Artículo
Network analysis of foramen ovale electrode recordings in drug-resistant temporal lobe epilepsy patients
Sanz-García, Ancor; Vega Zelaya, Lorena; Pastor, Jesús; Torres, Cristina V.; Sola, Rafael G.; Ortega, Guillermo José
![Icon](/themes/CONICETDigital/images/conicet.png)
Fecha de publicación:
12/2016
Editorial:
Journal of Visualized Experiments
Revista:
Journal of Visualized Experiments
ISSN:
1940-087X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Approximately 30% of epilepsy patients are refractory to antiepileptic drugs. In these cases, surgery is the only alternative to eliminate/control seizures. However, a significant minority of patients continues to exhibit post-operative seizures, even in those cases in which the suspected source of seizures has been correctly localized and resected. The protocol presented here combines a clinical procedure routinely employed during the pre-operative evaluation of temporal lobe epilepsy (TLE) patients with a novel technique for network analysis. The method allows for the evaluation of the temporal evolution of mesial network parameters. The bilateral insertion of foramen ovale electrodes (FOE) into the ambient cistern simultaneously records electrocortical activity at several mesial areas in the temporal lobe. Furthermore, network methodology applied to the recorded time series tracks the temporal evolution of the mesial networks both interictally and during the seizures. In this way, the presented protocol offers a unique way to visualize and quantify measures that considers the relationships between several mesial areas instead of a single area.
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Sanz-García, Ancor; Vega Zelaya, Lorena; Pastor, Jesús; Torres, Cristina V.; Sola, Rafael G.; et al.; Network analysis of foramen ovale electrode recordings in drug-resistant temporal lobe epilepsy patients; Journal of Visualized Experiments; Journal of Visualized Experiments; 2016; 118; 12-2016; 1-10
Compartir
Altmétricas