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

Different Functional Network Connectivity Patterns in Epilepsy: A Rest-State fMRI Study on Mesial Temporal Lobe Epilepsy and Benign Epilepsy With Centrotemporal Spike.
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DOI:
10.3389/fneur.2021.668856
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发表时间:
2021
影响因子:
3.4
通讯作者:
Yang W
Yang W
中科院分区:
医学3区
文献类型:
--
作者:
Fu C;Aisikaer A;Chen Z;Yu Q;Yin J;Yang W

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癫痫预后的显著差异与脑损伤特征和潜在机制密切相关,这些特征和机制尚未阐明。在这项研究中,癫痫脑功能连接状态的差异进行了探讨,通过基于网络的连接分析之间的难治性内侧颞叶癫痫(MTLE)患者和良性癫痫与中央颞棘波(BECT)。收集14例MTLE患者、12例BECT患者和16例健康对照者(HC)的静息状态fMRI成像数据。独立成分分析(伊卡)进行识别的皮质功能网络。从哈佛-牛津概率图谱中提取感兴趣的皮质下核。基于网络的统计被用来检测跨内联网和互联网的功能连接(FC)的改变,包括皮质网络和皮质下核之间的连接。与HCs相比,MTLE患者显示皮质网络和皮质下核团(尤其是海马)之间的连接活性显著降低,涉及外侧颞叶的网络间FC较低; BECT患者显示正常皮质-皮质下FC,皮质网络之间存在超连接。总之,MTLE中的皮质-皮质下低连通性提示了低效率和协作网络模式,这可能与最终的失代偿状态和难治性预后相关。相反,皮质-皮质下区域的正常连接保持良好的整体协作性,以及广泛的皮质异常放电引起的代偿性网络间超连接,这可能是BECT自限性临床结局的原因。基于fMRI功能网络的研究,不同的脑网络模式可能会提供一个更好的解释不同类型的癫痫机制。
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.
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