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.
Fil: Zunino, Luciano José. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina
Materia
TIME SERIES
SYMBOLIC ANALYSIS
ORDINAL PATTERNS
PERMUTATION ENTROPY
JENSEN–SHANNON DIVERGENCE
PERMUTATION JENSEN–SHANNON DISTANCE
EEG RECORDS
RESTING BRAIN STATES
MULTISCALE ANALYSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/257375
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/257375
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon DistanceZunino, Luciano JoséTIME SERIESSYMBOLIC ANALYSISORDINAL PATTERNSPERMUTATION ENTROPYJENSEN–SHANNON DIVERGENCEPERMUTATION JENSEN–SHANNON DISTANCEEEG RECORDSRESTING BRAIN STATESMULTISCALE ANALYSIShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Taking 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.Fil: Zunino, Luciano José. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; ArgentinaMolecular Diversity Preservation International2024-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/257375Zunino, Luciano José; Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance; Molecular Diversity Preservation International; Entropy; 26; 5; 5-2024; 432-4321099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/26/5/432info:eu-repo/semantics/altIdentifier/doi/10.3390/e26050432info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T10:36:17Zoai:ri.conicet.gov.ar:11336/257375instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 10:36:17.609CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
TIME SERIES
SYMBOLIC ANALYSIS
ORDINAL PATTERNS
PERMUTATION ENTROPY
JENSEN–SHANNON DIVERGENCE
PERMUTATION JENSEN–SHANNON DISTANCE
EEG RECORDS
RESTING BRAIN STATES
MULTISCALE ANALYSIS
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 TIME SERIES
SYMBOLIC ANALYSIS
ORDINAL PATTERNS
PERMUTATION ENTROPY
JENSEN–SHANNON DIVERGENCE
PERMUTATION JENSEN–SHANNON DISTANCE
EEG RECORDS
RESTING BRAIN STATES
MULTISCALE ANALYSIS
topic TIME SERIES
SYMBOLIC ANALYSIS
ORDINAL PATTERNS
PERMUTATION ENTROPY
JENSEN–SHANNON DIVERGENCE
PERMUTATION JENSEN–SHANNON DISTANCE
EEG RECORDS
RESTING BRAIN STATES
MULTISCALE ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
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.
Fil: Zunino, Luciano José. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina
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 2024-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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://hdl.handle.net/11336/257375
Zunino, Luciano José; Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance; Molecular Diversity Preservation International; Entropy; 26; 5; 5-2024; 432-432
1099-4300
CONICET Digital
CONICET
url http://hdl.handle.net/11336/257375
identifier_str_mv Zunino, Luciano José; Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen–Shannon Distance; Molecular Diversity Preservation International; Entropy; 26; 5; 5-2024; 432-432
1099-4300
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/26/5/432
info:eu-repo/semantics/altIdentifier/doi/10.3390/e26050432
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1847978052197285888
score 13.121305

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