Efficacy of a remote virtual reality and EEG enabled psychotherapy system for the treatment of depressive symptoms
Efficacy of a remote virtual reality and EEG enabled psychotherapy system for the treatment of depressive symptoms
More than 40% of the U.S. population have experienced mental health disorders since the COVID-19 pandemic. 40% of this group received no treatment for their mental illness. Barriers to treatment include stigma, prohibitive cost, and a belief that treatment is inaccessible, particularly in isolated or rural communities. A novel remote, EEG-enhanced VR psychotherapy system was assessed for its presence and restorativeness, and therapeutic efficacy in improving mood with a single session positive solution-focused session. Thirty adults experiencing depressive symptoms were randomly assigned to either a single session Positive Solutions Focused counseling treatment via Zoom videoconferencing, or the EEG enabled VR psychotherapy system. Participants rated the environment in the VR-EEG therapy as more restorative than Zoom counseling, t = 2.928, p < .004, Cohen’s d = .259, and comparable to the Zoom session in presence. The VR-EEG system performed comparably to Zoom online counseling in clients’ session ratings of depth and smoothness and client reactions, positivity, and arousal. For a treatment to be considered empirically supported, and therefore valid for use in psychotherapy, it must have equal or greater efficacy than a standard treatment or format. VR-EEG, therefore, has promise as a positive, solution-focused, brief therapy for isolated clients with depressive symptoms.
Tacca, Christopher
91179df2-4deb-40fa-9762-9077d9e05210
Kerr, Barbara A.
7fcdfde9-0960-487f-896a-b06e91e5e76f
McLamb, Christopher
6ec17de9-8621-4011-9f59-304c9d3335eb
Ridgway, Kaylie Lyons
48115625-2baf-4599-862c-3b9cc5a863a5
Friis, Elizabeth A.
4602cedc-5e08-4a24-96cc-db84f85d3112
24 May 2024
Tacca, Christopher
91179df2-4deb-40fa-9762-9077d9e05210
Kerr, Barbara A.
7fcdfde9-0960-487f-896a-b06e91e5e76f
McLamb, Christopher
6ec17de9-8621-4011-9f59-304c9d3335eb
Ridgway, Kaylie Lyons
48115625-2baf-4599-862c-3b9cc5a863a5
Friis, Elizabeth A.
4602cedc-5e08-4a24-96cc-db84f85d3112
Tacca, Christopher, Kerr, Barbara A., McLamb, Christopher, Ridgway, Kaylie Lyons and Friis, Elizabeth A.
(2024)
Efficacy of a remote virtual reality and EEG enabled psychotherapy system for the treatment of depressive symptoms.
Frontiers in Virtual Reality, 5, [1281017].
(doi:10.3389/frvir.2024.1281017).
Abstract
More than 40% of the U.S. population have experienced mental health disorders since the COVID-19 pandemic. 40% of this group received no treatment for their mental illness. Barriers to treatment include stigma, prohibitive cost, and a belief that treatment is inaccessible, particularly in isolated or rural communities. A novel remote, EEG-enhanced VR psychotherapy system was assessed for its presence and restorativeness, and therapeutic efficacy in improving mood with a single session positive solution-focused session. Thirty adults experiencing depressive symptoms were randomly assigned to either a single session Positive Solutions Focused counseling treatment via Zoom videoconferencing, or the EEG enabled VR psychotherapy system. Participants rated the environment in the VR-EEG therapy as more restorative than Zoom counseling, t = 2.928, p < .004, Cohen’s d = .259, and comparable to the Zoom session in presence. The VR-EEG system performed comparably to Zoom online counseling in clients’ session ratings of depth and smoothness and client reactions, positivity, and arousal. For a treatment to be considered empirically supported, and therefore valid for use in psychotherapy, it must have equal or greater efficacy than a standard treatment or format. VR-EEG, therefore, has promise as a positive, solution-focused, brief therapy for isolated clients with depressive symptoms.
Text
frvir-05-1281017
- Version of Record
More information
Accepted/In Press date: 22 April 2024
Published date: 24 May 2024
Identifiers
Local EPrints ID: 508923
URI: http://eprints.soton.ac.uk/id/eprint/508923
ISSN: 2673-4192
PURE UUID: 35897f46-d716-464b-b2cd-13888b73a65e
Catalogue record
Date deposited: 06 Feb 2026 17:40
Last modified: 07 Feb 2026 03:27
Export record
Altmetrics
Contributors
Author:
Christopher Tacca
Author:
Barbara A. Kerr
Author:
Christopher McLamb
Author:
Kaylie Lyons Ridgway
Author:
Elizabeth A. Friis
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics