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基于MRI的独特功能和结构连接性,用于预测主要抑郁症障碍中的抗抑郁药反应

Xinyi Wang¹, Li Xue¹, Junneng Shao¹

¹School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing 210096, China.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

|February 17, 2024

概括

这项研究揭示了不同的大脑连接模式,预测了主要抑郁症 (MDD) 中抗抑郁药的反应. 结构和功能连接独特地告知治疗结果,提供新的神经生理学见解.

科学领域:

神经科学是一个神经科学.
精神病学是一个精神病学.
医疗成像医学成像

背景情况:

大型抑郁症 (MDD) 的治疗反应可以通过大脑连接组模式来预测.
同时分析结构连接性 (SC) 和功能连接性 (FC) 以预测治疗反应尚未得到充分研究.

研究的目的:

调查SC和FC的共享或独特的空间分布是否预测MDD中抗抑郁药治疗反应.
评估结构性,功能性和组合连接体的预测能力,以减少症状.

主要方法:

使用扩散张力成像和休息状态功能性MRI从210名MDD患者.
开发了基于连接组的预测模型 (CPM) 来预测6周单一治疗后的症状减轻.
在外部数据集上验证了CPM,并确定了预测性SC和FC模式.

主要成果:

结构连接体 (r=0.2857),功能连接体 (r=0.2057) 和组合的CPM (r=0.4) 显著预测了抑郁症严重程度的减少.
在预测性SC和FC之间没有发现共享的连接模式.
预测性FC涉及默认模式网络;预测性SC涉及前端-边缘网络.

结论:

独特的SC和FC模式独特地捕捉了抗抑郁药反应的各个方面.
这些发现为MDD中抗抑郁药反应的神经生理学提供了全面的见解.

关键词:

抗抑郁药物反应的反应基于Connectome的预测模型扩散张力成像扩散张力成像功能连接的功能连接.休息状态功能共振成像结构连接性结构连接性

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