Inhomogeneous cortical synchronization and partial epileptic seizures

Autores
Vega Zelaya, Lorena; Pastor, Jesús Eduardo; García de Sola, Rafael; Ortega, Guillermo José
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 hypersynchronous 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 electrodesplaced at temporal and parietal lobe locations) in a patient with temporal lobe epilepsywith partial seizures with and without secondary generalization (SG). Both interictal andictal 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 lengthswere 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 seizuresand a tight relationship between the cortical locations of these areas and the patterns oftheir evolution over time. Seizure evolution and SG appear to be driven by two differentunderlying mechanisms.
Fil: Vega Zelaya, Lorena. Hospital Universitario la Princesa; España
Fil: Pastor, Jesús Eduardo. Hospital Universitario la Princesa; España
Fil: García de Sola, Rafael. Hospital Universitario la Princesa; España
Fil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentina
Materia
EEG
CLUSTERS
TEMPORAL LOBE EPILEPSY
COMPLEX NETWORKS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/105095
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/105095
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Inhomogeneous cortical synchronization and partial epileptic seizuresVega Zelaya, LorenaPastor, Jesús EduardoGarcía de Sola, RafaelOrtega, Guillermo JoséEEGCLUSTERSTEMPORAL LOBE EPILEPSYCOMPLEX NETWORKShttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Objective: 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 hypersynchronous 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 electrodesplaced at temporal and parietal lobe locations) in a patient with temporal lobe epilepsywith partial seizures with and without secondary generalization (SG). Both interictal andictal 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 lengthswere 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 seizuresand a tight relationship between the cortical locations of these areas and the patterns oftheir evolution over time. Seizure evolution and SG appear to be driven by two differentunderlying mechanisms.Fil: Vega Zelaya, Lorena. Hospital Universitario la Princesa; EspañaFil: Pastor, Jesús Eduardo. Hospital Universitario la Princesa; EspañaFil: García de Sola, Rafael. Hospital Universitario la Princesa; EspañaFil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; ArgentinaFrontiers Media S.A.2014-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/105095Vega Zelaya, Lorena; Pastor, Jesús Eduardo ; García de Sola, Rafael; Ortega, Guillermo José; Inhomogeneous cortical synchronization and partial epileptic seizures; Frontiers Media S.A.; Frontiers in Neurology; 5; 187; 9-2014; 1-111664-2295CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/fneur.2014.00187info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fneur.2014.00187/fullinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:45Zoai:ri.conicet.gov.ar:11336/105095instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:46.173CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Inhomogeneous cortical synchronization and partial epileptic seizures
title Inhomogeneous cortical synchronization and partial epileptic seizures
spellingShingle Inhomogeneous cortical synchronization and partial epileptic seizures
Vega Zelaya, Lorena
EEG
CLUSTERS
TEMPORAL LOBE EPILEPSY
COMPLEX NETWORKS
title_short 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_sort Inhomogeneous cortical synchronization and partial epileptic seizures
dc.creator.none.fl_str_mv Vega Zelaya, Lorena
Pastor, Jesús Eduardo
García de Sola, Rafael
Ortega, Guillermo José
author Vega Zelaya, Lorena
author_facet Vega Zelaya, Lorena
Pastor, Jesús Eduardo
García de Sola, Rafael
Ortega, Guillermo José
author_role author
author2 Pastor, Jesús Eduardo
García de Sola, Rafael
Ortega, Guillermo José
author2_role author
author
author
dc.subject.none.fl_str_mv EEG
CLUSTERS
TEMPORAL LOBE EPILEPSY
COMPLEX NETWORKS
topic EEG
CLUSTERS
TEMPORAL LOBE EPILEPSY
COMPLEX NETWORKS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv 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 hypersynchronous 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 electrodesplaced at temporal and parietal lobe locations) in a patient with temporal lobe epilepsywith partial seizures with and without secondary generalization (SG). Both interictal andictal 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 lengthswere 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 seizuresand a tight relationship between the cortical locations of these areas and the patterns oftheir evolution over time. Seizure evolution and SG appear to be driven by two differentunderlying mechanisms.
Fil: Vega Zelaya, Lorena. Hospital Universitario la Princesa; España
Fil: Pastor, Jesús Eduardo. Hospital Universitario la Princesa; España
Fil: García de Sola, Rafael. Hospital Universitario la Princesa; España
Fil: Ortega, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentina
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 hypersynchronous 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 electrodesplaced at temporal and parietal lobe locations) in a patient with temporal lobe epilepsywith partial seizures with and without secondary generalization (SG). Both interictal andictal 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 lengthswere 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 seizuresand a tight relationship between the cortical locations of these areas and the patterns oftheir evolution over time. Seizure evolution and SG appear to be driven by two differentunderlying mechanisms.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/105095
Vega Zelaya, Lorena; Pastor, Jesús Eduardo ; García de Sola, Rafael; Ortega, Guillermo José; Inhomogeneous cortical synchronization and partial epileptic seizures; Frontiers Media S.A.; Frontiers in Neurology; 5; 187; 9-2014; 1-11
1664-2295
CONICET Digital
CONICET
url http://hdl.handle.net/11336/105095
identifier_str_mv Vega Zelaya, Lorena; Pastor, Jesús Eduardo ; García de Sola, Rafael; Ortega, Guillermo José; Inhomogeneous cortical synchronization and partial epileptic seizures; Frontiers Media S.A.; Frontiers in Neurology; 5; 187; 9-2014; 1-11
1664-2295
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/fneur.2014.00187
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fneur.2014.00187/full
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Media S.A.
publisher.none.fl_str_mv Frontiers Media S.A.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.885934

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