Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation

Conventional EEG-fMRI methods have been proven to be of limited use in the sense that they cannot reveal the information existing in between the spikes. To resolve this issue, the current study obtains the epileptic components time series detected on EEG and uses them to fit the Generalized Linear M...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Elias Ebrahimzadeh, Mohammad Shams, Masoud Seraji, Seyyed Mostafa Sadjadi, Lila Rajabion, Hamid Soltanian-Zadeh
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://doaj.org/article/3371f7c9f7f9419783ea3363b91e5963
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:3371f7c9f7f9419783ea3363b91e5963
record_format dspace
spelling oai:doaj.org-article:3371f7c9f7f9419783ea3363b91e59632021-11-15T13:35:28ZLocalizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation1664-229510.3389/fneur.2021.695997https://doaj.org/article/3371f7c9f7f9419783ea3363b91e59632021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fneur.2021.695997/fullhttps://doaj.org/toc/1664-2295Conventional EEG-fMRI methods have been proven to be of limited use in the sense that they cannot reveal the information existing in between the spikes. To resolve this issue, the current study obtains the epileptic components time series detected on EEG and uses them to fit the Generalized Linear Model (GLM), as a substitution for classical regressors. This approach allows for a more precise localization, and equally importantly, the prediction of the future behavior of the epileptic generators. The proposed method approaches the localization process in the component domain, rather than the electrode domain (EEG), and localizes the generators through investigating the spatial correlation between the candidate components and the spike template, as well as the medical records of the patient. To evaluate the contribution of EEG-fMRI and concordance between fMRI and EEG, this method was applied on the data of 30 patients with refractory epilepsy. The results demonstrated the significant numbers of 29 and 24 for concordance and contribution, respectively, which mark improvement as compared to the existing literature. This study also shows that while conventional methods often fail to properly localize the epileptogenic zones in deep brain structures, the proposed method can be of particular use. For further evaluation, the concordance level between IED-related BOLD clusters and Seizure Onset Zone (SOZ) has been quantitatively investigated by measuring the distance between IED/SOZ locations and the BOLD clusters in all patients. The results showed the superiority of the proposed method in delineating the spike-generating network compared to conventional EEG-fMRI approaches. In all, the proposed method goes beyond the conventional methods by breaking the dependency on spikes and using the outside-the-scanner spike templates and the selected components, achieving an accuracy of 97%. Doing so, this method contributes to improving the yield of EEG-fMRI and creates a more realistic perception of the neural behavior of epileptic generators which is almost without precedent in the literature.Elias EbrahimzadehElias EbrahimzadehMohammad ShamsMasoud SerajiMasoud SerajiSeyyed Mostafa SadjadiLila RajabionHamid Soltanian-ZadehHamid Soltanian-ZadehHamid Soltanian-ZadehFrontiers Media S.A.articlesimultaneous EEG-fMRIepileptogenic zoneindependent component analysis (ICA)generalized linear model (GLM)blood-oxygen-level dependent imaging (BOLD)epilepsyNeurology. Diseases of the nervous systemRC346-429ENFrontiers in Neurology, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic simultaneous EEG-fMRI
epileptogenic zone
independent component analysis (ICA)
generalized linear model (GLM)
blood-oxygen-level dependent imaging (BOLD)
epilepsy
Neurology. Diseases of the nervous system
RC346-429
spellingShingle simultaneous EEG-fMRI
epileptogenic zone
independent component analysis (ICA)
generalized linear model (GLM)
blood-oxygen-level dependent imaging (BOLD)
epilepsy
Neurology. Diseases of the nervous system
RC346-429
Elias Ebrahimzadeh
Elias Ebrahimzadeh
Mohammad Shams
Masoud Seraji
Masoud Seraji
Seyyed Mostafa Sadjadi
Lila Rajabion
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh
Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation
description Conventional EEG-fMRI methods have been proven to be of limited use in the sense that they cannot reveal the information existing in between the spikes. To resolve this issue, the current study obtains the epileptic components time series detected on EEG and uses them to fit the Generalized Linear Model (GLM), as a substitution for classical regressors. This approach allows for a more precise localization, and equally importantly, the prediction of the future behavior of the epileptic generators. The proposed method approaches the localization process in the component domain, rather than the electrode domain (EEG), and localizes the generators through investigating the spatial correlation between the candidate components and the spike template, as well as the medical records of the patient. To evaluate the contribution of EEG-fMRI and concordance between fMRI and EEG, this method was applied on the data of 30 patients with refractory epilepsy. The results demonstrated the significant numbers of 29 and 24 for concordance and contribution, respectively, which mark improvement as compared to the existing literature. This study also shows that while conventional methods often fail to properly localize the epileptogenic zones in deep brain structures, the proposed method can be of particular use. For further evaluation, the concordance level between IED-related BOLD clusters and Seizure Onset Zone (SOZ) has been quantitatively investigated by measuring the distance between IED/SOZ locations and the BOLD clusters in all patients. The results showed the superiority of the proposed method in delineating the spike-generating network compared to conventional EEG-fMRI approaches. In all, the proposed method goes beyond the conventional methods by breaking the dependency on spikes and using the outside-the-scanner spike templates and the selected components, achieving an accuracy of 97%. Doing so, this method contributes to improving the yield of EEG-fMRI and creates a more realistic perception of the neural behavior of epileptic generators which is almost without precedent in the literature.
format article
author Elias Ebrahimzadeh
Elias Ebrahimzadeh
Mohammad Shams
Masoud Seraji
Masoud Seraji
Seyyed Mostafa Sadjadi
Lila Rajabion
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh
author_facet Elias Ebrahimzadeh
Elias Ebrahimzadeh
Mohammad Shams
Masoud Seraji
Masoud Seraji
Seyyed Mostafa Sadjadi
Lila Rajabion
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh
author_sort Elias Ebrahimzadeh
title Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation
title_short Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation
title_full Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation
title_fullStr Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation
title_full_unstemmed Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation
title_sort localizing epileptic foci using simultaneous eeg-fmri recording: template component cross-correlation
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/3371f7c9f7f9419783ea3363b91e5963
work_keys_str_mv AT eliasebrahimzadeh localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT eliasebrahimzadeh localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT mohammadshams localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT masoudseraji localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT masoudseraji localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT seyyedmostafasadjadi localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT lilarajabion localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT hamidsoltanianzadeh localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT hamidsoltanianzadeh localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
AT hamidsoltanianzadeh localizingepilepticfociusingsimultaneouseegfmrirecordingtemplatecomponentcrosscorrelation
_version_ 1718428425428926464