Literature DB >> 33854640

Localizing confined epileptic foci in patients with an unclear focus or presumed multifocality using a component-based EEG-fMRI method.

Elias Ebrahimzadeh1, Mohammad Shams2, Ali Rahimpour Jounghani3, Farahnaz Fayaz4, Mahya Mirbagheri1, Naser Hakimi5, Lila Rajabion6, Hamid Soltanian-Zadeh1,7.   

Abstract

Precise localization of epileptic foci is an unavoidable prerequisite in 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 more promising results although it is still subject to limitations such as lack of access to information between interictal events. This study assesses 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 on the basis of EEG underwent EEG-fMRI. Adopting a component-based approach, this study attempts to identify the neural behavior of the epileptic generators and detect the components-of-interest which will later be used as input in the GLM model, substituting the classical linear regressor. Twenty-eight sets interictal epileptiform discharges (IED) from nine patients were analyzed. In eight patients, at least one BOLD response was significant, positive and topographically related to the IEDs. These patients were rejected for surgery because of an unclear focus in four, presumed multifocality in three, and a combination of the two conditions in two. Component-based EEG-fMRI improved localization in five out of six 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 of the patients. In seven patients, component-based EEG-fMRI opened new prospects for surgery and in two of these patients, intracranial EEG supported the EEG-fMRI results. In these complex cases, component-based EEG-fMRI either improved source localization or corroborated a negative decision regarding surgical candidacy. As supported by the statistical findings, the developed EEG-fMRI method leads to a more realistic estimation of localization compared to the conventional EEG-fMRI approach, making it a tool of high value in pre-surgical evaluation of patients with refractory epilepsy. To ensure proper implementation, we have included guidelines for the application of component-based EEG-fMRI in clinical practice. © Springer Nature B.V. 2020.

Entities:  

Keywords:  Blood-oxygen-level dependent imaging (BOLD); Epilepsy; Generalized linear model (GLM); Independent component analysis (ICA); Simultaneous EEG-fMRI

Year:  2020        PMID: 33854640      PMCID: PMC7969677          DOI: 10.1007/s11571-020-09614-5

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  37 in total

1.  EEG based brain source localization comparison of sLORETA and eLORETA.

Authors:  Munsif Ali Jatoi; Nidal Kamel; Aamir Saeed Malik; Ibrahima Faye
Journal:  Australas Phys Eng Sci Med       Date:  2014-10-31       Impact factor: 1.430

2.  Morbidity associated with the use of intracranial electrodes for epilepsy surgery.

Authors:  Jorge G Burneo; David A Steven; Richard S McLachlan; Andrew G Parrent
Journal:  Can J Neurol Sci       Date:  2006-05       Impact factor: 2.104

3.  The BOLD response to interictal epileptiform discharges.

Authors:  Christian G Bénar; Donald W Gross; Yunhua Wang; Valentina Petre; Bruce Pike; François Dubeau; Jean Gotman
Journal:  Neuroimage       Date:  2002-11       Impact factor: 6.556

4.  Prediction of epilepsy seizure from multi-channel electroencephalogram by effective connectivity analysis using Granger causality and directed transfer function methods.

Authors:  Mona Hejazi; Ali Motie Nasrabadi
Journal:  Cogn Neurodyn       Date:  2019-05-08       Impact factor: 5.082

5.  Brain activity during time to contact estimation: an EEG study.

Authors:  Asieh Daneshi; Hamed Azarnoush; Farzad Towhidkhah; Delphine Bernardin; Jocelyn Faubert
Journal:  Cogn Neurodyn       Date:  2019-11-27       Impact factor: 5.082

6.  How long does it take for partial epilepsy to become intractable?

Authors:  A T Berg; J Langfitt; S Shinnar; B G Vickrey; M R Sperling; T Walczak; C Bazil; S V Pacia; S S Spencer
Journal:  Neurology       Date:  2003-01-28       Impact factor: 9.910

7.  EEG-fMRI in the preoperative work-up for epilepsy surgery.

Authors:  Maeike Zijlmans; Geertjan Huiskamp; Maaike Hersevoort; Jan-Henry Seppenwoolde; Alexander C van Huffelen; Frans S S Leijten
Journal:  Brain       Date:  2007-06-24       Impact factor: 13.501

8.  Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal.

Authors:  Elias Ebrahimzadeh; Maede Kalantari; Mohammadamin Joulani; Reza Shahrokhi Shahraki; Farahnaz Fayaz; Fereshteh Ahmadi
Journal:  Comput Methods Programs Biomed       Date:  2018-08-10       Impact factor: 5.428

9.  The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method.

Authors:  Milena Čukić; Miodrag Stokić; Slobodan Simić; Dragoljub Pokrajac
Journal:  Cogn Neurodyn       Date:  2020-03-25       Impact factor: 5.082

Review 10.  EEG/functional MRI in epilepsy: The Queen Square Experience.

Authors:  Khalid Hamandi; Afraim Salek-Haddadi; David R Fish; Louis Lemieux
Journal:  J Clin Neurophysiol       Date:  2004 Jul-Aug       Impact factor: 2.177

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  4 in total

Review 1.  Localization of Epileptic Foci Based on Simultaneous EEG-fMRI Data.

Authors:  Seyyed Mostafa Sadjadi; Elias Ebrahimzadeh; Mohammad Shams; Masoud Seraji; Hamid Soltanian-Zadeh
Journal:  Front Neurol       Date:  2021-04-27       Impact factor: 4.003

2.  Optimizing EEG Source Reconstruction with Concurrent fMRI-Derived Spatial Priors.

Authors:  Rodolfo Abreu; Júlia F Soares; Ana Cláudia Lima; Lívia Sousa; Sónia Batista; Miguel Castelo-Branco; João Valente Duarte
Journal:  Brain Topogr       Date:  2022-02-10       Impact factor: 4.275

Review 3.  Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function.

Authors:  Elias Ebrahimzadeh; Saber Saharkhiz; Lila Rajabion; Homayoun Baghaei Oskouei; Masoud Seraji; Farahnaz Fayaz; Sarah Saliminia; Seyyed Mostafa Sadjadi; Hamid Soltanian-Zadeh
Journal:  Front Syst Neurosci       Date:  2022-07-28

4.  A Spherical Phase Space Partitioning Based Symbolic Time Series Analysis (SPSP-STSA) for Emotion Recognition Using EEG Signals.

Authors:  Hoda Tavakkoli; Ali Motie Nasrabadi
Journal:  Front Hum Neurosci       Date:  2022-06-29       Impact factor: 3.473

  4 in total

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