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Dynamic Causal Modelling of epileptic seizure propagation pathways: A combined EEG–fMRI study
Simultaneous EEG–fMRI offers the possibility of non-invasively studying the spatiotemporal dynamics of epileptic activity propagation from the focus towards an extended brain network, through the identification of the haemodynamic correlates of ictal electrical discharges. In epilepsy associated wit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778869/ https://www.ncbi.nlm.nih.gov/pubmed/22634857 http://dx.doi.org/10.1016/j.neuroimage.2012.05.053 |
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author | Murta, Teresa Leal, Alberto Garrido, Marta I. Figueiredo, Patrícia |
author_facet | Murta, Teresa Leal, Alberto Garrido, Marta I. Figueiredo, Patrícia |
author_sort | Murta, Teresa |
collection | PubMed |
description | Simultaneous EEG–fMRI offers the possibility of non-invasively studying the spatiotemporal dynamics of epileptic activity propagation from the focus towards an extended brain network, through the identification of the haemodynamic correlates of ictal electrical discharges. In epilepsy associated with hypothalamic hamartomas (HH), seizures are known to originate in the HH but different propagation pathways have been proposed. Here, Dynamic Causal Modelling (DCM) was employed to estimate the seizure propagation pathway from fMRI data recorded in a HH patient, by testing a set of clinically plausible network connectivity models of discharge propagation. The model consistent with early propagation from the HH to the temporal–occipital lobe followed by the frontal lobe was selected as the most likely model to explain the data. Our results demonstrate the applicability of DCM to investigate patient-specific effective connectivity in epileptic networks identified with EEG–fMRI. In this way, it is possible to study the propagation pathway of seizure activity, which has potentially great impact in the decision of the surgical approach for epilepsy treatment. |
format | Online Article Text |
id | pubmed-3778869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37788692013-09-23 Dynamic Causal Modelling of epileptic seizure propagation pathways: A combined EEG–fMRI study Murta, Teresa Leal, Alberto Garrido, Marta I. Figueiredo, Patrícia Neuroimage Article Simultaneous EEG–fMRI offers the possibility of non-invasively studying the spatiotemporal dynamics of epileptic activity propagation from the focus towards an extended brain network, through the identification of the haemodynamic correlates of ictal electrical discharges. In epilepsy associated with hypothalamic hamartomas (HH), seizures are known to originate in the HH but different propagation pathways have been proposed. Here, Dynamic Causal Modelling (DCM) was employed to estimate the seizure propagation pathway from fMRI data recorded in a HH patient, by testing a set of clinically plausible network connectivity models of discharge propagation. The model consistent with early propagation from the HH to the temporal–occipital lobe followed by the frontal lobe was selected as the most likely model to explain the data. Our results demonstrate the applicability of DCM to investigate patient-specific effective connectivity in epileptic networks identified with EEG–fMRI. In this way, it is possible to study the propagation pathway of seizure activity, which has potentially great impact in the decision of the surgical approach for epilepsy treatment. Academic Press 2012-09 /pmc/articles/PMC3778869/ /pubmed/22634857 http://dx.doi.org/10.1016/j.neuroimage.2012.05.053 Text en © 2012 Elsevier Inc. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license |
spellingShingle | Article Murta, Teresa Leal, Alberto Garrido, Marta I. Figueiredo, Patrícia Dynamic Causal Modelling of epileptic seizure propagation pathways: A combined EEG–fMRI study |
title | Dynamic Causal Modelling of epileptic seizure propagation pathways: A combined EEG–fMRI study |
title_full | Dynamic Causal Modelling of epileptic seizure propagation pathways: A combined EEG–fMRI study |
title_fullStr | Dynamic Causal Modelling of epileptic seizure propagation pathways: A combined EEG–fMRI study |
title_full_unstemmed | Dynamic Causal Modelling of epileptic seizure propagation pathways: A combined EEG–fMRI study |
title_short | Dynamic Causal Modelling of epileptic seizure propagation pathways: A combined EEG–fMRI study |
title_sort | dynamic causal modelling of epileptic seizure propagation pathways: a combined eeg–fmri study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778869/ https://www.ncbi.nlm.nih.gov/pubmed/22634857 http://dx.doi.org/10.1016/j.neuroimage.2012.05.053 |
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