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基于概率学曲谱的震网络连接在震中主导的帕金森病和基本震加上

Shweta Prasad¹, Archith Rajan¹, Madhura Ingalhalikar²

¹Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.

Brain connectivity

|June 14, 2024

概括

基底-甲状腺皮层和大脑-甲状腺皮层网络的结构连接显示了震主导的帕金森病和基本震的重叠异常,表明类似的网络中断.

科学领域:

神经科学是一个神经科学.
神经学神经学
系统神经科学系统神经科学

背景情况:

基本状体 - - 甲状腺皮层 (BGTC) 和大脑 - - 甲状腺皮层 (CTC) 网络对于运动控制至关重要,并与震有关.
这些网络对不同震障碍的确切贡献尚不清楚.

研究的目的:

为了比较BGTC和CTC网络在震主导帕金森病 (TDPD) 和基本震加 (ETP) 的结构连接.
调查网络拓在这些疾病中震起源中的作用.

主要方法:

使用概率性通道图来生成TDPD (n=25),ETP (n=25) 和健康对照 (HC,n=22) 的结构连接体.
图形理论分析 (使用大脑连接工具箱) 评估了网络分离,集成和中心性.
使用Fahn-Tolosa-Marin震评级尺度 (FTMRS) 量化震的严重程度.

主要成果:

与HC相比,TDPD的整体效率和特征路径长度降低了.
无论是TDPD还是ETP,都显示出特定皮下和大脑小脑区域的分离,整合和中心性的异常.
对于TDPD,TDPD和ETP之间的差异包括右骨的强度降低和左球内 (GPi) 的较低的聚合系数/局部效率.

结论:

与预期相反,TDPD和ETP在与病原发生有关的网络中断方面具有显著的重叠.
网络变化的基本相似性可能是类似震模式的疾病中震的基础.
结构连接的疾病特异性变化也导致了TDPD和ETP的独特形状.

关键词:

在 ETP ETP 中使用.在TDPD中,TDPD是TDPD.图形理论中的图形理论.概率学是一种概率学.结构连接性的结构连接性

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