结构性大脑连接和治疗 情绪障碍的改善
Sébastien Dam1, Jean-Marie Batail2,3, Gabriel H Robert1,2,3
1Univ Rennes, Inria, CNRS, IRISA, INSERM, Empenn U1228 ERL, Rennes, France.
Brain connectivity
|March 27, 2024
概括
耐治疗性抑郁症涉及到大脑连接的改变,特别是在基底和默认模式网络中. 识别这些结构性大脑差异可以改善情绪障碍的治疗策略.
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:
- 对于许多人来说,情绪障碍的标准治疗是有效的,但超过三分之一的患者表现出治疗耐药性.
- 了解治疗耐药抑郁症的神经生物学基础对于避免无效疗法和优化患者治疗结果至关重要.
研究的目的:
- 研究情绪障碍患者的结构性大脑连接差异,区分治疗改善和未改善的个体.
- 为了确定与情绪障碍治疗抵抗相关的大脑结构相关者.
主要方法:
- 扩散磁共振成像 (dMRI) 用于在154名情绪障碍患者和77名健康对照中进行结构连接分析.
- 基于网络的统计 (NBS) 和图形理论指标被用来分析区域网络架构和全球连接组组织.
- 患者在基线和6个月随访时被评估,根据临床评估分类为改善或不改善 (NI).
主要成果:
- 情绪障碍患者与健康对照人群相比,表现出基底腺连接受损.
- 在情绪障碍组中,在语言圈,胰岛和杏仁核中观察到局部效率和聚类的增加.
- 与没有改善的患者相比,改善的患者在默认模式网络区域 (前,中叶,正面前带膜) 的网络集成和隔离减少.
结论:
- 基底,前边边缘网络和默认模式网络的结构性连接性改变与情绪障碍有关.
- 这些发现增强了对情绪障碍病理生理学的理解,以及导致治疗不良结果的因素.
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