Features Extraction on Independent Component Analysis Computed on Interictal Magnetoencephalography to Characterize Epileptic Sources-Reference-Cited by-同舟云学术

Features Extraction on Independent Component Analysis Computed on Interictal Magnetoencephalography to Characterize Epileptic Sources

Published:2023-10-16 Issue: Volume: Page:
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Container-title:2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA)
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Author:

Semeux-Bernier Aurore¹,Bonini Francesca²,Fratello Maria³,Garnier Elodie³,Villalon Samuel Medina³,Badier Jean-Michel³,Richard Frédéric⁴,Bénar Christian-George⁴

Affiliation:

1. Aix Marseille Université,INS,Marseille,France

2. APHM,Timone Hospital Epileptology and Cerebral Rhythmology,Marseille,France

3. Aix Marseille Université,INSERM, INS,Marseille,France

4. Aix Marseille Université,CNRS, Centrale Marseille, I2M,Marseille,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10319882/10319991/10320074.pdf?arnumber=10320074

Reference37 articles.

1. Deep brain activities can be detected with magnetoencephalography

2. Localization of the Epileptogenic Zone Using Interictal MEG and Machine Learning in a Large Cohort of Drug-Resistant Epilepsy Patients

3. Electromagnetic brain mapping

4. Magnetoencephalography imaging of high frequency oscillations strengthens presurgical localization and outcome prediction

5. Practical Fundamentals of Clinical MEG Interpretation in Epilepsy

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