静态和动态的跨网络功能连接显示了精神分裂症患者的升
Natalia Maksymchuk1, Robyn L Miller1, Juan R Bustillo2
1Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.
Human brain mapping
|February 10, 2025
概括
精神分裂症患者表现出改变的大脑连接模式. 一种新的方法,网络间连接 (ICE),显示SZ患者的随机性更高.
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.
- 计算生物学 计算生物学
背景情况:
- 精神分裂症 (SZ) 的特征是异常的静态和动态功能性大脑连接.
- 了解这些连接性改变对于诊断和治疗SZ至关重要.
- 现有的方法可能无法完全捕捉大脑网络相互作用的异质性.
研究的目的:
- 引入和验证一种新的方法,即网络间连接 (ICE),用于评估大脑连接.
- 调查SZ患者和健康对照 (HC) 之间的静态和动态ICE差异.
- 探索ICE作为心理健康状况诊断工具的潜力.
主要方法:
- 对151名SZ患者和160名HC患者的功能磁共振成像 (fMRI) 数据的分析.
- 在多个大脑网络中计算静态和动态的网络间连接 (ICE).
- 应用C-means模糊集群和K-means集群来分析ICE模式.
主要成果:
- 在SZ患者和HC患者之间发现了连接水平异质性的显著差异.
- SZ患者表现出较高的ICE,表明随机性更高的时间变化的连接强度.
- 聚类分析揭示了与SZ和HC组相关的独特连接模式,SZ患者显示较弱,较低规模的相关性.
结论:
- 拟议的ICE措施为了解健康和疾病中的大脑连接提供了一个新的框架.
- 动态ICE分析表明,与HC相比,SZ患者更不容易表现出集中和结构化的短暂连接模式.
- 作为一种先进的方法来诊断精神健康状况,如精神分裂症,ICE具有前途.
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