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癫痫中不同的功能网络连接模式:一项关于内侧颞叶癫痫和伴中央颞区棘波的良性癫痫的静息态功能磁共振成像研究

Different Functional Network Connectivity Patterns in Epilepsy: A Rest-State fMRI Study on Mesial Temporal Lobe Epilepsy and Benign Epilepsy With Centrotemporal Spike.

作者信息

Fu Cong, Aisikaer Aikedan, Chen Zhijuan, Yu Qing, Yin Jianzhong, Yang Weidong

机构信息

Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.

Department of Radiology, Tianjin First Central Hospital, Tianjin, China.

出版信息

Front Neurol. 2021 May 28;12:668856. doi: 10.3389/fneur.2021.668856. eCollection 2021.

Abstract

The stark discrepancy in the prognosis of epilepsy is closely related to brain damage features and underlying mechanisms, which have not yet been unraveled. In this study, differences in the epileptic brain functional connectivity states were explored through a network-based connectivity analysis between intractable mesial temporal lobe epilepsy (MTLE) patients and benign epilepsy with centrotemporal spikes (BECT). Resting state fMRI imaging data were collected for 14 MTLE patients, 12 BECT patients and 16 healthy controls (HCs). Independent component analysis (ICA) was performed to identify the cortical functional networks. Subcortical nuclei of interest were extracted from the Harvard-Oxford probability atlas. Network-based statistics were used to detect functional connectivity (FC) alterations across intranetworks and internetworks, including the connectivity between cortical networks and subcortical nuclei. Compared with HCs, MTLE patients showed significant lower activity between the connectivity of cortical networks and subcortical nuclei (especially hippocampus) and lower internetwork FC involving the lateral temporal lobe; BECT patients showed normal cortical-subcortical FC with hyperconnectivity between cortical networks. Together, cortical-subcortical hypoconnectivity in MTLE suggested a low efficiency and collaborative network pattern, and this might be relevant to the final decompensatory state and the intractable prognosis. Conversely, cortical-subcortical region with normal connectivity remained well in global cooperativity, and compensatory internetwork hyperconnectivity caused by widespread cortical abnormal discharge, which might account for the self-limited clinical outcome in BECT. Based on the fMRI functional network study, different brain network patterns might provide a better explanation of mechanisms in different types of epilepsy.

摘要

癫痫预后的显著差异与尚未阐明的脑损伤特征和潜在机制密切相关。在本研究中,通过基于网络的连通性分析,探讨了难治性内侧颞叶癫痫(MTLE)患者和中央颞区棘波的良性癫痫(BECT)患者癫痫脑功能连通性状态的差异。收集了14例MTLE患者、12例BECT患者和16名健康对照(HCs)的静息态功能磁共振成像(fMRI)数据。进行独立成分分析(ICA)以识别皮层功能网络。从哈佛-牛津概率图谱中提取感兴趣的皮质下核团。基于网络的统计方法用于检测网络内和网络间的功能连通性(FC)改变,包括皮层网络与皮质下核团之间的连通性。与HCs相比,MTLE患者皮层网络与皮质下核团(尤其是海马体)之间的连通性活动显著降低,涉及颞叶外侧的网络间FC也较低;BECT患者皮层-皮质下FC正常,皮层网络之间存在高连通性。总之,MTLE患者皮层-皮质下低连通性提示网络效率低下和协作模式不佳,这可能与最终的失代偿状态和难治性预后相关。相反,连通性正常的皮层-皮质下区域在整体协同性方面保持良好,广泛的皮层异常放电引起的代偿性网络间高连通性,这可能解释了BECT的自限性临床结局。基于fMRI功能网络研究,不同的脑网络模式可能为不同类型癫痫的机制提供更好的解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7db3/8193721/26a7a9387d23/fneur-12-668856-g0001.jpg

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