Topographical reorganization of brain functional connectivity during an early period of epileptogenesis.
Topographical reorganization of brain functional connectivity during an early period of epileptogenesis.
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作者：
Li L;He L;Harris N;Zhou Y;Engel J Jr;Bragin A
本研究旨在探讨癫痫发生早期的脑功能网络表征。18只海马内红藻氨酸诱发mTLE模型大鼠用于本实验。在状态后一周进行fMRI测量，随后进行2-4个月的电生理和视频监测。动物被确定为（1）发生癫痫（E+，n=9）;或（2）未发生癫痫（E-，n=6）。另外9只动物作为对照。对fMRI数据进行图论分析，以量化癫痫发生前所有动物的功能性脑网络。频谱聚类与网络特征进行估计其在癫痫发生的预测性。我们的数据表明，与E-和对照动物相比，E+动物的功能连接强度总体上有所增加。E−大鼠的全球网络特征和小世界性与对照组相似，而E+大鼠表现出增加的小世界性，包括增加重组度，聚类系数和全球效率，减少最短路径长度。在E+和E-动物中发现了组合脑网络参数的显著分类。对于局部网络参数，E-大鼠的感觉运动皮层中的枢纽增加，海马中的枢纽减少。E+大鼠表现出海马枢纽的完全丧失，以及前额叶皮质中新枢纽的出现。我们还观察到病变的严重程度与癫痫发生无关。我们的数据提供了一个视图的地形功能脑网络的重组在癫痫发生的早期阶段，以及它如何能够显着预测癫痫的发展。与E−动物的差异为应用非侵入性神经成像工具早期预测癫痫提供了潜在的手段。
The current study aims to investigate functional brain network representations during the early period of epileptogenesis. 18 rats with the intrahippocampal kainate model of mTLE were used for this experiment. fMRI measurements were made one week after status, followed by 2–4 month electrophysiological and video monitoring. Animals were identified as having (1) developed epilepsy (E+, n=9); or (2) not developed epilepsy (E−, n=6). 9 additional animals served as controls. Graph theory analysis was performed on the fMRI data to quantify the functional brain networks in all animals prior to the development of epilepsy. Spectrum clustering with the network features was performed to estimate their predictability in epileptogenesis. Our data indicated that E+ animals showed an overall increase in functional connectivity strength compared to E− and control animals. Global network features and small-worldness of E− rats were similar to controls, while E+ rats demonstrated an increased small-worldness, including increased reorganization degree, clustering coefficient, and global efficiency, with reduced shortest pathlength. A notable classification of the combined brain network parameters were found in E+ and E− animals. For the local network parameters, the E− rats showed increased hubs in sensorimotor cortex, and decreased hubness in hippocampus. The E+ rats showed a complete loss of hippocampal hubs, and the appearance of new hubs in the prefrontal cortex. We also observed that lesion severity was not related to epileptogenesis. Our data provide a view of the reorganization of topographical functional brain networks in the early period of epileptogenesis and how it can significantly predict the development of epilepsy. The differences from E− animals offer a potential means for applying non-invasive neuroimaging tools for the early prediction of epilepsy.
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