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基于图论的结构和功能连接性分析揭示经典三叉神经痛患者脑网络的调节机制

Graph theory-driven structural and functional connectivity analyses revealing regulatory mechanisms of brain network in patients with classic trigeminal neuralgia.

作者信息

Wang Zairan, Li Zhimin, Zhou Gang, Liu Jie, Zhao Zongmao, Gao Jun, Li Yongning

机构信息

Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, China.

Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.

出版信息

Brain Imaging Behav. 2025 Feb;19(1):1-11. doi: 10.1007/s11682-024-00915-5. Epub 2024 Oct 10.

Abstract

A specific regulatory mechanism underlying classical trigeminal neuralgia (cTN) remains unknown. The present study posits that the initiation and advancement of cTN may be attributed to a self-regulatory and compensatory mechanism within the brain's limbic system. A sample size of thirty-three patients diagnosed with cTN and twenty-one normal controls were recruited for this investigation. Functional magnetic resonance imaging data were collected from all participants. Graph-theoretic analysis was employed to identify abnormal nodes induced by cTN in the brain atlas, followed by determining the brain network function in conjunction with the outcomes of regional homogeneity (ReHo) and functional connectivity (FC). During data processing, relatively strict thresholds were set for all corrections. The findings indicated that the discrepancy in small-worldness characteristics between the two cohorts primarily stemmed from the characteristic path length. Additionally, there was an overlap between brain regions exhibiting markedly reduced node efficiency in cTN patients and those exhibiting markedly reduced ReHo signal. The FC analysis of the whole brain revealed nine brain regions with reduced connectivity in the cTN group, corresponding to brain regions with diminished node efficiency. Notably, most of these abnormal brain regions were located in the limbic system, providing evidence of the compensatory mechanism of the limbic system.

摘要

经典三叉神经痛(cTN)潜在的特定调节机制尚不清楚。本研究认为,cTN的起始和进展可能归因于大脑边缘系统内的一种自我调节和补偿机制。本研究招募了33例被诊断为cTN的患者和21名正常对照作为样本。收集了所有参与者的功能磁共振成像数据。采用图论分析来识别大脑图谱中由cTN诱发的异常节点,随后结合局部一致性(ReHo)和功能连接(FC)结果确定脑网络功能。在数据处理过程中,对所有校正设置了相对严格的阈值。结果表明,两组之间小世界特性的差异主要源于特征路径长度。此外,cTN患者中节点效率显著降低的脑区与ReHo信号显著降低的脑区存在重叠。对全脑的FC分析显示,cTN组有9个脑区的连接性降低,对应于节点效率降低的脑区。值得注意的是,这些异常脑区大多位于边缘系统,为边缘系统的补偿机制提供了证据。

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