Department of Medical Imaging, Jinling Hospital, Medical school of Nanjing University, Nanjing, China.
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Hum Brain Mapp. 2021 Mar;42(4):1102-1115. doi: 10.1002/hbm.25279. Epub 2020 Dec 29.
Generalized tonic-clonic seizures (GTCS) are the severest and most remarkable clinical expressions of human epilepsy. Cortical, subcortical, and cerebellar structures, organized with different network patterns, underlying the pathophysiological substrates of genetic associated epilepsy with GTCS (GE-GTCS) and focal epilepsy associated with focal to bilateral tonic-clonic seizure (FE-FBTS). Structural covariance analysis can delineate the features of epilepsy network related with long-term effects from seizure. Morphometric MRI data of 111 patients with GE-GTCS, 111 patients with FE-FBTS and 111 healthy controls were studied. Cortico-striato-thalao-cerebellar networks of structural covariance within the gray matter were constructed using a Winner-take-all strategy with five cortical parcellations. Comparisons of structural covariance networks were conducted using permutation tests, and module effects of disease duration on networks were conducted using GLM model. Both patient groups showed increased connectivity of structural covariance relative to controls, mainly within the striatum and thalamus, and mostly correlated with the frontal, motor, and somatosensory cortices. Connectivity changes increased as a function of epilepsy durations. FE-FBTS showed more intensive and extensive gray matter changes with volumetric loss and connectivity increment than GE-GTCS. Our findings implicated cortico-striato-thalamo-cerebellar network changes at a large temporal scale in GTCS, with FE-FBTS showing more severe network disruption. The study contributed novel imaging evidence for understanding the different epilepsy syndromes associated with generalized seizures.
全面性强直-阵挛发作(GTCS)是人类癫痫中最严重和最显著的临床特征。皮层、皮层下和小脑结构,以不同的网络模式组织,构成了与 GTCS(GE-GTCS)相关的遗传相关性癫痫和与局灶性到双侧强直-阵挛发作(FE-FBTS)相关的局灶性癫痫的病理生理基础。结构协方差分析可以描绘与癫痫网络相关的长期影响的特征。对 111 例 GE-GTCS 患者、111 例 FE-FBTS 患者和 111 例健康对照者的形态磁共振成像数据进行了研究。采用 Winner-take-all 策略,对 5 个皮质分区进行了灰质结构协方差的皮质纹状体丘脑小脑网络构建。采用置换检验对结构协方差网络进行了比较,采用 GLM 模型对疾病持续时间对网络的模块效应进行了分析。与对照组相比,两组患者均显示出结构协方差的连接性增加,主要位于纹状体和丘脑内,且主要与额、运动和体感皮质相关。连接性变化随着癫痫持续时间的增加而增加。与 GE-GTCS 相比,FE-FBTS 显示出更剧烈和广泛的灰质变化,包括体积损失和连接性增加。我们的研究结果表明,在 GTCS 中存在较大时间尺度的皮质纹状体丘脑小脑网络变化,而 FE-FBTS 则表现出更严重的网络破坏。该研究为理解与全面性发作相关的不同癫痫综合征提供了新的影像学证据。