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

Autores
Zunino, Luciano José
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Materia
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
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/167283
Acceder
id SEDICI_8f01bac989b737b228a50d482175dc4d
oai_identifier_str oai:sedici.unlp.edu.ar:10915/167283
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon DistanceZunino, Luciano JoséFísicatime seriessymbolic analysisordinal patternspermutation entropyJensen–Shannon divergencepermutation Jensen–Shannon distanceEEG recordsresting brain statesmultiscale analysislinear and nonlinear temporal correlationsTaking 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 Ópticas2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/167283enginfo:eu-repo/semantics/altIdentifier/issn/1099-4300info:eu-repo/semantics/altIdentifier/doi/10.3390/e26050432info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:16:28Zoai:sedici.unlp.edu.ar:10915/167283Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:16:29.112SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
title Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
spellingShingle Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance
Zunino, Luciano José
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
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
dc.creator.none.fl_str_mv Zunino, Luciano José
author Zunino, Luciano José
author_facet Zunino, Luciano José
author_role author
dc.subject.none.fl_str_mv 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
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
dc.description.none.fl_txt_mv 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
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.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/167283
url http://sedici.unlp.edu.ar/handle/10915/167283
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1099-4300
info:eu-repo/semantics/altIdentifier/doi/10.3390/e26050432
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1842260668848275456
score 13.13397

Publicaciones similares