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Brouwer D, Morrin H, Nicholson TR, Terhune DB, Schrijnemaekers M, Edwards MJ, Gelauff J, Shotbolt P. Virtual reality in functional neurological disorder: a theoretical framework and research agenda for use in the real world. BMJ Neurol Open 2024; 6:e000622. [PMID: 38979395 PMCID: PMC11227774 DOI: 10.1136/bmjno-2023-000622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/01/2024] [Indexed: 07/10/2024] Open
Abstract
Functional neurological disorder (FND) is a common and disabling condition at the intersection of neurology and psychiatry. Despite remarkable progress over recent decades, the mechanisms of FND are still poorly understood and there are limited diagnostic tools and effective treatments. One potentially promising treatment modality for FND is virtual reality (VR), which has been increasingly applied to a broad range of conditions, including neuropsychiatric disorders. FND has unique features, many of which suggest the particular relevance for, and potential efficacy of, VR in both better understanding and managing the disorder. In this review, we describe how VR might be leveraged in the treatment and diagnosis of FND (with a primary focus on motor FND and persistent perceptual-postural dizziness given their prominence in the literature), as well as the elucidation of neurocognitive mechanisms and symptom phenomenology. First, we review what has been published to date on the applications of VR in FND and related neuropsychiatric disorders. We then discuss the hypothesised mechanism(s) underlying FND, focusing on the features that are most relevant to VR applications. Finally, we discuss the potential of VR in (1) advancing mechanistic understanding, focusing specifically on sense of agency, attention and suggestibility, (2) overcoming diagnostic challenges and (3) developing novel treatment modalities. This review aims to develop a theoretical foundation and research agenda for the use of VR in FND that might be applicable or adaptable to other related disorders.
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Affiliation(s)
- David Brouwer
- Department of Neurology, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Hamilton Morrin
- Neuropsychiatry Research and Education Group, King's College London Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Timothy R Nicholson
- Neuropsychiatry Research and Education Group, King's College London Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Devin B Terhune
- Neuropsychiatry Research and Education Group, King's College London Institute of Psychiatry, Psychology & Neuroscience, London, UK
- Department of Psychology, King's College London Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | | | - Mark J Edwards
- Neuropsychiatry Research and Education Group, King's College London Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Jeannette Gelauff
- Department of Neurology, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Paul Shotbolt
- Neuropsychiatry Research and Education Group, King's College London Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, King's College London Institute of Psychiatry, Psychology & Neuroscience, London, UK
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Reategui-Rivera CM, Villarreal-Zegarra D, De La Cruz-Torralva K, Díaz-Sánchez P, Finkelstein J. Immersive Technologies for Depression Care: Scoping Review. JMIR Ment Health 2024; 11:e56056. [PMID: 38663004 PMCID: PMC11082738 DOI: 10.2196/56056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/27/2024] [Accepted: 03/16/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Depression significantly impacts quality of life, affecting approximately 280 million people worldwide. However, only 16.5% of those affected receive treatment, indicating a substantial treatment gap. Immersive technologies (IMTs) such as virtual reality (VR) and augmented reality offer new avenues for treating depression by creating immersive environments for therapeutic interventions. Despite their potential, significant gaps exist in the current evidence regarding the design, implementation, and use of IMTs for depression care. OBJECTIVE We aim to map the available evidence on IMT interventions targeting depression treatment. METHODS This scoping review followed a methodological framework, and we systematically searched databases for studies on IMTs and depression. The focus was on randomized clinical trials involving adults and using IMTs. The selection and charting process involved multiple reviewers to minimize bias. RESULTS The search identified 16 peer-reviewed articles, predominantly from Europe (n=10, 63%), with a notable emphasis on Poland (n=9, 56%), which contributed to more than half of the articles. Most of the studies (9/16, 56%) were conducted between 2020 and 2021. Regarding participant demographics, of the 16 articles, 5 (31%) exclusively involved female participants, and 7 (44%) featured participants whose mean or median age was >60 years. Regarding technical aspects, all studies focused on VR, with most using stand-alone VR headsets (14/16, 88%), and interventions typically ranging from 2 to 8 weeks, predominantly in hospital settings (11/16, 69%). Only 2 (13%) of the 16 studies mentioned using a specific VR design framework in planning their interventions. The most frequently used therapeutic approach was Ericksonian psychotherapy, used in 56% (9/16) of the studies. Notably, none of the articles reported using an implementation framework or identified barriers and enablers to implementation. CONCLUSIONS This scoping review highlights the growing interest in using IMTs, particularly VR, for depression treatment but emphasizes the need for more inclusive and comprehensive research. Future studies should explore varied therapeutic approaches and cost-effectiveness as well as the inclusion of augmented reality to fully realize the potential of IMTs in mental health care.
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Affiliation(s)
| | - David Villarreal-Zegarra
- Instituto Peruano de Orientación Psicólogica, Lima, Peru
- Escuela de Psicología, Universidad Continental, Lima, Peru
| | | | - Paquita Díaz-Sánchez
- Unidad de Telesalud, Facultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Joseph Finkelstein
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
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Paul M, Bullock K, Bailenson J, Burns D. Examining the Efficacy of Extended Reality-Enhanced Behavioral Activation for Adults With Major Depressive Disorder: Randomized Controlled Trial. JMIR Ment Health 2024; 11:e52326. [PMID: 38437873 PMCID: PMC11058556 DOI: 10.2196/52326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 02/16/2024] [Accepted: 03/01/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a global concern with increasing prevalence. While many evidence-based psychotherapies (EBPs) have been identified to treat MDD, there are numerous barriers to patients accessing them. Virtual reality (VR) has been used as a treatment enhancement for a variety of mental health disorders, but few studies have examined its clinical use in treating MDD. Behavioral activation (BA) is a simple yet effective and established first-line EBP for MDD that has the potential to be easily enhanced and adapted with VR technology. A previous report by our group explored the feasibility and acceptability of VR-enhanced BA in a small clinical proof-of-concept pilot. This study examines the clinical efficacy of a more immersive extended reality (XR)-enhanced BA (XR-BA) prototype. This is the first clinical efficacy test of an XR-BA protocol. OBJECTIVE This study examined whether XR-BA was feasible and efficacious in treating MDD in an ambulatory telemedicine clinic. METHODS A nonblinded between-subject randomized controlled trial compared XR-BA to traditional BA delivered via telehealth. The study used a previously established, brief 3-week, 4-session BA EBP intervention. The experimental XR-BA participants were directed to use a Meta Quest 2 (Reality Labs) VR headset to engage in simulated pleasant or mastery activities and were compared to a control arm, which used only real-life mastery or pleasant activities as between-session homework. The Patient Health Questionnaire (PHQ)-9 was the primary outcome measure. Independent-sample and paired-sample t tests (2-tailed) were used to determine statistical significance and confirmed using structural equation modeling. RESULTS Overall, 26 participants with MDD were randomized to receive either XR-BA (n=13, 50%) or traditional BA (n=13, 50%). The mean age of the 26 participants (n=6, 23% male; n=19, 73% female; n=1, 4% nonbinary or third gender) was 50.3 (SD 17.3) years. No adverse events were reported in either group, and no substantial differences in dropout rates or homework completion were observed. XR-BA was found to be statistically noninferior to traditional BA (t18.6=-0.28; P=.78). Both the XR-BA (t9=2.5; P=.04) and traditional BA (t10=2.3; P=.04) arms showed a statistically significant decrease in PHQ-9 and clinical severity from the beginning of session 1 to the beginning of session 4. There was a significant decrease in PHQ-8 to PHQ-9 scores between the phone intake and the beginning of session 1 for the XR-BA group (t11=2.6; P=.03) but not the traditional BA group (t11=1.4; P=.20). CONCLUSIONS This study confirmed previous findings that XR-BA may be a feasible, non-inferior, and acceptable enhancement to traditional BA. Additionally, there was evidence that supports the potential of XR to enhance expectation or placebo effects. Further research is needed to examine the potential of XR to improve access, outcomes, and barriers to MDD care. TRIAL REGISTRATION ClinicalTrials.gov NCT05525390; https://clinicaltrials.gov/study/NCT05525390.
