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Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures
Objective: Interictal synchronization clusters have recently been described in several publications using diverse techniques, including neurophysiological recordings and fMRI, in patients suffering from epilepsy. However, little is known about the role of these hyper-synchronous areas during seizure...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173324/ https://www.ncbi.nlm.nih.gov/pubmed/25309507 http://dx.doi.org/10.3389/fneur.2014.00187 |
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author | Vega-Zelaya, Lorena Pastor, Jesús Eduardo de Sola, Rafael G. Ortega, Guillermo J. |
author_facet | Vega-Zelaya, Lorena Pastor, Jesús Eduardo de Sola, Rafael G. Ortega, Guillermo J. |
author_sort | Vega-Zelaya, Lorena |
collection | PubMed |
description | Objective: Interictal synchronization clusters have recently been described in several publications using diverse techniques, including neurophysiological recordings and fMRI, in patients suffering from epilepsy. However, little is known about the role of these hyper-synchronous areas during seizures. In this work, we report an analysis of synchronization clusters jointly with several network measures during seizure activity; we then discuss our findings in the context of prior literature. Methods: Subdural activity was recorded by electrocorticography (with 60 electrodes placed at temporal and parietal lobe locations) in a patient with temporal lobe epilepsy with partial seizures with and without secondary generalization (SG). Both interictal and ictal activities (during four seizures) were investigated and characterized using local synchronization and complex network methodology. The modularity, density of links, average clustering coefficient, and average path lengths were calculated to obtain information about the dynamics of the global network. Functional connectivity changes during the seizures were compared with the time evolution of highly synchronized areas. Results: Our findings reveal temporal changes in local synchronization areas during seizures and a tight relationship between the cortical locations of these areas and the patterns of their evolution over time. Seizure evolution and SG appear to be driven by two different underlying mechanisms. |
format | Online Article Text |
id | pubmed-4173324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-41733242014-10-10 Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures Vega-Zelaya, Lorena Pastor, Jesús Eduardo de Sola, Rafael G. Ortega, Guillermo J. Front Neurol Neuroscience Objective: Interictal synchronization clusters have recently been described in several publications using diverse techniques, including neurophysiological recordings and fMRI, in patients suffering from epilepsy. However, little is known about the role of these hyper-synchronous areas during seizures. In this work, we report an analysis of synchronization clusters jointly with several network measures during seizure activity; we then discuss our findings in the context of prior literature. Methods: Subdural activity was recorded by electrocorticography (with 60 electrodes placed at temporal and parietal lobe locations) in a patient with temporal lobe epilepsy with partial seizures with and without secondary generalization (SG). Both interictal and ictal activities (during four seizures) were investigated and characterized using local synchronization and complex network methodology. The modularity, density of links, average clustering coefficient, and average path lengths were calculated to obtain information about the dynamics of the global network. Functional connectivity changes during the seizures were compared with the time evolution of highly synchronized areas. Results: Our findings reveal temporal changes in local synchronization areas during seizures and a tight relationship between the cortical locations of these areas and the patterns of their evolution over time. Seizure evolution and SG appear to be driven by two different underlying mechanisms. Frontiers Media S.A. 2014-09-24 /pmc/articles/PMC4173324/ /pubmed/25309507 http://dx.doi.org/10.3389/fneur.2014.00187 Text en Copyright © 2014 Vega-Zelaya, Pastor, de Sola and Ortega. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Vega-Zelaya, Lorena Pastor, Jesús Eduardo de Sola, Rafael G. Ortega, Guillermo J. Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures |
title | Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures |
title_full | Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures |
title_fullStr | Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures |
title_full_unstemmed | Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures |
title_short | Inhomogeneous Cortical Synchronization and Partial Epileptic Seizures |
title_sort | inhomogeneous cortical synchronization and partial epileptic seizures |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173324/ https://www.ncbi.nlm.nih.gov/pubmed/25309507 http://dx.doi.org/10.3389/fneur.2014.00187 |
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