Investigating the Feasibility of Virtual Reality Meditation for Managing Migraine in Females: A Multiple Baseline Replicated Case Study
Abstract
Background: : Virtual reality offers a potential way to facilitate amplified forms of meditation and distraction, potentially inducing greater states of stress and pain reduction. It is an intriguing possibility that VR-based meditation could disrupt migraine neurophysiology.
Objective:: We aimed to explore the feasibility, usability, and potential benefits of home-based virtual reality-delivered meditation as a non-pharmacological adjunct in migraine management.
Methods:: A multiple baseline replicated Single-Case Experimental Design using an A-B-A (A1-Baseline, B-Intervention, A2-Follow-up) procedure was employed. Two participants underwent serial observations before, during, and after an intervention involving brief daily meditations at key points relevant to migraine onset and peak. Systematic visual analysis of the data was supported by secondary Tau-U statistical analysis.
Results:: Visual analysis suggested no apparent change in pain intensity and migraine frequency across the study. The Tau-U index supported this finding, confirming that pain reports were non-phase-dependent (all ps >0.4). Adherence to the daily meditation was high (>89%), but adherence to meditations at onset and peak pain was low (0-43%). Both participants reported high System Usability Scale scores (>80/100). Implications: While it is premature to exclude a role for virtual reality meditation in migraine management in specific individuals, this case series provides no support for a potential…
How strong is the evidence?
Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.