癫痫脑磁图的核格兰杰因果分析

Nuclear Granger Causality Analysis of Epileptic Magnetoencephalogram

为正确识别和定位致痫灶,将颞叶癫痫患者、健康对照组的脑磁图信号按照脑区进行划分,运用核格兰杰因果算法,分别计算两组人群两两脑区之间的核格兰杰因果的强度和方向,研究不同人群脑区之间的神经信息流动变化情况。结果提示,相对于健康对照组而言,颞叶癫痫患者具有更强的网络连接,且信息流多从MLT、MRT脑区流向其他脑区,这可为致痫灶的定位提供有力辅助依据,为癫痫的诊治提供新的研究思路与途径。

Aiming to correctly identify and locate the seizure focus,the magnetoencephalography signals of patients with temporallobeepilepsy and healthy control group were divided according to brain regions.The intensity and direction of nuclear Granger causality between two brain regions of the two groups were calculated by using nuclear Granger causality algorithm,and the changes of neural information flow between brain regions of different populatiseizure focus studied.The results indicate that compared with the healthy control group,patients with temporallobeepilepsy have stronger network connection,and the information flow mostly flows from MLT and MRT brain regions to other brain regions,which can provide a strong auxiliary basis for the localization of seizure focus and provide new research ideas and approaches for the diagnosis and treatment of epilepsy.