机构：[1]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China[2]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China[3]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China神经内科首都医科大学宣武医院
In recent years, magnetoencephalography (MEG) has played a prominent role on neocortical epilepsy preoperative evaluation. However, its clinical utility with locating deeper sources may be more challenging such as the mesial temporal structures. We proposed a new source imaging algorithm for finding the epileptogenic zone in mesial temporal lobe epilepsy (mTLE). Since the localization results using the Elekta MEG method are very sensitive to some MEG noises, the source modeling was modified by spatial filtering in wavelet domain and cortex constraint. Two surgical patients randomly selected with medically refractory mTLE, which were diagnosed based on a comprehensive preoperative evaluation, had been studied in this manuscript. The localization results using proposed method on individual MRI showed that the deeper regions had been exactly found in the mesial temporal lobe. Yet, the results using the Elekta Neuromag Software only appeared in the lateral temporal lobe. Thus, the proposed algorithm maybe become an effective method in detecting deeper epileptogenic zone.
基金：
National Key Research and Development program of the Ministry of Science and Technology (grant number 2016YFF0201002),
the Natural Science Foundation of China (grant numbers 61301005 and 61572055),
the Natural Science Project of National Statistical Bureau (2014LY088),
the project of Brain Functional Disease and Neuromodulation of Beijing Key Laboratory,
‘Thousands of People Plan’Workstation between Beihang University
Jiangsu Yuwell Medical Equipment & Supply Co.Ltd.
语种：
外文
被引次数：
WOS：
第一作者：
第一作者机构：[1]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China[2]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
通讯作者：
通讯机构：[1]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China[2]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
推荐引用方式(GB/T 7714)：
Yegang Hu,Yicong Lin,Baoshan Yang,et al.MEG Source Imaging Algorithm for Finding Deeper Epileptogenic Zone[J].ADVANCED COMPUTATIONAL METHODS IN LIFE SYSTEM MODELING AND SIMULATION, LSMS 2017, PT I.2017,761:doi:10.1007/978-981-10-6370-1_53.
APA：
Yegang Hu,Yicong Lin,Baoshan Yang,Guangrui Tang,Yuping Wang&Jicong Zhang.(2017).MEG Source Imaging Algorithm for Finding Deeper Epileptogenic Zone.ADVANCED COMPUTATIONAL METHODS IN LIFE SYSTEM MODELING AND SIMULATION, LSMS 2017, PT I,761,
MLA：
Yegang Hu,et al."MEG Source Imaging Algorithm for Finding Deeper Epileptogenic Zone".ADVANCED COMPUTATIONAL METHODS IN LIFE SYSTEM MODELING AND SIMULATION, LSMS 2017, PT I 761.(2017)
