基于多模态大规模脑网络的加速神经导航引导rTMS治疗自杀抑郁症疗效预测模型的研究

IF 5.3 1区心理学 Q1 PSYCHOLOGY, CLINICAL

International Journal of Clinical and Health Psychology Pub Date : 2025-01-01 DOI:10.1016/j.ijchp.2025.100564

Fen Pan , Junle Li , Suhui Jin , Chensheng Hou , Yan Gui , Xinyi Ye , Haoyang Zhao , Kaiqi Wang , Desheng Shang , Shangda Li , Jinhui Wang , Manli Huang

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引用次数: 0

摘要

背景：加速神经导航引导下的高剂量重复经颅磁刺激（NH-rTMS）能在一周内迅速降低自杀意念，缓解抑郁症状。探索加速nh - rtms相关的生物标志物将提高重度抑郁症（MDD）患者治疗决策的准确性。本研究旨在建立基于多模态大规模脑网络的加速NH-rTMS治疗MDD疗效预测模型。方法在本研究中，在NH-rTMS加速治疗前，对未治疗的有自杀意念的MDD患者进行脑形态、结构和功能网络的构建。采用线性支持向量回归方法检验多模态脑网络预测加速NH-rTMS抗抑郁和抗自杀效果的能力。结果形态网络和结构网络均能预测自杀意念贝克量表总分和汉密尔顿抑郁评定量表（HAMD-24）总分的百分比变化。此外，功能网络预测HAMD-24总分的百分比变化。进一步的分析表明，结构网络在预测方面优于形态和功能网络，而躯体运动模块优于其他子网络。综上所述，我们的研究提供了基于脑连接体的预测模型，可以预测有自杀意念的重度抑郁症患者对加速NH-rTMS的治疗反应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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

Background

Accelerated neuronavigation-guided high-dose repetitive transcranial magnetic stimulation (NH-rTMS) can rapidly reduce suicidal ideation and alleviate depressive symptoms in one week. Exploring accelerated NH-rTMS-related biomarkers will enhance the precision of treatment decisions for patients with major depressive disorder (MDD). This study aimed to establish predictive models of treatment response to accelerated NH-rTMS in MDD based on multimodal large-scale brain networks.

Method

In this study, morphological, structural, and functional brain networks were constructed for untreated MDD patients with suicidal ideation before accelerated NH-rTMS treatment. Linear support vector regression methods were utilized to examine the ability of multimodal brain networks in predicting antidepressant and anti-suicidal effects of accelerated NH-rTMS.

Results

We found that both the morphological and structural networks predicted the percentage changes of total Beck Scale of Suicidal Ideation and 24-item Hamilton Depression Rating Scale (HAMD-24) scores. Additionally, the functional networks predicted the percentage changes of total HAMD-24 scores. Further analyses revealed that the structural networks outperformed the morphological and functional networks and the somatomotor module outperformed other subnetworks in the prediction.

Conclusions

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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来源期刊

International Journal of Clinical and Health Psychology PSYCHOLOGY, CLINICAL-

CiteScore

10.70

自引率

5.70%

发文量

审稿时长

33 days

期刊介绍： The International Journal of Clinical and Health Psychology is dedicated to publishing manuscripts with a strong emphasis on both basic and applied research, encompassing experimental, clinical, and theoretical contributions that advance the fields of Clinical and Health Psychology. With a focus on four core domains—clinical psychology and psychotherapy, psychopathology, health psychology, and clinical neurosciences—the IJCHP seeks to provide a comprehensive platform for scholarly discourse and innovation. The journal accepts Original Articles (empirical studies) and Review Articles. Manuscripts submitted to IJCHP should be original and not previously published or under consideration elsewhere. All signing authors must unanimously agree on the submitted version of the manuscript. By submitting their work, authors agree to transfer their copyrights to the Journal for the duration of the editorial process.