Patient-specific connectivity pattern of epileptic network in frontal lobe epilepsy
Patient-specific connectivity pattern of epileptic network in frontal lobe epilepsy
复制标题
额叶癫痫患者特异性癫痫网络连接模式
DOI：
10.1016/j.nicl.2014.04.006
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发表时间：
2014-01-01
影响因子：
4.2
通讯作者：
Gotman, Jean
中科院分区：
文献类型：
--
作者：
Luo, Cheng;An, Dongmei;Gotman, Jean
有证据表明局灶性癫痫除局灶区域外，还可能涉及脑网络功能障碍。为了描述这种癫痫网络的特征，我们收集了23例额叶癫痫患者的EEG/fMRI数据。对于每个患者，首先进行EEG/fMRI分析以确定BOLD对癫痫尖峰的反应。然后选择额叶最大激活簇作为种子，在fMRI数据中识别癫痫网络。对63名健康对照者进行了相同区域的功能连接分析。9个特征被用来评估癫痫网络模式的差异在三个连接水平之间的患者和对照组。与对照组相比，患者在癫痫发生区域和大脑其他部分之间表现出更多的功能性连接，并且表现出更高的偏侧性。然而，种子附近的连接显著增加，但种子与偏远地区之间的连接实际上减少了。比较有间断性癫痫放电（IEDs）和没有IEDs的fMRI运行，患者特异性连接模式没有显着改变。这些关于FLE中癫痫网络的患者特异性连接模式的发现反映了与健康对照不同的局部高连接和与远端区域的连接。此外，两组在大多数特征上的差异是在三个连接级别中最严格的连接级别中观察到的。异常高的连通性可能反映了癫痫网络的一个主要属性，这可能促进癫痫活动在网络区域之间的传播。(C) 2014年作者。Elsevier Inc.出版。
There is evidence that focal epilepsy may involve the dysfunction of a brain network in addition to the focal region. To delineate the characteristics of this epileptic network, we collected EEG/fMRI data from 23 patients with frontal lobe epilepsy. For each patient, EEG/fMRI analysis was first performed to determine the BOLD response to epileptic spikes. The maximum activation cluster in the frontal lobe was then chosen as the seed to identify the epileptic network in fMRI data. Functional connectivity analysis seeded at the same region was also performed in 63 healthy control subjects. Nine features were used to evaluate the differences of epileptic network patterns in three connection levels between patients and controls. Compared with control subjects, patients showed overall more functional connections between the epileptogenic region and the rest of the brain and higher laterality. However, the significantly increased connections were located in the neighborhood of the seed, but the connections between the seed and remote regions actually decreased. Comparing fMRI runs with interictal epileptic discharges (IEDs) and without IEDs, the patient-specific connectivity pattern was not changed significantly. These findings regarding patient-specific connectivity patterns of epileptic networks in FLE reflect local high connectivity and connections with distant regions differing from those of healthy controls. Moreover, the difference between the two groups in most features was observed in the strictest of the three connection levels. The abnormally high connectivity might reflect a predominant attribute of the epileptic network, which may facilitate propagation of epileptic activity among regions in the network. (C) 2014 The Authors. Published by Elsevier Inc.