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Neural and behavioral markers of inhibitory control predict symptom improvement during internet-delivered cognitive behavioral therapy for depression

Psychology

Neural and behavioral markers of inhibitory control predict symptom improvement during internet-delivered cognitive behavioral therapy for depression

M. Thai, E. A. Olson, et al.

This groundbreaking study by Michelle Thai and colleagues delves into the impact of inhibitory control on the effectiveness of internet-based cognitive behavioral therapy for major depressive disorder. Discover how stronger baseline inhibitory control is linked to reduced symptoms and better treatment outcomes. Don't miss these fascinating insights!

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Playback language: English
Abstract
Poor inhibitory control contributes to deficits in emotion regulation, often targeted by treatments for major depressive disorder (MDD), including cognitive behavioral therapy (CBT). This study examined whether baseline inhibitory control and resting-state functional connectivity (rsFC) predicted treatment response to internet-based CBT (iCBT) in individuals with MDD. Participants were randomly assigned to iCBT (N=30) or a monitored attention control (MAC) condition (N=30). Elastic net regression predicted post-treatment PHQ-9 scores from baseline variables. Inhibitory control and rsFC within inhibitory control-emotion regulation regions predicted reduced symptom severity following iCBT, more strongly in the iCBT group. These findings suggest stronger baseline inhibitory control predicts better iCBT outcomes.
Publisher
Translational Psychiatry
Published On
Jul 23, 2024
Authors
Michelle Thai, Elizabeth A. Olson, Stefanie Nickels, Daniel G. Dillon, Christian A. Webb, Boyu Ren, William D. S. Killgore, Scott L. Rauch, Isabelle M. Rosso, Diego A. Pizzagalli
Tags
inhibitory control
emotion regulation
major depressive disorder
cognitive behavioral therapy
internet-based treatment
symptom severity
functional connectivity
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