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

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 acro...

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Detalles Bibliográficos
Autores principales: Baravalle, Román, Rosso, Osvaldo Aníbal, Montani, Fernando Fabián
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Exactas
Física
Bandt and pompe methodology
Brain oscillation patterns
EEG signals
Fisher information and Shannon entropy
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/100468
https://ri.conicet.gov.ar/11336/90681
http://www.mdpi.com/1099-4300/20/9/660/htm
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-100468
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Exactas
Física
Bandt and pompe methodology
Brain oscillation patterns
EEG signals
Fisher information and Shannon entropy
spellingShingle Ciencias Exactas
Física
Bandt and pompe methodology
Brain oscillation patterns
EEG signals
Fisher information and Shannon entropy
Baravalle, Román
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
topic_facet Ciencias Exactas
Física
Bandt and pompe methodology
Brain oscillation patterns
EEG signals
Fisher information and Shannon entropy
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.
format Articulo
Articulo
author Baravalle, Román
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author_facet Baravalle, Román
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author_sort Baravalle, Román
title Causal Shannon-Fisher Characterization of Motor/Imagery Movements in EEG
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
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/100468
https://ri.conicet.gov.ar/11336/90681
http://www.mdpi.com/1099-4300/20/9/660/htm
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