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Tan YL, Chang VYX, Ang WHD, Ang WW, Lau Y. Virtual reality exposure therapy for social anxiety disorders: a meta-analysis and meta-regression of randomized controlled trials. ANXIETY, STRESS, AND COPING 2025; 38:141-160. [PMID: 39161295 DOI: 10.1080/10615806.2024.2392195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/25/2024] [Accepted: 08/09/2024] [Indexed: 08/21/2024]
Abstract
BACKGROUND AND OBJECTIVES Virtual reality exposure therapy offers a unique opportunity to treat social anxiety disorder. This meta-analysis aims to evaluate the effectiveness of virtual reality exposure therapy compared to waitlist comparators or other interventions for individuals with social anxiety disorder in alleviating anxiety symptoms. METHODS A three-step comprehensive search for the randomized controlled trials of virtual reality exposure therapy was conducted from inception to 7 December 2023. The overall effect was measured using Hedges' g and determined using t-statistics at a significance level of p < 0.05. Sensitivity, subgroup, and meta-regression analyses were carried out. RESULTS A total of 17 randomized control trials were retrieved from nine electronic databases. Virtual reality exposure therapy has greater efficacy than waitlist comparators in reducing anxiety symptoms at post-intervention and follow-up assessment. Virtual reality exposure therapy demonstrates a similar effect to other interventions at post-intervention and follow-up assessment. We observed a greater effect for participants with symptomatic social anxiety when we combined the intervention with cognitive behavioral therapy compared to its counterpart. Meta-regression analyses found no significant covariate. CONCLUSIONS Overall, virtual reality exposure therapy can provide supplementary therapy for improving anxiety symptoms. Additional high-quality and large-scale trials with long-term follow-up are needed.
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Affiliation(s)
- Yi Ling Tan
- Nursing Department, Raffles Hospital, Singapore
| | | | - Wei How Darryl Ang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Wei Ang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ying Lau
- The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong Special Administrative Regions of China
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Rooney T, Sharpe L, Todd J, Michalski SC, Van Ryckeghem D, Crombez G, Colagiuri B. Beyond the modified dot-probe task: A meta-analysis of the efficacy of alternate attention bias modification tasks across domains. Clin Psychol Rev 2024; 110:102436. [PMID: 38696911 DOI: 10.1016/j.cpr.2024.102436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 02/25/2024] [Accepted: 04/25/2024] [Indexed: 05/04/2024]
Abstract
Attention biases towards disease-relevant cues have been implicated in numerous disorders and health conditions, such as anxiety, cancer, drug-use disorders, and chronic pain. Attention bias modification (ABM) has shown that changing attention biases can change related emotional processes. ABM most commonly uses a modified dot-probe task, which has received increasing criticism regarding its reliability and inconsistent findings. The purpose of the present review was thus to systematically review and meta-analyse alternative tasks used in ABM research. We sought to examine whether alternative tasks significantly changed attention biases and emotional outcomes, and critically examined whether relevant sample, task and intervention characteristics moderated each of these effect sizes. Seventy-four (completer n = 15,294) study level comparisons were included in the meta-analysis. Overall, alternative ABM designs had a medium effect on changing biases (g = 0.488), and a small, but significant effect on improving clinical outcomes (g = 0.117). We found this effect to be significantly larger for studies which successfully changed biases compared to those that did not. Across all tasks, it appeared that targeting engagement biases results in the largest change to attention biases. Importantly, we found tasks incorporating gaze-contingency - encouraging engagement with non-biased stimuli - show the most promise for improving emotional outcomes.
