Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG

Autores
Baravalle, Román; Rosso, Osvaldo Aníbal; Montani, Fernando Fabián
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The electroencephalogram (EEG) is an electrophysiological monitoring method that allows us to glimpse the electrical activity of the brain. Neural oscillations patterns are perhaps the best salient feature of EEG as they are rhythmic activities of the brain that can be generated by interactions across neurons. Large-scale oscillations can be measured by EEG as the different oscillation patterns reflected within the different frequency bands, and can provide us with new insights into brain functions. In order to understand how information about the rhythmic activity of the brain during visuomotor/imagined cognitive tasks is encoded in the brain we precisely quantify the different features of the oscillatory patterns considering the Shannon-Fisher plane H × F. This allows us to distinguish the dynamics of rhythmic activities of the brain showing that the Beta band facilitate information transmission during visuomotor/imagined tasks.
Facultad de Ciencias Exactas
Instituto de Física de Líquidos y Sistemas Biológicos
Materia
Ciencias Exactas
Física
Bandt and pompe methodology
Brain oscillation patterns
EEG signals
Fisher information and Shannon entropy
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/100468
Acceder
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network_name_str SEDICI (UNLP)
spelling Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEGBaravalle, RománRosso, Osvaldo AníbalMontani, Fernando FabiánCiencias ExactasFísicaBandt and pompe methodologyBrain oscillation patternsEEG signalsFisher information and Shannon entropyThe electroencephalogram (EEG) is an electrophysiological monitoring method that allows us to glimpse the electrical activity of the brain. Neural oscillations patterns are perhaps the best salient feature of EEG as they are rhythmic activities of the brain that can be generated by interactions across neurons. Large-scale oscillations can be measured by EEG as the different oscillation patterns reflected within the different frequency bands, and can provide us with new insights into brain functions. In order to understand how information about the rhythmic activity of the brain during visuomotor/imagined cognitive tasks is encoded in the brain we precisely quantify the different features of the oscillatory patterns considering the Shannon-Fisher plane H × F. This allows us to distinguish the dynamics of rhythmic activities of the brain showing that the Beta band facilitate information transmission during visuomotor/imagined tasks.Facultad de Ciencias ExactasInstituto de Física de Líquidos y Sistemas Biológicos2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf660-678http://sedici.unlp.edu.ar/handle/10915/100468enginfo:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/90681info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/20/9/660/htminfo:eu-repo/semantics/altIdentifier/issn/1099-4300info:eu-repo/semantics/altIdentifier/doi/10.3390/e20090660info:eu-repo/semantics/altIdentifier/hdl/11336/90681info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:01:25Zoai:sedici.unlp.edu.ar:10915/100468Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:01:25.671SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
title Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
spellingShingle Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
Baravalle, Román
Ciencias Exactas
Física
Bandt and pompe methodology
Brain oscillation patterns
EEG signals
Fisher information and Shannon entropy
title_short Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
title_full Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
title_fullStr Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
title_full_unstemmed Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
title_sort Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
dc.creator.none.fl_str_mv Baravalle, Román
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author Baravalle, Román
author_facet Baravalle, Román
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author_role author
author2 Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Exactas
Física
Bandt and pompe methodology
Brain oscillation patterns
EEG signals
Fisher information and Shannon entropy
topic Ciencias Exactas
Física
Bandt and pompe methodology
Brain oscillation patterns
EEG signals
Fisher information and Shannon entropy
dc.description.none.fl_txt_mv The electroencephalogram (EEG) is an electrophysiological monitoring method that allows us to glimpse the electrical activity of the brain. Neural oscillations patterns are perhaps the best salient feature of EEG as they are rhythmic activities of the brain that can be generated by interactions across neurons. Large-scale oscillations can be measured by EEG as the different oscillation patterns reflected within the different frequency bands, and can provide us with new insights into brain functions. In order to understand how information about the rhythmic activity of the brain during visuomotor/imagined cognitive tasks is encoded in the brain we precisely quantify the different features of the oscillatory patterns considering the Shannon-Fisher plane H × F. This allows us to distinguish the dynamics of rhythmic activities of the brain showing that the Beta band facilitate information transmission during visuomotor/imagined tasks.
Facultad de Ciencias Exactas
Instituto de Física de Líquidos y Sistemas Biológicos
description The electroencephalogram (EEG) is an electrophysiological monitoring method that allows us to glimpse the electrical activity of the brain. Neural oscillations patterns are perhaps the best salient feature of EEG as they are rhythmic activities of the brain that can be generated by interactions across neurons. Large-scale oscillations can be measured by EEG as the different oscillation patterns reflected within the different frequency bands, and can provide us with new insights into brain functions. In order to understand how information about the rhythmic activity of the brain during visuomotor/imagined cognitive tasks is encoded in the brain we precisely quantify the different features of the oscillatory patterns considering the Shannon-Fisher plane H × F. This allows us to distinguish the dynamics of rhythmic activities of the brain showing that the Beta band facilitate information transmission during visuomotor/imagined tasks.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
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/10915/100468
url http://sedici.unlp.edu.ar/handle/10915/100468
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/90681
info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/20/9/660/htm
info:eu-repo/semantics/altIdentifier/issn/1099-4300
info:eu-repo/semantics/altIdentifier/doi/10.3390/e20090660
info:eu-repo/semantics/altIdentifier/hdl/11336/90681
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
660-678
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
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