TY - JOUR
T1 - Readiness to change
T2 - Exploring clinical, cognitive and neural predictors of treatment efficacy following virtual reality-based cognitive remediation in mood and schizophrenia spectrum disorders
AU - Jespersen, Andreas Elleby
AU - Montejo, Laura
AU - Damgaard, Viktoria
AU - Macoveanu, Julian
AU - Fortea, Lydia
AU - Vinberg, Maj
AU - Glenthøj, Louise Birkedal
AU - Nordentoft, Merete
AU - Knudsen, Gitte M.
AU - Wæhrens, Eva Ejlersen
AU - Lumbye, Anders
AU - Vieta, Eduard
AU - Miskowiak, Kamilla Woznica
N1 - Publisher Copyright:
Copyright © 2026. Published by Elsevier B.V.
PY - 2026/6/15
Y1 - 2026/6/15
N2 - Background Virtual reality-based cognitive remediation therapy (VR-CRT) offers an ecologically valid approach to enhance real-world cognitive functioning in mood disorders (MD) or schizophrenia spectrum disorders (SSD). This study investigated baseline cognitive, clinical, and neural predictors of VR-CRT response in MD and SSD. Methods Sixty-two MD and SSD participants were randomized to receive four-week VR-CRT or control with assessments at baseline, treatment completion (week 5), and follow-up (week 17). Univariate general linear models examined predictors of VR-CRT improvement on daily-life cognitive skills, assessed using the Cognition Assessment in Virtual Reality (CAVIR). Predictors included age, diagnosis, baseline cognition, IQ-cognition discrepancy, dorsal prefrontal cortex (dPFC) activation during a working memory task, functional connectivity within the dorsal attention (DAN) and salience (SAL) networks, subjective cognition, and technological acceptance. Results Higher IQ-cognition discrepancy at baseline (i.e., better cognitive performance than expected from premorbid IQ) predicted greater treatment efficacy at treatment completion (β = 0.17, p = 0.045) and follow-up (β = 0.21, p = 0.008), while baseline cognition was not associated with treatment response (ps ≥ 0.15). Higher baseline dPFC activity predicted more improvements at both times (β = 2.27 p = 0.03; β = 1.82; p = 0.048, respectively). Higher DAN–SAL connectivity predicted improvements at treatment completion (β = 2.81 p = 0.047), but not at follow-up ( p = 0.38). Age, sex, diagnosis, subjective cognition, and technological acceptance were not associated with cognitive change. Conclusions Better cognitive performance than expected based on IQ, possibly reflecting higher cognitive fitness, and greater task-related engagement of dPFC may enhance VR-CRT responsiveness. This profile may indicate greater readiness for change and propensity to translate cognitive strategies into daily life.
AB - Background Virtual reality-based cognitive remediation therapy (VR-CRT) offers an ecologically valid approach to enhance real-world cognitive functioning in mood disorders (MD) or schizophrenia spectrum disorders (SSD). This study investigated baseline cognitive, clinical, and neural predictors of VR-CRT response in MD and SSD. Methods Sixty-two MD and SSD participants were randomized to receive four-week VR-CRT or control with assessments at baseline, treatment completion (week 5), and follow-up (week 17). Univariate general linear models examined predictors of VR-CRT improvement on daily-life cognitive skills, assessed using the Cognition Assessment in Virtual Reality (CAVIR). Predictors included age, diagnosis, baseline cognition, IQ-cognition discrepancy, dorsal prefrontal cortex (dPFC) activation during a working memory task, functional connectivity within the dorsal attention (DAN) and salience (SAL) networks, subjective cognition, and technological acceptance. Results Higher IQ-cognition discrepancy at baseline (i.e., better cognitive performance than expected from premorbid IQ) predicted greater treatment efficacy at treatment completion (β = 0.17, p = 0.045) and follow-up (β = 0.21, p = 0.008), while baseline cognition was not associated with treatment response (ps ≥ 0.15). Higher baseline dPFC activity predicted more improvements at both times (β = 2.27 p = 0.03; β = 1.82; p = 0.048, respectively). Higher DAN–SAL connectivity predicted improvements at treatment completion (β = 2.81 p = 0.047), but not at follow-up ( p = 0.38). Age, sex, diagnosis, subjective cognition, and technological acceptance were not associated with cognitive change. Conclusions Better cognitive performance than expected based on IQ, possibly reflecting higher cognitive fitness, and greater task-related engagement of dPFC may enhance VR-CRT responsiveness. This profile may indicate greater readiness for change and propensity to translate cognitive strategies into daily life.
KW - Bipolar disorder
KW - Cognitive remediation
KW - Depression
KW - Mood disorders
KW - Schizophrenia
KW - Treatment predictors
KW - Virtual reality
UR - https://www.scopus.com/pages/publications/105030966401
U2 - 10.1016/j.jad.2026.121482
DO - 10.1016/j.jad.2026.121482
M3 - Journal article
C2 - 41730352
AN - SCOPUS:105030966401
SN - 0165-0327
VL - 403
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
M1 - 121482
ER -