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Affiliation(s)
- Margot Paul
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Kim Bullock
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Jeremy Bailenson
- Department of Communication, Stanford University, Stanford, CA, United States
| | - David Burns
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
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Holsteg S, Askeridis JM, Krajewski J, Mildner P, Freitag S, Müller T, Schnieder S, Gieselmann A, Karger A. Virtual reality roleplays for patients with depression: A user experience evaluation. Internet Interv 2024; 35:100713. [PMID: 38318087 PMCID: PMC10840098 DOI: 10.1016/j.invent.2024.100713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 12/31/2023] [Accepted: 01/15/2024] [Indexed: 02/07/2024] Open
Abstract
Background Virtual reality (VR) has been used successfully and effectively in psychotherapy for a variety of disorders. In the field of depression, there are only a few VR interventions and approaches. Although simple social interactions have been successfully modeled in VR for several mental disorders, there has been no transfer to the field of depression therapy. VR may be employed for psychodynamic psychotherapy to work on interpersonal conflict patterns. In this study, we developed and evaluated a VR intervention for the simulation of roleplay situations in the context of supportive-expressive therapy. Methods We conducted a clinical user experience (UX) study at a psychotherapeutic clinic in Düsseldorf, Germany. Eight inpatients with depression and four therapists were included. Semi-structured interviews and qualitative content analysis were used to identify UX issues of the developed VR intervention. Usability questionnaires and technical usage data were also considered. The VR intervention consisted of two therapist-controlled roleplay scenarios designed to support work on the core conflictual relationship theme by allowing patients to interact in typical problematic social situations. Recorded VR roleplays allow for therapeutic debriefing with a change of perspective. Therapists were given the option of using the roleplay in multiple sessions. Results All therapists conducted one session per patient with the VR intervention. From the patient interviews, 26 UX issues were extracted, of which one technical malfunction and two unclarities in the interaction with the VR agent were rated as major problems. From the therapist interviews, 14 UX issues were extracted, of which five were rated as major problems related to the interface in the dialog control or the complex system setup. Conclusion The main problem was designing a dialog structure that allows both complex conversational flows and a clear control interface. In principle, VR roleplays could be integrated well and safely into therapy. The VR intervention shows promise for providing an emotional experience of interpersonal conflict patterns in the context of psychotherapy. Additionally, other roleplay situations involving various social problem areas must be created and evaluated in terms of the fit to the patients' core conflictual relationship themes.
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Affiliation(s)
- Steffen Holsteg
- Clinical Institute of Psychosomatic Medicine and Psychotherapy, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstrasse 5, D-40225 Düsseldorf, Germany
| | - Johanna M. Askeridis
- Clinical Institute of Psychosomatic Medicine and Psychotherapy, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstrasse 5, D-40225 Düsseldorf, Germany
| | - Jarek Krajewski
- Institute of Experimental Psychophysiology GmbH, Gustav-Poensgen-Strasse 29, D-40215 Düsseldorf, Germany
| | - Philip Mildner
- Nuromedia GmbH, Schaafenstrasse 25, D-50676 Cologne, Germany
| | | | - Tobias Müller
- Clinical Institute of Psychosomatic Medicine and Psychotherapy, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstrasse 5, D-40225 Düsseldorf, Germany
| | - Sebastian Schnieder
- Institute of Experimental Psychophysiology GmbH, Gustav-Poensgen-Strasse 29, D-40215 Düsseldorf, Germany
| | - Annika Gieselmann
- Department of Clinical Psychology, Heinrich Heine University Düsseldorf, Universitätsstrasse 1, D-40225 Düsseldorf, Germany
| | - André Karger
- Clinical Institute of Psychosomatic Medicine and Psychotherapy, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstrasse 5, D-40225 Düsseldorf, Germany
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Yu K, Wang L, Lv S, Ye X, Liu L, Zheng X, Jin R, Zhou D, Zhang Y, Min G, Wu S. Using functional near-infrared spectroscopy to study effects of virtual reality intervention for adolescents with depression in a clinical setting in China: study protocol for a prospective, randomised, controlled trial. BMJ Open 2023; 13:e074129. [PMID: 38101854 PMCID: PMC10729192 DOI: 10.1136/bmjopen-2023-074129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 08/31/2023] [Indexed: 12/17/2023] Open
Abstract
INTRODUCTION Adolescent depression has been shown to be associated with many devastating psychosocial outcomes. However, there are many barriers that may prevent depressed individuals from receiving specialised treatment. Virtual reality (VR) technology has shown promise as one avenue for overcoming these challenges. This study first aims to evaluate the effectiveness of VR intervention on adolescent depression symptoms, and second, to determine the intervention's underlying mechanism of effect using functional near-infrared spectroscopy (fNIRS). METHODS AND ANALYSIS This is a single-centre, prospective, randomised controlled clinical trial. Sixty-six eligible adolescents aged 12-18 years with a diagnosis of depression will be randomised in a 1:1 ratio to either the VR treatment group or the conventional treatment group. All patients for both groups will receive usual treatment during a 4-week intervention period. In addition, patients randomised to VR treatment group (n=33) will complete three 20 min VR sessions including attention, executive function and relaxation training per week. Moreover, 33 healthy adolescents will be recruited as the general population. Primary outcome (ie, depressive symptoms) and secondary outcomes (ie, anxiety symptoms, executive function, treatment emergent symptoms, haemoglobin changes measured by fNIRS) will be collected at preintervention, immediately postintervention and at 4 weeks follow-up. The data assessor and analyst will be blinded to group membership. ETHICS AND DISSEMINATION Ethical approval has been obtained from the Ethics Committee of Lishui Second People's Hospital. Written informed consent will be obtained for all participants. Results will be disseminated through peer-reviewed journals, national or international conference presentations, media outlets, the internet and various community activities. TRIAL REGISTRATION NUMBER ChiCTR2300067747.
