@inproceedings{a468d6cd1dd34ac0b48144ee0b4b7d4b,
title = "MEG source imaging algorithm for finding deeper epileptogenic zone",
abstract = "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.",
keywords = "Epileptogenic zone, Magnetic source imaging, Magnetoencephalography, Mesial temporal lobe epilepsy",
author = "Yegang Hu and Yicong Lin and Baoshan Yang and Guangrui Tang and Yuping Wang and Jicong Zhang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 ; Conference date: 22-09-2017 Through 24-09-2017",
year = "2017",
doi = "10.1007/978-981-10-6370-1\_53",
language = "英语",
isbn = "9789811063695",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "536--544",
editor = "Minrui Fei and Shiwei Ma and Xin Li and Xin Sun and Li Jia and Zhou Su",
booktitle = "Advanced Computational Methods in Life System Modeling and Simulation - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Proceedings",
address = "德国",
}