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Iranian Journal of Radiology

An Innovative Journal in the Field of Radiology

e-ISSN 2008-2711
p-ISSN 1735-1065
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https://doi.org/10.5812/iranjradiol.99134

Epilepsy Presurgical Evaluation of Patients with Complex Source Localization by a Novel Component-Based EEG-fMRI Approach

Authors

Elias Ebrahimzadeh1, 2, 3, 4,*, Mohammad Shams5, Ali Rahimpour Jounghani6, Farahnaz Fayaz7, Mahya Mirbagheri1, Naser Hakimi8, Seyed Sohrab Hashemi Fesharaki9, Hamid Soltanian-Zadeh1, 10, 11
1School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
2Seaman Family MR Research Centre, University of Calgary, Calgary, Canada
3Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
4Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada
5Department of Biomedical Engineering, George Washington University, Washington D.C., United States
6Department of Psychological Sciences, University of California, Merced, United States
7Biomedical Engineering Department, School of Electrical Engineering, Payame Noor University of North Tehran, Tehran, Iran
8Division of Neonatology, Department of Pediatrics, UMCU-Wilhelmina Children's Hospital, Utrecht, Netherlands, and Artinis Medical Systems B.V., Elst, Netherlands
9Pars Advanced Medical Research Center, Pars Hospital, Tehran, Iran
10Image Analysis Laboratory, Department of Radiology, Henry Ford Hospital, Detroit, United States
11Department of Radiology, Wayne States University School of Medicine, Detroit, United States
*Corresponding Author: School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran Email: e_ebrahimzadeh@ut.ac.ir
Iranian Journal of Radiology:Vol. 16, issue Special Issue; e99134
Published online:Dec 08, 2019
Article type:Abstract
Received:Oct 26, 2019
Accepted:Dec 08, 2019
How to Cite:Ebrahimzadeh E, Shams M, Rahimpour Jounghani A, Fayaz F, Mirbagheri M, et al. Epilepsy Presurgical Evaluation of Patients with Complex Source Localization by a Novel Component-Based EEG-fMRI Approach. I J Radiol. 2019;16(Special Issue):e99134. doi: https://doi.org/10.5812/iranjradiol.99134

Abstract

Background:

The precise localization of epileptic foci is an unavoidable prerequisite for epilepsy surgery. Simultaneous EEG-fMRI recording has recently created new horizons to locate foci in patients with epilepsy and, in comparison with single-modality methods, has yielded promising results although it is still subject to a few limitations such as the lack of access to information between interictal events. This study assessed its potential added value in the presurgical evaluation of patients with complex source localization. Adult candidates considered ineligible for surgery on account of an unclear focus and/or presumed multifocality based on EEG underwent EEG-fMRI.

Objectives:

Adopting a component-based approach, this study attempted to identify the neural behavior of the epileptic generators and detect the components of interest to be later used as inputs in the GLM model, substituting the classical linear regressor.

Methods:

Nine IED sets from five patients were analyzed. These patients were rejected for surgery because of an unclear focus in two, presumed multifocality in one, and a combination of both in two of them.

Results:

Component-based EEG-fMRI improved localization in three out of four patients with unclear foci. In patients with presumed multifocality, component-based EEG-fMRI advocated one of the foci in five patients and confirmed multifocality in one out of five patients. In two patients, component-based EEG-fMRI opened new prospects for surgery. In these complex cases, component-based EEG-fMRI either improved source localization or corroborated a negative decision regarding surgical candidacy.

Conclusion:

As supported by the statistical findings, the developed EEG-fMRI method led to a more realistic estimation of localization than the conventional EEG-fMRI approach, making it a tool of high value in the presurgical evaluation of patients with refractory epilepsy.

Highlights

Copyright

Copyright © 2019, Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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