Probabilistic Tractography-Based Tremor Network Connectivity in Tremor Dominant Parkinson's Disease and Essential Tremor plus.

IF 2.4 3区 医学 Q3 NEUROSCIENCES Brain connectivity Pub Date : 2024-08-01 Epub Date: 2024-07-03 DOI:10.1089/brain.2023.0066
Shweta Prasad, Archith Rajan, Madhura Ingalhalikar, Rose Dawn Bharath, Jitender Saini, Pramod Kumar Pal
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Abstract

Background: The basal ganglia-thalamocortical (BGTC) and cerebello-thalamocortical (CTC) networks are implicated in tremor genesis; however, exact contributions across disorders have not been studied. Objective: Evaluate the structural connectivity of BGTC and CTC in tremor-dominant Parkinson's disease (TDPD) and essential tremor plus (ETP) with the aid of probabilistic tractography and graph theory analysis. Methods: Structural connectomes of the BGTC and CTC were generated by probabilistic tractography for TDPD (n = 25), ETP (ET with rest tremor, n = 25), and healthy control (HC, n = 22). The Brain Connectivity Toolbox was used for computing standard topological graph measures of segregation, integration, and centrality. Tremor severity was ascertained using the Fahn-Tolosa-Marin tremor rating scale (FTMRS). Results: There was no difference in total FTMRS scores. Compared with HC, TDPD had a lower global efficiency and characteristic path length. Abnormality in segregation, integration, and centrality of bilateral putamen, globus pallidus externa (GPe), and GP interna (GPi), with reduction of centrality of right caudate and cerebellar lobule 8, was observed. ETP showed reduction in segregation and integration of right GPe and GPi, ventrolateral posterior nucleus, and centrality of right putamen, compared with HC. Differences between TDPD and ETP were a reduction of strength of the right putamen, and lower clustering coefficient, local efficiency, and strength of the left GPi in TDPD. Conclusions: Contrary to expectations, TDPD and ETP may not be significantly different with regard to tremor pathogenesis, with definite overlaps. There may be fundamental similarities in network disruption across different tremor disorders with the same tremor activation patterns, along with disease-specific changes.

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基于震颤显性帕金森氏症和震颤加本质性震颤的概率性束流成像的震颤网络连接。
背景:基底节-丘脑皮质(BGTC)和大脑皮质-丘脑皮质(CTC)网络与震颤的发生有关,但对不同疾病的确切贡献尚未进行研究:借助概率牵引成像和图论分析,评估震颤显性帕金森病(TDPD)和本质震颤加(ETP)中 BGTC 和 CTC 的结构连通性:方法:通过概率牵引图生成 TDPD(25 人)、ETP(ET 伴静止性震颤,25 人)和健康对照组(HC,22 人)的 BGTC 和 CTC 结构连接组。大脑连接性工具箱用于计算标准拓扑图的分离度、整合度和中心度。使用法恩-托洛萨-马林震颤评分量表(FTMRS)确定震颤的严重程度:FTMRS 总分没有差异。与 HC 相比,TDPD 的全局效率和特征路径长度较低。双侧丘脑、苍白球外侧(GPe)和苍白球内侧(GPi)的分离、整合和中心性出现异常,右侧尾状体和小脑第 8 小叶的中心性降低。与 HC 相比,ETP 显示右侧 GPe 和 GPi、腹外侧后核的分离和整合以及右侧普塔门的中心性降低。TDPD和ETP之间的差异在于右侧推子的强度降低,TDPD中左侧GPi的聚类系数、局部效率和强度降低:结论:与预期相反,TDPD 和 ETP 在震颤发病机制方面可能没有显著差异,但有一定的重叠。具有相同震颤激活模式的不同震颤障碍在网络破坏方面可能存在基本相似性,同时也存在疾病特异性变化。
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来源期刊
Brain connectivity
Brain connectivity Neuroscience-General Neuroscience
CiteScore
4.80
自引率
0.00%
发文量
80
期刊介绍: Brain Connectivity provides groundbreaking findings in the rapidly advancing field of connectivity research at the systems and network levels. The Journal disseminates information on brain mapping, modeling, novel research techniques, new imaging modalities, preclinical animal studies, and the translation of research discoveries from the laboratory to the clinic. This essential journal fosters the application of basic biological discoveries and contributes to the development of novel diagnostic and therapeutic interventions to recognize and treat a broad range of neurodegenerative and psychiatric disorders such as: Alzheimer’s disease, attention-deficit hyperactivity disorder, posttraumatic stress disorder, epilepsy, traumatic brain injury, stroke, dementia, and depression.
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