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Affiliation(s)
- Kunqiang Yu
- Department of Mental Rehabilitation, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
- Zhejiang Clinical Medical Research Centre for Psychiatric and Psychological Disorders, Lishui, Zhejiang, China
- Lishui Key Laboratory of Brain Health and Major Brain Diseases, Lishui, Zhejiang, China
| | - Lijun Wang
- Cixi Biomedical Research Institute, Wenzhou Medical University, Ningbo, Zhejiang, China
| | - Shiqiao Lv
- Department of Mental Rehabilitation, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
| | - Xiaofang Ye
- Department of Mental Rehabilitation, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
| | - Linhui Liu
- Psychological Counselling Center, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
| | - Xiuxiu Zheng
- Lishui Key Laboratory of Brain Health and Major Brain Diseases, Lishui, Zhejiang, China
- Psychological Counselling Center, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
| | - Ruomei Jin
- Department of Mental Rehabilitation, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
- Lishui Key Laboratory of Brain Health and Major Brain Diseases, Lishui, Zhejiang, China
| | - Dongsheng Zhou
- Department of Mental Rehabilitation, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Yan Zhang
- Psychological Counselling Center, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
| | - Guoqing Min
- Department of Mental Rehabilitation, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
- Lishui Key Laboratory of Brain Health and Major Brain Diseases, Lishui, Zhejiang, China
| | - Shaochang Wu
- Department of Mental Rehabilitation, The Second People's Hospital of Lishui, Lishui, Zhejiang, China
- Zhejiang Clinical Medical Research Centre for Psychiatric and Psychological Disorders, Lishui, Zhejiang, China
- Lishui Key Laboratory of Brain Health and Major Brain Diseases, Lishui, Zhejiang, China
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Kim S, Jung T, Sohn DK, Chae Y, Kim YA, Kang SH, Park Y, Chang YJ. The Multidomain Metaverse Cancer Care Digital Platform: Development and Usability Study. JMIR Serious Games 2023; 11:e46242. [PMID: 38032697 PMCID: PMC10722376 DOI: 10.2196/46242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/17/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND As cancer treatment methods have diversified and the importance of self-management, which lowers the dependence rate on direct hospital visits, has increased, effective cancer care education and management for health professionals and patients have become necessary. The metaverse is in the spotlight as a means of digital health that allows users to engage in cancer care education and management beyond physical constraints. However, it is difficult to find a multipurpose medical metaverse that can not only be used in the field but also complements current cancer care. OBJECTIVE This study aimed to develop an integrated metaverse cancer care platform, Dr. Meta, and examine its usability. METHODS We conducted a multicenter, cross-sectional survey between November and December 2021. A descriptive analysis was performed to examine users' experiences with Dr. Meta. In addition, a supplementary open-ended question was used to ask users for their suggestions and improvements regarding the platform. RESULTS Responses from 70 Korean participants (male: n=19, 27% and female: n=51, 73%) were analyzed. More than half (n=37, 54%) of the participants were satisfied with Dr. Meta; they responded that it was an interesting and immersive platform (n=50, 72%). Less than half perceived no discomfort when using Dr. Meta (n=34, 49%) and no difficulty in wearing and operating the device (n=30, 43%). Furthermore, more than half (n=50, 72%) of the participants reported that Dr. Meta would help provide non-face-to-face and noncontact services. More than half also wanted to continue using this platform in the future (n=41, 59%) and recommended it to others (n=42, 60%). CONCLUSIONS We developed a multidomain metaverse cancer care platform that can support both health professionals and patients in non-face-to-face cancer care. The platform was uniquely disseminated and implemented in multiple regional hospitals and showed the potential to perform successful cancer care.
