Order/disorder in brain electrical activity

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The processing of information by the brain is reflected in dynamical changes of the electrical activity in time, frequency, and space. Therefore, the concomitant studies require methods capable of describing the quantitative variation of the signal in both time and frequency. Here we present a quant...

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Autores principales: Rosso, O.A., Figliola, A.
Formato: JOUR
Materias:
EEG
Epileptic seizures
Signal entropy
Time-frequency signal analysis
Wavelet analysis
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0035001X_v50_n2_p149_Rosso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_0035001X_v50_n2_p149_Rosso
record_format dspace
spelling todo:paper_0035001X_v50_n2_p149_Rosso2023-10-03T14:46:32Z Order/disorder in brain electrical activity Rosso, O.A. Figliola, A. EEG Epileptic seizures Signal entropy Time-frequency signal analysis Wavelet analysis The processing of information by the brain is reflected in dynamical changes of the electrical activity in time, frequency, and space. Therefore, the concomitant studies require methods capable of describing the quantitative variation of the signal in both time and frequency. Here we present a quantitative EEC (qEEG) analysis, based on the Orthogonal Discrete Wavelet Transform (ODWT), of generalized epileptic tonic-clonic EEG signals. Two quantifiers: the Relative Wavelet Energy (RWE) and the Normalized Total Wavelet Entmpy (NTWS) have been used. The RWE gives information about the relative energy associated with the different frequency bands present in the EEO and their corresponding degree of importance. The NTWS is a measure of the order/disorder degree in the EEG signal. These two quantifiers were computing in EEG signals as provided by scalp electrodes of epileptic patients. We showed that the epileptic recruitment rhythm observed for generalized epileptic tonic-clonic seizures is accurately described by the RWE quantifier. In addition, a significant decrease in the NTWS was observed in the recruitment epoch, indicating a more rhythmic and ordered behavior in the brain electrical activity. Fil:Figliola, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0035001X_v50_n2_p149_Rosso
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic EEG
Epileptic seizures
Signal entropy
Time-frequency signal analysis
Wavelet analysis
spellingShingle EEG
Epileptic seizures
Signal entropy
Time-frequency signal analysis
Wavelet analysis
Rosso, O.A.
Figliola, A.
Order/disorder in brain electrical activity
topic_facet EEG
Epileptic seizures
Signal entropy
Time-frequency signal analysis
Wavelet analysis
description The processing of information by the brain is reflected in dynamical changes of the electrical activity in time, frequency, and space. Therefore, the concomitant studies require methods capable of describing the quantitative variation of the signal in both time and frequency. Here we present a quantitative EEC (qEEG) analysis, based on the Orthogonal Discrete Wavelet Transform (ODWT), of generalized epileptic tonic-clonic EEG signals. Two quantifiers: the Relative Wavelet Energy (RWE) and the Normalized Total Wavelet Entmpy (NTWS) have been used. The RWE gives information about the relative energy associated with the different frequency bands present in the EEO and their corresponding degree of importance. The NTWS is a measure of the order/disorder degree in the EEG signal. These two quantifiers were computing in EEG signals as provided by scalp electrodes of epileptic patients. We showed that the epileptic recruitment rhythm observed for generalized epileptic tonic-clonic seizures is accurately described by the RWE quantifier. In addition, a significant decrease in the NTWS was observed in the recruitment epoch, indicating a more rhythmic and ordered behavior in the brain electrical activity.
format JOUR
author Rosso, O.A.
Figliola, A.
author_facet Rosso, O.A.
Figliola, A.
author_sort Rosso, O.A.
title Order/disorder in brain electrical activity
title_short Order/disorder in brain electrical activity
title_full Order/disorder in brain electrical activity
title_fullStr Order/disorder in brain electrical activity
title_full_unstemmed Order/disorder in brain electrical activity
title_sort order/disorder in brain electrical activity
url http://hdl.handle.net/20.500.12110/paper_0035001X_v50_n2_p149_Rosso
work_keys_str_mv AT rossooa orderdisorderinbrainelectricalactivity
AT figliolaa orderdisorderinbrainelectricalactivity
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