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Updated: Sep 13, 2025

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
Published on: August 2, 2021
A scalable mental health intervention for depressive symptoms: evidence from a randomized controlled trial and
Jianjie Xu1, Zhuo Rachel Han2, Xiangxi Lv1
1Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, National Virtual Simulation Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China.
Abstract:
Depressive symptoms pose a serious global threat to well-being, highlighting the need for scalable mental health interventions. E-mental health interventions offer promising population-level solutions, yet few are grounded in theory or tested on large samples. This study utilizes an innovative e-mental health intervention based on the Extended Process Model of Emotion Regulation and examines the effectiveness of this theory-based intervention across a randomized controlled trial (RCT, N = 187; Chinese Clinical Trial Registry: ChiCTR2400081964; registration date: March 18th, 2024) and two extensive real-world studies (Nstudy 2 = 11,554, Nstudy 3 = 44,018) conducted with adults in China. The RCT confirmed the efficacy of this intervention, and both of the real-world e-mental health intervention studies showed a decrease in depressive symptoms (35-36%) and an increase in well-being (14-16%) over 21 days. These findings highlight the potential of theory-based e-mental health interventions as scalable solutions for early depression intervention and prevention, offering substantial societal and economic advantages.
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