学习诱导的大脑网络的拓,稳定性和不稳定性在精神分裂症中发挥作用
Emmanuel D Meram1, Shahira Baajour1, Asadur Chowdury1
1Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA.
精神分裂症 (SCZ) 患者在关联式学习任务中表现出改变的大脑网络拓. 在SCZ中,网络的不组织似乎取决于上下文,这凸显了对动态网络神经科学方法的需求.
科学领域:
- 神经科学是一个神经科学.
- 网络神经科学 网络神经科学
- 精神病学是一个精神病学.
背景情况:
- 在基于任务的精神分裂症研究中,图形理论方法未得到充分利用.
- 基于任务的范式可以调节大脑网络动态和拓.
- 了解任务诱导的拓变化可能会揭示精神分裂症中不稳定的网络特征.
研究的目的:
- 在关联式学习任务中调查精神分裂症患者和健康对照者之间的图形理论网络拓差异.
- 检查不同任务条件如何影响大脑网络拓学的群体间差异.
主要方法:
- 利用了32名精神分裂症患者和27名健康对照组 (n=59人) 的功能磁共振成像 (fMRI) 数据.
- 采用一种具有四个条件的关联式学习任务:记忆形成,编码后巩固,记忆检索和检索后巩固.
- 计算了betweenness中心性 (BC),这是节点集成的度量,以概括每个条件下的网络拓.
主要成果:
- 与对照组相比,精神分裂症患者在多个节点和疾病中表现出BC的显著差异.
- 患者在高度整合性节点显示BC降低,在不太整合性节点显示BC增加.
- 节点排名在各种条件中表现出不一致,在精神分裂症中观察到复杂的稳定性和不稳定性模式.
结论:
- 任务条件导致精神分裂症中显著而多样化的网络失调.
- 精神分裂症的"失联综合征"可能是一个上下文引起的过程.
- 网络神经科学工具应该专注于阐明精神分裂症中网络失调组织的动态极限.
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