Global interactions analysis of epileptic ECoG data

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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.
Formato:	Documento de conferencia publishedVersion
Publicado:	2007
Materias:	Multivariate Time series analysis Ultrametricity
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p203_Ortega http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p203_Ortega_oai
Aporte de:	Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

id	I28-R145-paper_0094243X_v913_n_p203_Ortega_oai
record_format	dspace
spelling	I28-R145-paper_0094243X_v913_n_p203_Ortega_oai2020-10-19 Ortega, G.J. Sola, R.G. Pastor, J. 2007 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. application/pdf http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p203_Ortega info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar AIP Conf. Proc. 2007;913:203-208 Multivariate Time series analysis Ultrametricity Global interactions analysis of epileptic ECoG data info:eu-repo/semantics/conferenceObject info:ar-repo/semantics/documento de conferencia info:eu-repo/semantics/publishedVersion http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p203_Ortega_oai
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-145
collection	Repositorio Digital de la Universidad de Buenos Aires (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	Documento de conferencia Documento de conferencia publishedVersion
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
publishDate	2007
url	http://hdl.handle.net/20.500.12110/paper_0094243X_v913_n_p203_Ortega http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_0094243X_v913_n_p203_Ortega_oai
work_keys_str_mv	AT ortegagj globalinteractionsanalysisofepilepticecogdata AT solarg globalinteractionsanalysisofepilepticecogdata AT pastorj globalinteractionsanalysisofepilepticecogdata
_version_	1766026651271954432

Global interactions analysis of epileptic ECoG data

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