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Affiliation(s)
- Tessa Rooney
- School of Psychology, Faculty of Science, The University of Sydney, Australia.
| | - Louise Sharpe
- School of Psychology, Faculty of Science, The University of Sydney, Australia
| | - Jemma Todd
- School of Psychology, Faculty of Science, The University of Sydney, Australia
| | - Stefan Carlo Michalski
- Department of Developmental Disability Neuropsychiatry, Faculty of Medicine and Health, The University of New South Wales, Australia
| | - Dimitri Van Ryckeghem
- Department of Experimental-Clinical and Health Psychology, Ghent University, Belgium; Department of Clinical Psychological Science, Maastricht University, Maastricht, Netherlands; Department of Behavioural and Cognitive Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Geert Crombez
- Department of Experimental-Clinical and Health Psychology, Ghent University, Belgium
| | - Ben Colagiuri
- School of Psychology, Faculty of Science, The University of Sydney, Australia
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González-Gualda LM, Vicente-Querol MA, García AS, Molina JP, Latorre JM, Fernández-Sotos P, Fernández-Caballero A. An exploratory study of the effect of age and gender on face scanning during affect recognition in immersive virtual reality. Sci Rep 2024; 14:5553. [PMID: 38448515 PMCID: PMC10918108 DOI: 10.1038/s41598-024-55774-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 02/26/2024] [Indexed: 03/08/2024] Open
Abstract
A person with impaired emotion recognition is not able to correctly identify facial expressions represented by other individuals. The aim of the present study is to assess eyes gaze and facial emotion recognition in a healthy population using dynamic avatars in immersive virtual reality (IVR). For the first time, the viewing of each area of interest of the face in IVR is studied by gender and age. This work in healthy people is conducted to assess the future usefulness of IVR in patients with deficits in the recognition of facial expressions. Seventy-four healthy volunteers participated in the study. The materials used were a laptop computer, a game controller, and a head-mounted display. Dynamic virtual faces randomly representing the six basic emotions plus neutral expression were used as stimuli. After the virtual human represented an emotion, a response panel was displayed with the seven possible options. Besides storing the hits and misses, the software program internally divided the faces into different areas of interest (AOIs) and recorded how long participants looked at each AOI. As regards the overall accuracy of the participants' responses, hits decreased from the youngest to the middle-aged and older adults. Also, all three groups spent the highest percentage of time looking at the eyes, but younger adults had the highest percentage. It is also noteworthy that attention to the face compared to the background decreased with age. Moreover, the hits between women and men were remarkably similar and, in fact, there were no statistically significant differences between them. In general, men paid more attention to the eyes than women, but women paid more attention to the forehead and mouth. In contrast to previous work, our study indicates that there are no differences between men and women in facial emotion recognition. Moreover, in line with previous work, the percentage of face viewing time for younger adults is higher than for older adults. However, contrary to earlier studies, older adults look more at the eyes than at the mouth.Consistent with other studies, the eyes are the AOI with the highest percentage of viewing time. For men the most viewed AOI is the eyes for all emotions in both hits and misses. Women look more at the eyes for all emotions, except for joy, fear, and anger on hits. On misses, they look more into the eyes for almost all emotions except surprise and fear.
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Affiliation(s)
- Luz M González-Gualda
- Servicio de Salud de Castilla-La Mancha, Complejo Hospitalario Universitario de Albacete, Servicio de Salud Mental, 02004, Albacete, Spain
| | - Miguel A Vicente-Querol
- Neurocognition and Emotion Unit, Instituto de Investigación en Informática de Albacete, 02071, Albacete, Spain
| | - Arturo S García
- Neurocognition and Emotion Unit, Instituto de Investigación en Informática de Albacete, 02071, Albacete, Spain
- Departmento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071, Albacete, Spain
| | - José P Molina
- Neurocognition and Emotion Unit, Instituto de Investigación en Informática de Albacete, 02071, Albacete, Spain
- Departmento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071, Albacete, Spain
| | - José M Latorre
- Departmento de Psicología, Universidad de Castilla-La Mancha, 02071, Albacete, Spain
| | - Patricia Fernández-Sotos
- Servicio de Salud de Castilla-La Mancha, Complejo Hospitalario Universitario de Albacete, Servicio de Salud Mental, 02004, Albacete, Spain
- CIBERSAM-ISCIII (Biomedical Research Networking Centre in Mental Health, Instituto de Salud Carlos III), 28016, Madrid, Spain
| | - Antonio Fernández-Caballero
- Neurocognition and Emotion Unit, Instituto de Investigación en Informática de Albacete, 02071, Albacete, Spain.
