Global interactions analysis of epileptic ECoG data

Localization of the epileptogenic zone is an important issue in epileptology, even though there is not a unique definition of the epileptic focus. The objective of the present study is to test ultrametric analysis to uncover cortical interactions in human epileptic data. Correlation analysis has bee...

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Autores principales: Ortega, G.J., Sola, R.G., Pastor, J.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p203_Ortega
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spelling todo:paper_0094243X_v913_n_p203_Ortega2023-10-03T14:56:19Z Global interactions analysis of epileptic ECoG data Ortega, G.J. Sola, R.G. Pastor, J. Multivariate Time series analysis Ultrametricity Localization of the epileptogenic zone is an important issue in epileptology, even though there is not a unique definition of the epileptic focus. The objective of the present study is to test ultrametric analysis to uncover cortical interactions in human epileptic data. Correlation analysis has been carried out over intraoperative Electro-Corticography (ECoG) data in 2 patients suffering from temporal lobe epilepsy (TLE). Recordings were obtained using a grid of 20 electrodes (5×4) covering the lateral temporal lobe and a strip of either 4 or 8 electrodes at the mesial temporal lobe. Ultrametric analysis was performed in the averaged final correlation matrices. By using the matrix of linear correlation coefficients and the appropriate metric distance between pairs of electrodes time series, we were able to construct Minimum Spanning Trees (MST). The topological connectivity displayed by these trees gives useful and valuable information regarding physiological and pathological information in the temporal lobe of epileptic patients. © 2007 American Institute of Physics. Fil:Ortega, G.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p203_Ortega
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Multivariate
Time series analysis
Ultrametricity
spellingShingle Multivariate
Time series analysis
Ultrametricity
Ortega, G.J.
Sola, R.G.
Pastor, J.
Global interactions analysis of epileptic ECoG data
topic_facet Multivariate
Time series analysis
Ultrametricity
description Localization of the epileptogenic zone is an important issue in epileptology, even though there is not a unique definition of the epileptic focus. The objective of the present study is to test ultrametric analysis to uncover cortical interactions in human epileptic data. Correlation analysis has been carried out over intraoperative Electro-Corticography (ECoG) data in 2 patients suffering from temporal lobe epilepsy (TLE). Recordings were obtained using a grid of 20 electrodes (5×4) covering the lateral temporal lobe and a strip of either 4 or 8 electrodes at the mesial temporal lobe. Ultrametric analysis was performed in the averaged final correlation matrices. By using the matrix of linear correlation coefficients and the appropriate metric distance between pairs of electrodes time series, we were able to construct Minimum Spanning Trees (MST). The topological connectivity displayed by these trees gives useful and valuable information regarding physiological and pathological information in the temporal lobe of epileptic patients. © 2007 American Institute of Physics.
format CONF
author Ortega, G.J.
Sola, R.G.
Pastor, J.
author_facet Ortega, G.J.
Sola, R.G.
Pastor, J.
author_sort Ortega, G.J.
title Global interactions analysis of epileptic ECoG data
title_short Global interactions analysis of epileptic ECoG data
title_full Global interactions analysis of epileptic ECoG data
title_fullStr Global interactions analysis of epileptic ECoG data
title_full_unstemmed Global interactions analysis of epileptic ECoG data
title_sort global interactions analysis of epileptic ecog data
url http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p203_Ortega
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