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A Virtual Reality Cognitive Stimulation Program as an Effective Tool Against Residual/Prodromal Depressive Symptoms in Bipolar Disorders

Authors :
Mauro Giovanni Carta
Peter K. Kurotschka
Sergio Machado
Andreas Erfurth
Federica Sancassiani
Alessandra Perra
Massimo Tusconi
Giulia Cossu
Cesar Ivan Aviles Gonzalez
Diego Primavera
Source :
Journal of Clinical Medicine, Vol 13, Iss 16, p 4714 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Background: Bipolar disorder (BD) is a severe psychiatric illness characterized by a chronic course and recurrent episodes, including residual depressive symptoms even during euthymic phases. These symptoms, although not meeting criteria for a depressive episode, are linked to relapse risk and impaired social functioning. This study aims to assess whether Virtual Reality Cognitive Remediation Training reduces depressive symptoms below the clinical threshold in individuals with BD. Methods: This post hoc analysis focuses on the secondary outcome (PHQ9) of a randomized–controlled trial. Participants were recruited from the Center of Liaison Psychiatry and Psychosomatics in Italy. The experimental group received Virtual Reality Cognitive Remediation, while the control group received standard treatment Results: Data from 39 individuals in the experimental group and 25 in the control group were analyzed. A greater reduction in PHQ-9 scores (>9) was observed in the experimental group (71.8% to 48.7%) compared to the control group. Significant improvements in total PHQ-9 scores and specific symptoms were noted in the experimental group compared to the control group. Conclusions: The study highlights the significant impact of virtual reality intervention on reducing depressive symptoms in bipolar disorder. This promising outcome underscores the potential preventive role of cognitive stimulation in relapse prevention. The intervention could offer valuable benefits for both treatment and prevention strategies in bipolar disorder.

Details

Language :
English
ISSN :
20770383
Volume :
13
Issue :
16
Database :
Directory of Open Access Journals
Journal :
Journal of Clinical Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.92da67ef8cae4ea08f415cb05735be1e
Document Type :
article
Full Text :
https://doi.org/10.3390/jcm13164714