Virtual reality-based Avatar Therapy for treatment-resistant major depressive disorder: A pilot study
Abstract
• Avatar Therapy for TRD is a VR-based intervention with strong experiential and relational components • Evaluate the efficacy of Avatar Therapy for TRD • Depression, anxiety, self-esteem, quality of life, and functioning improved following Avatar Therapy of TRD • Avatar therapy for TRD demonstrated good acceptability and feasibility • Future studies should assess efficacy in larger controlled samples and its long-term outcomes A bstract Major depressive disorder (MDD) is a common and disabling mental health condition, with a substantial proportion of patients failing to achieve symptom relief through standard pharmacological or psychotherapeutic treatments. Treatment-resistant depression (TRD), therefore, remains a significant clinical and public health challenge. To address this, our team developed Avatar Therapy, a virtual reality–based intervention with strong experiential and relational components. This pilot clinical trial aimed to evaluate the short-term efficacy of Avatar Therapy for TRD on 12 participants. During therapy sessions, participants engaged in dialogue in virtual reality with an avatar representing a person who played a significant role in their depressive symptoms. The avatar was animated in real-time by the therapist. The primary outcomes were the rates of response and remission, along with depressive symptom severity. Secondary outcomes were severity of anxiety symptoms, self-esteem, quality of life, and functioning. Changes in these outcomes between the pre- and post-therapy assessment periods were analyzed using linear mixed-effects models. Among completers, the response rate was 80%, and the remission rate was 20%. At post-therapy, results showed a significant large reduction in depressive symptoms as measured both by self-report (d=1.48, p
Fields of Study & Subjects
Virtual Reality Applications and Impacts
Digital Mental Health Interventions
Treatment of Major Depression
Publication details
- Journal / source
- Psychiatry Research
- Publisher
- Elsevier BV
- Volume
- 360
- Pages
- 117080–117080
- Publication date
- 12 March 2026
- Language
- EN