Study protocol for a randomized clinical pilot trial investigating feasibility and efficacy of augmenting a virtual reality-assisted intervention targeting auditory verbal hallucinations with biofeedback: the Neuro-VR study
Soleim, S. B.; Habla, A. F.; Due, A. S.; Tinglef, T. H.; Eskelund, K.; Diaz-i-Calvete, J.; Larsen, K. M.; Kristensen, T. D.; Ebdrup, B. H.; Nordentoft, M.; Lyngholm, D.; Miskowiak, K. W.; Ambrosen, K. S.; Birkedal Glenthoj, L.
Show abstract
IntroductionAuditory Verbal Hallucinations (AVH) are among the most frequent and severe symptoms in schizophrenia and related psychotic disorders. Virtual Reality (VR)-assisted interventions have emerged, demonstrating promising potential in reducing AVH severity. This treatment approach may be challenged with regards to feasibility, particularly when therapeutically managing the anxiety-related reactions associated with AVH. This pilot study evaluates the feasibility and acceptability of augmenting VR-assisted therapy with real-time biofeedback to address these challenges. The integration of biofeedback enables continuous adaptation of therapy based on physiological responses while allowing participants to train self-regulation of these parameters. MethodsNeuro-VR is a randomized clinical pilot trial utilizing a mixed-methods design. Thirty participants with schizophrenia spectrum disorders and AVH will be randomized to either eight sessions of VR-assisted therapy or eight sessions of VR-assisted therapy augmented with real-time biofeedback. Assessments will be conducted at baseline and post-treatment. Outcome measures include both clinical metrics, electroencephalogram recordings, and qualitative interviews to evaluate feasibility, acceptability, and potential treatment effects of the combined approach. DiscussionThis study will explore whether integrating biofeedback into VR-assisted therapy enhances personalization, supports emotion regulation, and improves tolerability. The findings will provide preliminary evidence on the utility of physiological markers to guide VR-based interventions for AVH and inform the development of individualized, effective treatments for patients with schizophrenia. Trial registrationClinicalTrials.gov, NCT06628323 (https://clinicaltrials.gov/study/NCT06628323). Registered August 19, 2024.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Evidence for feasibility of mobile health and social media-based interventions for early psychosis and clinical high risk 94%
- Facial and vocal markers of schizophrenia measured using remote smartphone assessments 93%
- Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered Clinical Decision Support System: A Longitudinal Feasibility Study 93%
Similar papers in this journal
- Understanding Psychiatric Illness Through Natural Language Processing (UNDERPIN): Rationale, Design, and Methodology 95%
- Attitude towards Mental Help-Seeking, Motivation, and Economic Resources in Connection with Positive, Negative, and General Psychopathological Symptoms of Schizophrenia: A Pilot Study of a Psychoeducation Program 95%
- Patients with affective disorders profit most from telemedical treatment: Evidence from a naturalistic patient cohort during the COVID-19 pandemic 94%
Similar papers in this journal
- Treatment provision for adults with ADHD during the COVID-19 pandemic: An exploratory study on patient and therapist experience with on-site sessions using face masks vs. telepsychiatric sessions 96%
- Current state of the evidence on community treatments for people with complex emotional needs: a scoping review 92%
- Short-term functional outcome in psychotic patients. Results of the Turku Early Psychosis Study (TEPS) 92%
Similar papers in this journal
- Modified Alliance-Focused Training with Doubling as an integrative approach to improve therapists’ competencies in dealing with alliance ruptures and prevent negative outcome in psychotherapy for depression. Study protocol of a randomized controlled multicenter trial 94%
- Study protocol for the development and internal validation of SPIRIT (Schizophrenia Prediction of Resistance to Treatment): A clinical tool for predicting risk of treatment resistance to anti-psychotics in First Episode Schizophrenia 94%
- A Mobile App for Prolonged Grief among Bereaved Parents: Study Protocol for a Randomized Controlled Trial 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.