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.
Fil: Baravalle, Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Fil: Rosso, Osvaldo Aníbal. Universidad Nacional de La Plata; Argentina
Fil: Montani, Fernando Fabián. Hospital Italiano; Argentina
Materia
BANDT AND POMPE METHODOLOGY
BRAIN OSCILLATION PATTERNS
EEG SIGNALS
FISHER INFORMATION AND SHANNON ENTROPY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/90681
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Causal Shannon-Fisher characterization of motor/imagery movements in EEGBaravalle, RománRosso, Osvaldo AníbalMontani, Fernando FabiánBANDT AND POMPE METHODOLOGYBRAIN OSCILLATION PATTERNSEEG SIGNALSFISHER INFORMATION AND SHANNON ENTROPYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The 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.Fil: Baravalle, Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; ArgentinaFil: Rosso, Osvaldo Aníbal. Universidad Nacional de La Plata; ArgentinaFil: Montani, Fernando Fabián. Hospital Italiano; ArgentinaMolecular Diversity Preservation International2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/90681Baravalle, Román; Rosso, Osvaldo Aníbal; Montani, Fernando Fabián; Causal Shannon-Fisher characterization of motor/imagery movements in EEG; Molecular Diversity Preservation International; Entropy; 20; 9; 9-2018; 660-6781099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/20/9/660/htminfo:eu-repo/semantics/altIdentifier/doi/10.3390/e20090660info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:32:50Zoai:ri.conicet.gov.ar:11336/90681instacron: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:34982025-09-29 09:32:50.376CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
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 BANDT AND POMPE METHODOLOGY
BRAIN OSCILLATION PATTERNS
EEG SIGNALS
FISHER INFORMATION AND SHANNON ENTROPY
topic BANDT AND POMPE METHODOLOGY
BRAIN OSCILLATION PATTERNS
EEG SIGNALS
FISHER INFORMATION AND SHANNON ENTROPY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
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.
Fil: Baravalle, Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Fil: Rosso, Osvaldo Aníbal. Universidad Nacional de La Plata; Argentina
Fil: Montani, Fernando Fabián. Hospital Italiano; Argentina
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
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/11336/90681
Baravalle, Román; Rosso, Osvaldo Aníbal; Montani, Fernando Fabián; Causal Shannon-Fisher characterization of motor/imagery movements in EEG; Molecular Diversity Preservation International; Entropy; 20; 9; 9-2018; 660-678
1099-4300
CONICET Digital
CONICET
url http://hdl.handle.net/11336/90681
identifier_str_mv Baravalle, Román; Rosso, Osvaldo Aníbal; Montani, Fernando Fabián; Causal Shannon-Fisher characterization of motor/imagery movements in EEG; Molecular Diversity Preservation International; Entropy; 20; 9; 9-2018; 660-678
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/http://www.mdpi.com/1099-4300/20/9/660/htm
info:eu-repo/semantics/altIdentifier/doi/10.3390/e20090660
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
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
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score 13.070432

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