedback, or vice versa. The order of conditions is randomized to control for order effects. The randomization is done via an online randomization tool.
The intervention utilizes a custom-developed application-BreezeTerraVR-designed by the research team at the Center for Virtual Reality Research in Mental Health and Neuroscience, part of the National Institute of Mental Health (NIMH), Czech Republic. BreezeTerraVR is a structured and modifiable VR application specifically built to facilitate training in slow-paced, rhythmic breathing, allowing flexible adjustments to the inhalation, exhalation, and breath-hold phases according to research needs or participant abilities.
The virtual environment represents a calming natural meadow, surrounded by trees. Participants are immersed in this nature scene and guided to practice square (box) breathing, consisting of 4 seconds inhale, 4 seconds hold, 4 seconds exhale, and 4 seconds hold. The target breathing rhythm is visualized through a colored mist moving between two concentric mushroom-shaped circles in the visual field.
Two distinct biofeedback modalities are integrated into the VR experience for the intervention condition with BF:
In the control condition (Intervention 2), participants engage with the same VR environment and breathing pattern but without biofeedback elements: the deer and the tree are not present. Visual and auditory guidance is still provided via the mist and voice instructions, but there is no adaptive feedback.
All recruited participants sign an Informed consent to participate in the study.
The study duration is three weeks with 4 relaxation sessions in total. The participants complete two VR relaxations per week (e.g.Tuesdays and Thursdays). After the first week of interventions, a one-week break is implemented. The third week the same protocol with two additional sessions is completed. This means the participants complete one of the interventions (conditions) in the first week and the other intervention in the third week.
Each study session takes no longer than 25 minutes per participant. Each of the 4 sessions includes a pre-intervention baseline assessment, a standardized VR breathing session (5 minutes duration) with 3 additional minutes before and 3 minutes after the relaxation spent in the VR environment to measure the pre/post respiratory rate, and a post-intervention assessment. The participants complete the given questionnaires on tablets or computers.
The primary outcomes measured before and after each session include:
Secondary outcomes completed only once, immediately after the final Session 4, include the sense of presence and cybersickness measures.
Data will be analyzed using appropriate statistical methods based on sample size and distribution characteristics. Parametric or non-parametric tests (e.g., t-tests, ANOVA, LLM, Mann-Whitney U, or Wilcoxon signed-rank tests) will be used to evaluate within- and between-group differences in anxiety reduction, relaxation level, and physiological measures. Additional analyses may explore interactions between biofeedback accuracy, presence, and outcome effectiveness.
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30 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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