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    MEG Source Imaging Algorithm for Finding Deeper Epileptogenic Zone

    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.

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    Title :

    MEG Source Imaging Algorithm for Finding Deeper Epileptogenic Zone

    Contributors:
    Hu, Yegang (author) / Lin, Yicong (author) / Yang, Baoshan (author) / Tang, Guangrui (author) / Wang, Yuping (author) / Zhang, Jicong (author)
    Published in:

    Advanced Computational Methods in Life System Modeling and Simulation ; 7 ; 536-544

    Communications in Computer and Information Science ; 761 , 7

    Publication date :

    2017-01-01

    Size :

    9 pages

    ISBN :

    978-981-10-6369-5 , 978-981-10-6370-1

    ISSN :

    1865-0929 , 1865-0937

    DOI :

    https://doi.org/10.1007/978-981-10-6370-1_53

    Type of media :

    Article/Chapter (Book)

    Type of material :

    Electronic Resource

    Language :

    English

    Keywords :

    Epileptogenic zone , Magnetoencephalography , Magnetic source imaging , Mesial temporal lobe epilepsy Computer Science , Simulation and Modeling , Computational Biology/Bioinformatics , Health Informatics

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