- Departmento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071, Albacete, Spain.
- CIBERSAM-ISCIII (Biomedical Research Networking Centre in Mental Health, Instituto de Salud Carlos III), 28016, Madrid, Spain.
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Dietel FA, Rupprecht R, Seriyo AM, Post M, Sudhoff B, Reichart J, Berking M, Buhlmann U. Efficacy of a smartphone-based Cognitive Bias Modification program for emotion regulation: A randomized-controlled crossover trial. Internet Interv 2024; 35:100719. [PMID: 38370286 PMCID: PMC10869929 DOI: 10.1016/j.invent.2024.100719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/21/2024] [Accepted: 01/23/2024] [Indexed: 02/20/2024] Open
Abstract
Previous research has identified maladaptive emotion regulation as a key factor in psychopathology. Thus, addressing emotion regulation via scalable, low-threshold digital interventions - such as smartphone-based Cognitive Bias Modification (CBM) - holds important therapeutic potential. Using a randomized-controlled crossover trial, we tested the efficacy of an integrated CBM module within the Affect Regulation Training (ART, i.e., CBM-ART) that targeted emotion regulation through elements of appraisal-based and approach avoidance training. Undergraduate students reporting elevated stress were randomized to a one-week active intervention (Mindgames; including psychoeducation, a quiz, and CBM-ART; n = 40), active control training (Emo Shape; including placebo psychoeducation, a quiz, and a placebo swiping task; n = 36) or waitlist (n = 25). Before and after the intervention, we assessed emotion regulation, interpretation bias, stress and depression. We further tested post-training stress reactivity using an anagram task. Results indicated that the active intervention improved negative (OR = 0.35) and positive (OR = 2.40) interpretation biases and symptom measures (d = 0.52-0.87). However, active control training showed attenuated concurrent pre-post changes on interpretation biases (i.e., OR = 0.53 for negative, and OR = 1.49 for positive interpretations) and symptom measures (d = 0.26-0.91). The active intervention was rated positively in terms of acceptability and usability. These findings provide initial evidence for the efficacy and acceptability of an integrated app-based CBM intervention for emotion regulation in reducing interpretation biases and psychopathological symptoms, including stress. However, future studies should disentangle specific mechanisms underlying interventional effects.
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Wang Y, Zhang X, Gao J, Zhang L, Jiang J. The effect of immersive virtual reality-based attentional bias modification on anxiety mitigation in healthy population. Psych J 2022; 11:956-967. [PMID: 35922380 DOI: 10.1002/pchj.581] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/02/2022] [Indexed: 11/06/2022]
Abstract
The present study compared an immersive virtual reality-based attentional bias modification (immersive VR-ABM) with the desktop version of the VR-ABM and an immersive virtual reality-based game (immersive VR-game) to examine the possible effect of the immersive presence on self-reported emotional reactions to a stressful task. One hundred and twenty participants were randomly assigned into three groups, and each group received a three-turn induction-intervention training. Anxiety symptoms were assessed at pre-induction, post-induction, and post-training. Results showed that virtual reality-based anxiety was induced and alleviated successfully in all three groups, but only the immersive VR-ABM group showed an accumulated effect on self-reported anxiety across sessions. The attentional bias based on probe latencies indicated no significant change in either the immersive or desktop VR-ABM groups. The present findings support the hypothesized VR-ABM's effect on self-reported anxiety at the immersive presence. The practical implications of using immersive VR-ABM are discussed for obtaining ecological validity.
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Affiliation(s)
- Yamin Wang
- Beijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Haidian, China
| | - Xiaoxiang Zhang
- Beijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Haidian, China
| | - Jidong Gao
- Beijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Haidian, China
| | - Leran Zhang
- Beijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Haidian, China
| | - Jinhang Jiang
- Beijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Haidian, China
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