Investigating the predictive models of efficacy of accelerated neuronavigation-guided rTMS for suicidal depression based on multimodal large-scale brain networks

In summary, our study provides brain connectome-based predictive models of treatment response to accelerated NH-rTMS in MDD patients with suicidal ideation.

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Publication Details

Journal
International Journal of Clinical and Health Psychology
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ijchp.2025.100564
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigating the predictive models of efficacy of accelerated neuronavigation-guided rTMS for suicidal depression based on multimodal large-scale brain networks

Chun-Ju Hou, Junle Li, Xinyi Ye, Desheng Shang et al.
International Journal of Clinical and Health Psychology
Functional Brain Connectivity Studies
article

Investigating the predictive models of efficacy of accelerated neuronavigation-guided rTMS for suicidal depression based on multimodal large-scale brain networks

Chun-Ju Hou, Junle Li, Xinyi Ye, Desheng Shang, Kaiqi Wang, Manli Huang, Jinhui Wang, Haoyang Zhao, Fen Pan, Shangda Li, Suhui Jin, Yan Gui
article en

Abstract

In summary, our study provides brain connectome-based predictive models of treatment response to accelerated NH-rTMS in MDD patients with suicidal ideation.

International Journal of Clinical and Health PsychologyVol. 25(1)
South China Normal University (CN), Zhejiang Lab (CN), First Affiliated Hospital Zhejiang University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Zhejiang University, Medical and Health Research Project of Zhejiang Province, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 94%
Functional Brain Connectivity Studies
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