在MRI阴性药物耐药性患者中识别异常的闭环通路
Jinxin Bu1, Nanxiao Ren1, Yonglu Wang2
1Department of Functional Neurosurgery, Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
Brain imaging and behavior
|April 9, 2024
概括
研究人员在患者中确定了异常的大脑网络通路,可能有助于诊断和个性化治疗. 这些全脑网络异常与的认知和情绪障碍有关.
科学领域:
- 神经科学是一个神经科学.
- 系统神经科学 系统神经科学
- 医疗成像医学成像
背景情况:
- 是一种大脑网络障碍,经常伴随着认知和情绪缺陷.
- 目前关于闭环途径的研究仅限于神经元水平或已知的途径,缺乏全脑网络分析.
- 对中全脑网络异常的研究很少.
研究的目的:
- 在磁共振成像阴性药物耐药性 (MRIneg-PRE) 患者中研究稳定的闭环通路中的全脑网络异常.
- 在MRIneg-PRE中确定异常闭环路径和认知/情绪障碍之间的关联.
- 探索这些途径作为诊断生物标记物的潜力.
主要方法:
- 从26名MRIneg-PRE患者和26名健康对照 (HC) 的休息状态功能性MRI数据构建了因果和时间延迟大脑网络.
- 利用约翰逊算法识别稳定的闭环路径.
- 进行了皮尔森相关性分析,以检查异常路径和损伤之间的关联.
主要成果:
- 与HC相比,MRIneg-PRE患者的额叶,额叶和叶分布的异常稳定闭环通路被确定.
- 观察到大脑半球内和大脑半球之间功能连接的改变.
- 在叶中发现了四条异常的闭环通路,与情绪和认知障碍相关.
结论:
- 整个大脑网络中的异常稳定闭环通路存在于MRIneg-PRE中.
- 这些通路,特别是在叶,与认知和情绪缺陷相关.
- 异常的闭环路径可以作为诊断MRIneg-PRE和指导个性化治疗的生物标志物.
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