在DRE患者中,大脑网络功能连接和拓性质的变化
Yongqiang Ding1, Kunlin Guo2, Jialiang Li3
1Department of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Frontiers in neurology
|December 20, 2023
概括
与健康个体相比,耐药性 (DRE) 患者表现出大脑网络拓的改变. 功能连接和网络属性的这些变化在不同的脑波频率上有所不同,为DRE病理生理学提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 的研究研究.
- 大脑网络分析 脑网络分析
背景情况:
- 是一种神经系统疾病,其特点是经常性发作.
- 耐药性 (DRE) 影响了大量患者,需要使用替代治疗策略.
- 了解DRE中潜在的大脑网络的改变对于开发向疗法至关重要.
研究的目的:
- 调查DRE患者和健康对照者 (HC) 之间的间歇期功能网络拓学的差异.
- 通过使用脑电图 (EEG) 来分析各种频段的网络特性变化.
- 为了解DRE病理网络变化提供理论基础.
主要方法:
- 对十名DRE患者和五名性别年龄匹配的HC患者的EEG数据的回顾性分析.
- 计算加权阶段滞后指数 (wPLI) 和网络属性 (集群系数,节点程度,总效率,特征路径长度).
- 对EEG数据进行带宽过,将其分为三角波,三角波,α,β和波频段,并进行统计分析和FDR校正.
主要成果:
- 与HC相比,DRE患者的整体功能连接性明显较低.
- 在全频带中,DRE显示集群系数,节点度和总效率下降,特征路径长度增加.
- 观察到特定频率的变化:在三角波段的连接性较低,在α,β和gamma波段的连接性更高;改变了网络属性和跨波段的特性路径长度.
结论:
- 与健康个体相比,DRE患者的功能网络拓显著改变.
- 这些拓变化在各种频段中表现得不同.
- 这些发现提供了对DRE特征的病理网络变化的基本理解.
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