Virtual reality in the assessment and treatment of psychosis: a systematic review of its utility, acceptability and effectiveness.

Over the last two decades, there has been a rapid increase of studies testing the efficacy and acceptability of virtual reality in the assessment and treatment of mental health problems. This systematic review was carried out to investigate the use of virtual reality in the assessment and the treatment of psychosis. Web of Science, PsychInfo, EMBASE, Scopus, ProQuest and PubMed databases were searched, resulting in the identification of 638 articles potentially eligible for inclusion; of these, 50 studies were included in the review. The main fields of research in virtual reality and psychosis are: safety and acceptability of the technology; neurocognitive evaluation; functional capacity and performance evaluation; assessment of paranoid ideation and auditory hallucinations; and interventions. The studies reviewed indicate that virtual reality offers a valuable method of assessing the presence of symptoms in ecologically valid environments, with the potential to facilitate learning new emotional and behavioural responses. Virtual reality is a promising method to be used in the assessment of neurocognitive deficits and the study of relevant clinical symptoms. Furthermore, preliminary findings suggest that it can be applied to the delivery of cognitive rehabilitation, social skills training interventions and virtual reality-assisted therapies for psychosis. The potential benefits for enhancing treatment are highlighted. Recommendations for future research include demonstrating generalisability to real-life settings, examining potential negative effects, larger sample sizes and long-term follow-up studies. The present review has been registered in the PROSPERO register: CDR 4201507776.

Associations between facial emotion recognition, cognition and alexithymia in patients with schizophrenia: comparison of photographic and virtual reality presentations.

Emotion recognition is known to be impaired in schizophrenia patients. Although cognitive deficits and symptomatology have been associated with this impairment there are other patient characteristics, such as alexithymia, which have not been widely explored. Emotion recognition is normally assessed by means of photographs, although they do not reproduce the dynamism of human expressions. Our group has designed and validated a virtual reality (VR) task to assess and subsequently train schizophrenia patients. The present study uses this VR task to evaluate the impaired recognition of facial affect in patients with schizophrenia and to examine its association with cognitive deficit and the patients' inability to express feelings. Thirty clinically stabilized outpatients with a well-established diagnosis of schizophrenia or schizoaffective disorder were assessed in neuropsychological, symptomatic and affective domains. They then performed the facial emotion recognition task. Statistical analyses revealed no significant differences between the two presentation conditions (photographs and VR) in terms of overall errors made. However, anger and fear were easier to recognize in VR than in photographs. Moreover, strong correlations were found between psychopathology and the errors made.

Improving social behaviour in schizophrenia patients using an integrated virtual reality programme: a case study.

Social skills training programmes are among the treatments of choice in schizophrenia. Virtual reality (VR) can improve the results obtained with traditional social skills programmes by helping to generalize the acquired responses to patients' daily lives. We present the results of a case study involving the application of an integrated VR programme for social skills training. A 30-year-old woman with a well-established diagnosis of schizophrenia was enrolled in the study. She completed four baseline sessions, 16 treatment sessions and four follow-up sessions three months after the end of the treatment. Using a multiple baseline across-behaviours design, three target behaviours were analysed: facial emotion recognition, social anxiety and conversation time. Symptoms and social function variables were also assessed. The results showed a positive change in the three target behaviours and improvements in interpersonal communication, assertiveness and negative symptoms. The VR programme proved useful for training the patient's social behaviour and, consequently, for improving her performance.