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Affiliation(s)
- Sunghak Kim
- Division of Cancer Control and Policy, National Cancer Center, Goyang, Republic of Korea
| | - Timothy Jung
- Faculty of Business and Law, Manchester Metropolitan University, Manchester, United Kingdom
| | - Dae Kyung Sohn
- Center for Colorectal Cancer, National Cancer Center, Goyang, Republic of Korea
| | - Yoon Chae
- Division of Cancer Control and Policy, National Cancer Center, Goyang, Republic of Korea
| | - Young Ae Kim
- National Cancer Survivorship Center, National Cancer Center, Goyang, Republic of Korea
| | - Seung Hyun Kang
- Planning Division, Korea Smart Healthcare Association, Seoul, Republic of Korea
| | - Yujin Park
- Division of Cancer Control and Policy, National Cancer Center, Goyang, Republic of Korea
| | - Yoon Jung Chang
- Division of Cancer Control and Policy, National Cancer Center, Goyang, Republic of Korea
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Wiebe A, Kannen K, Selaskowski B, Mehren A, Thöne AK, Pramme L, Blumenthal N, Li M, Asché L, Jonas S, Bey K, Schulze M, Steffens M, Pensel MC, Guth M, Rohlfsen F, Ekhlas M, Lügering H, Fileccia H, Pakos J, Lux S, Philipsen A, Braun N. Virtual reality in the diagnostic and therapy for mental disorders: A systematic review. Clin Psychol Rev 2022; 98:102213. [PMID: 36356351 DOI: 10.1016/j.cpr.2022.102213] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 08/21/2022] [Accepted: 10/11/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Virtual reality (VR) technologies are playing an increasingly important role in the diagnostics and treatment of mental disorders. OBJECTIVE To systematically review the current evidence regarding the use of VR in the diagnostics and treatment of mental disorders. DATA SOURCE Systematic literature searches via PubMed (last literature update: 9th of May 2022) were conducted for the following areas of psychopathology: Specific phobias, panic disorder and agoraphobia, social anxiety disorder, generalized anxiety disorder, posttraumatic stress disorder (PTSD), obsessive-compulsive disorder, eating disorders, dementia disorders, attention-deficit/hyperactivity disorder, depression, autism spectrum disorder, schizophrenia spectrum disorders, and addiction disorders. ELIGIBILITY CRITERIA To be eligible, studies had to be published in English, to be peer-reviewed, to report original research data, to be VR-related, and to deal with one of the above-mentioned areas of psychopathology. STUDY EVALUATION For each study included, various study characteristics (including interventions and conditions, comparators, major outcomes and study designs) were retrieved and a risk of bias score was calculated based on predefined study quality criteria. RESULTS Across all areas of psychopathology, k = 9315 studies were inspected, of which k = 721 studies met the eligibility criteria. From these studies, 43.97% were considered assessment-related, 55.48% therapy-related, and 0.55% were mixed. The highest research activity was found for VR exposure therapy in anxiety disorders, PTSD and addiction disorders, where the most convincing evidence was found, as well as for cognitive trainings in dementia and social skill trainings in autism spectrum disorder. CONCLUSION While VR exposure therapy will likely find its way successively into regular patient care, there are also many other promising approaches, but most are not yet mature enough for clinical application. REVIEW REGISTRATION PROSPERO register CRD42020188436. FUNDING The review was funded by budgets from the University of Bonn. No third party funding was involved.
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Affiliation(s)
- Annika Wiebe
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Kyra Kannen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Benjamin Selaskowski
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Aylin Mehren
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Ann-Kathrin Thöne
- School of Child and Adolescent Cognitive Behavior Therapy (AKiP), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lisa Pramme
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Nike Blumenthal
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Mengtong Li
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Laura Asché
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Stephan Jonas
- Institute for Digital Medicine, University Hospital Bonn, Bonn, Germany
| | - Katharina Bey
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Marcel Schulze
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Maria Steffens
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Max Christian Pensel
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Matthias Guth
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Felicia Rohlfsen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Mogda Ekhlas
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Helena Lügering
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Helena Fileccia
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Julian Pakos
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Silke Lux
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Alexandra Philipsen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Niclas Braun
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany.
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