Relations between changes in safety behavior, paranoid ideations, cognitive biases, and clinical characteristics of patients with a psychotic disorder over time.

BACKGROUND: Safety behaviors, both positive (maladaptive coping behavior) and negative (avoidance behavior), are used by people with paranoid delusions to avoid perceived threats. Safety behaviors contribute to the persistence of paranoid delusions by preventing disconfirmation of threat beliefs and may influence other psychiatric symptoms. This study investigated how changes in safety behaviors are related to changes in paranoid ideation, social anxiety, depression, cognitive biases and self-esteem over time. METHODS: This study included 116 patients diagnosed with a psychotic disorder (DSM-IV) and at least moderate levels of paranoid ideations (GTPS >40).The data were collected as part of a multi-center randomized controlled trial where patients were randomized to VR-CBT (n = 58) or treatment as usual (TAU; n = 58). Assessments were completed at baseline (T0), after three months (T3) and after six months (T6). For all variables, change scores between T0 and T3 and T3 and T6 were calculated and Pearson correlations between change scores were computed. RESULTS: A decrease in total safety behavior was related to diminished paranoid ideation, social anxiety, and depression. No significant temporal associations were found between changes in safety behavior and changes in cognitive biases and self-esteem. Similar but less robust results were found for respectively negative safety behavior and positive safety behavior. CONCLUSION: Dropping safety behavior can be specifically targeted in behavioral interventions. Whereas there appears to be a relation with reduction in anxiety, paranoia, and depressive symptoms, changes in safety behavior do not seem to align with changes in cognitive thinking processes.

Exploring the role of clinical and demographic characteristics on the effects of virtual reality cognitive behavioral therapy for psychosis: A moderator analysis.

BACKGROUND: Virtual Reality cognitive behavioral therapy (VR-CBT) has proven to be an effective treatment method for paranoia and anxiety in psychosis. However, it is unknown, which individuals benefit most from VR-CBT. Previous studies examined factors affecting the treatment effect of regular CBTp, including illness duration, paranoia, depression, and pre-therapy avoidance behaviors, but results are inconsistent. The study aims to investigate the factors that influence the effectiveness of VR-CBT. METHODS: A total of 95 participants with a psychotic disorder and at least moderate paranoia (GTPS >40) were included in this explorative study. Data were collected as part of a multicenter randomized controlled trial in which participants were assigned to VR-CBT or treatment as usual (TAU). The VR-CBT group received 16 sessions of individual treatment. A moderator analysis was conducted to examine the influence of baseline demographic (age, gender, and education level) and clinical characteristics (duration of illness, paranoia, anxiety, depression, safety behavior, self-esteem, and social functioning) on treatment effects of paranoia and anxiety as measured with questionnaires and the experience sampling method (ESM) directly after treatment (12 weeks after baseline). RESULTS: More use of safety behavior at baseline resulted in greater benefits of VR-CBT on paranoid ideation and ESM paranoia. A higher age was associated with greater benefits of VR-CBT on social anxiety but not paranoia outcomes. There was no consistent evidence of moderation by any of the other sociodemographic or clinical variables for paranoid ideation and social anxiety. CONCLUSIONS: Our findings suggest that a diverse spectrum of patients, with different backgrounds and symptom severity may be able to benefit from VR-CBT. VR-CBT can be recommended to a broad spectrum of patients with psychotic disorders, and particularly those with high levels of safety behaviors, including severe avoidance, seem to benefit more.

Dynamic Interactive Social Cognition Training in Virtual Reality (DiSCoVR) versus Virtual Reality Relaxation (VRelax) for People With a Psychotic Disorder: A Single-Blind Multicenter Randomized Controlled Trial.

BACKGROUND AND HYPOTHESIS: Social cognition training (SCT), an intervention for social cognition and social functioning, might be improved by using virtual reality (VR), because VR may offer better opportunities to practice in a potentially more realistic environment. To date, no controlled studies have investigated VR-SCT. This study investigated a VR-SCT, "DiSCoVR". We hypothesized that DiSCoVR would improve social cognition and social functioning. STUDY DESIGN: Participants were randomized to DiSCoVR (n = 41) or VR relaxation ('VRelax', n = 40), an active control condition, and completed 16 twice-weekly sessions. Three assessments (baseline, posttreatment, and 3-month follow-up) were performed by blinded assessors. The primary outcome was social cognition (emotion perception and theory of mind). Secondary outcomes included social functioning (measured with an interview and experience sampling), psychiatric symptoms, information processing, and self-esteem. Data were analyzed using mixed-models regression analysis. Treatment effects were evaluated by the time by condition interaction terms. STUDY RESULTS: No significant time by condition interactions were found for any of the outcome variables, indicating an absence of treatment effects. Between-group effect sizes ranged from negligible to moderate (Cohen's d < |0.53|). Main effects of time were found for several outcomes. CONCLUSIONS: These results suggest that DiSCoVR was not effective, possibly because of inadequate simulation of emotional expressions in VR. This lack of efficacy may indicate that current SCT protocols are relatively unsuitable for improving social functioning. Previous studies showed small to moderate effects on higher order social cognition, but the SCT approach may need critical reevaluation, as it may not sufficiently lead to functional improvement.

Virtual reality facial emotion recognition in social environments: An eye-tracking study.

BACKGROUND: Virtual reality (VR) enables the administration of realistic and dynamic stimuli within a social context for the assessment and training of emotion recognition. We tested a novel VR emotion recognition task by comparing emotion recognition across a VR, video and photo task, investigating covariates of recognition and exploring visual attention in VR. METHODS: Healthy individuals (n = 100) completed three emotion recognition tasks; a photo, video and VR task. During the VR task, emotions of virtual characters (avatars) in a VR street environment were rated, and eye-tracking was recorded in VR. RESULTS: Recognition accuracy in VR (overall 75%) was comparable to the photo and video task. However, there were some differences; disgust and happiness had lower accuracy rates in VR, and better accuracy was achieved for surprise and anger in VR compared to the video task. Participants spent more time identifying disgust, fear and sadness than surprise and happiness. In general, attention was directed longer to the eye and nose areas than the mouth. DISCUSSION: Immersive VR tasks can be used for training and assessment of emotion recognition. VR enables easily controllable avatars within environments relevant for daily life. Validated emotional expressions and tasks will be of relevance for clinical applications.