Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance

Taking into account the complexity of the human brain dynamics, the appropriate characterization of any brain state is a challenge not easily met. Actually, even the discrimination of simple behavioral tasks, such as resting with eyes closed or eyes open, represents an intricate problem and many eff...

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Detalles Bibliográficos
Autor principal: Zunino, Luciano José
Formato: Articulo
Lenguaje:Inglés
Publicado: 2024
Materias:
Física
time series
symbolic analysis
ordinal patterns
permutation entropy
Jensen–Shannon divergence
permutation Jensen–Shannon distance
EEG records
resting brain states
multiscale analysis
linear and nonlinear temporal correlations
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/167283
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-167283
record_format dspace
spelling I19-R120-10915-1672832024-06-14T20:09:01Z http://sedici.unlp.edu.ar/handle/10915/167283 Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance Zunino, Luciano José 2024 2024-06-14T16:40:33Z en Física time series symbolic analysis ordinal patterns permutation entropy Jensen–Shannon divergence permutation Jensen–Shannon distance EEG records resting brain states multiscale analysis linear and nonlinear temporal correlations Taking into account the complexity of the human brain dynamics, the appropriate characterization of any brain state is a challenge not easily met. Actually, even the discrimination of simple behavioral tasks, such as resting with eyes closed or eyes open, represents an intricate problem and many efforts have been and are being made to overcome it. In this work, the aforementioned issue is carefully addressed by performing multiscale analyses of electroencephalogram records with the permutation Jensen–Shannon distance. The influence that linear and nonlinear temporal correlations have on the discrimination is unveiled. Results obtained lead to significant conclusions that help to achieve an improved distinction between these resting brain states. Centro de Investigaciones Ópticas Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
time series
symbolic analysis
ordinal patterns
permutation entropy
Jensen–Shannon divergence
permutation Jensen–Shannon distance
EEG records
resting brain states
multiscale analysis
linear and nonlinear temporal correlations
spellingShingle Física
time series
symbolic analysis
ordinal patterns
permutation entropy
Jensen–Shannon divergence
permutation Jensen–Shannon distance
EEG records
resting brain states
multiscale analysis
linear and nonlinear temporal correlations
Zunino, Luciano José
Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
topic_facet Física
time series
symbolic analysis
ordinal patterns
permutation entropy
Jensen–Shannon divergence
permutation Jensen–Shannon distance
EEG records
resting brain states
multiscale analysis
linear and nonlinear temporal correlations
description Taking into account the complexity of the human brain dynamics, the appropriate characterization of any brain state is a challenge not easily met. Actually, even the discrimination of simple behavioral tasks, such as resting with eyes closed or eyes open, represents an intricate problem and many efforts have been and are being made to overcome it. In this work, the aforementioned issue is carefully addressed by performing multiscale analyses of electroencephalogram records with the permutation Jensen–Shannon distance. The influence that linear and nonlinear temporal correlations have on the discrimination is unveiled. Results obtained lead to significant conclusions that help to achieve an improved distinction between these resting brain states.
format Articulo
Articulo
author Zunino, Luciano José
author_facet Zunino, Luciano José
author_sort Zunino, Luciano José
title Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
title_short Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
title_full Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
title_fullStr Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
title_full_unstemmed Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
title_sort revisiting the characterization of resting brain dynamics with the permutation jensen–shannon distance
publishDate 2024
url http://sedici.unlp.edu.ar/handle/10915/167283
work_keys_str_mv AT zuninolucianojose revisitingthecharacterizationofrestingbraindynamicswiththepermutationjensenshannondistance
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