Brain functional connectivity patterns in focal cortical dysplasia related epilepsy
Brain functional connectivity patterns in focal cortical dysplasia related epilepsy
复制标题
局灶性皮质发育不良相关癫痫的脑功能连接模式
DOI：
10.1016/j.seizure.2021.02.009
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发表时间：
2021-04-01
影响因子：
3
通讯作者：
Wu, Xintong
中科院分区：
文献类型：
--
作者：
Liu, Wenyu;Lin, Mintao;Wu, Xintong
目的：局灶性皮质发育不良（FCD）似乎与难治性癫痫密切相关。虽然FCD患者是癫痫手术的候选人，但灰质结构异常可能会超出原发病灶，这使得手术效果较差。本研究的目的是评估与FCD相关的癫痫的功能连接模式，以探讨这种疾病的潜在病理机制。方法：共有34例（14名男性）FCD和癫痫[平均年龄？标准差（SD），24.5？9.8年;范围，8？47岁]和34名年龄匹配的健康对照（14名男性，24.6岁？9.7年）进行功能性磁共振成像。应用独立成分分析（伊卡）、基于种子的功能连接性和图论分析大脑功能连接模式。结果：基于伊卡，患者的背侧注意网络、前部默认模式网络和感觉运动脑网络之间的连接比健康对照者更多。感兴趣区域（ROI）之间的连接性分析显示，额叶和颞叶区域之间的功能连接性更强，但小脑和额叶区域之间的连接性较低。患者组的标准化特征路径长度显著高于对照组，但两组在整体或区域效率、聚类系数和特征路径长度方面均无显著差异。ICA衍生的和基于ROI的功能连接分析表明，大规模神经网络和额颞叶神经网络中的破坏性相互作用和连接障碍，小脑区域可能有助于FCD相关癫痫的潜在病理机制。
Objective: Focal cortical dysplasia (FCD) appears to be strongly associated with intractable epilepsy. Although patients with FCD are candidates for epilepsy surgery, gray matter structural abnormalities can extend beyond the primary lesion, which makes surgery less effective. The objective of this study was to evaluate functional connectivity patterns in epilepsy associated with FCD to explore the underlying pathological mechanism of this disorder.Methods: A total of 34 patients (14 men) with FCD and epilepsy [mean age ? standard deviation (SD), 24.5 ? 9.8 years; range, 8?47 years] and 34 age-matched healthy controls (14 men, 24.6 ? 9.7 years) underwent functional magnetic resonance imaging. Independent component analysis (ICA), seed-based functional connectivity, and graph theory were applied to analyze functional connectivity patterns in the brain.Results: Patients showed more connections among dorsal attention network, anterior default mode network, and sensorimotor brain networks than healthy controls based on ICA. Analysis of connectivity between regions of interest (ROIs) showed greater functional connectivity in patients between frontal and temporal regions, but lower connectivity between the cerebellum and frontal regions. The normalized characteristic path length was significantly higher in group of patients, but the two groups showed no significant differences in global or regional efficiency, clustering coefficient or characteristic path length.Conclusions: Analysis of ICA-derived and ROI-based functional connectivity suggests that disrupted interactions and dysconnectivity in large-scale neural networks and frontotemporal-cerebellar regions may contribute to underlying pathological mechanisms in FCD-related epilepsy.