Rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks

Electroencephalography (EEG) signals depict the electrical activity that take place at the surface of the brain, and provide an important tool for understanding a variety of cognitive processes. The EEG are the product of synchronized activity of the brain and variations in EEG oscillations patterns...

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Detalles Bibliográficos
Autores principales:	Baravalle, Román, Rosso, Osvaldo Aníbal, Montani, Fernando Fabián
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2018
Materias:	Física Electroencephalography Cognitive processes Rhythmic oscillations
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/97725 https://ri.conicet.gov.ar/11336/87939 https://aip.scitation.org/doi/abs/10.1063/1.5025187
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-97725
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Física Electroencephalography Cognitive processes Rhythmic oscillations
spellingShingle	Física Electroencephalography Cognitive processes Rhythmic oscillations Baravalle, Román Rosso, Osvaldo Aníbal Montani, Fernando Fabián Rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks
topic_facet	Física Electroencephalography Cognitive processes Rhythmic oscillations
description	Electroencephalography (EEG) signals depict the electrical activity that take place at the surface of the brain, and provide an important tool for understanding a variety of cognitive processes. The EEG are the product of synchronized activity of the brain and variations in EEG oscillations patterns reflect the underlying changes in neuronal synchrony. Our aim is to characterize the complexity of the EEG rhythmic oscillations bands when the subjects performs a visuomotor or imagined cognitive tasks (imagined movement), providing a causal mapping of the dynamical rhythmic activities of the brain as a measure of attentional investment. We estimate the intrinsic correlational structure of the signals within the causality entropy-complexity plane H x C, where the enhanced complexity in the gamma 1, gamma 2 and beta 1 bands allow us to distinguish motor-visual memory tasks from control conditions. We identify the dynamics of the gamma 1, gamma 2 and beta 1 rhythmic oscillations within the zone of a chaotic dissipative behavior, while in contrast the beta 2 band shows a much higher level of entropy and a significant low level of complexity that corresponds to a non-invertible cubic map. Our findings enhance the importance of the gamma band during attention in perceptual feature binding during the visuomotor/imagery 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	Rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks
title_short	Rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks
title_full	Rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks
title_fullStr	Rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks
title_full_unstemmed	Rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks
title_sort	rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks
publishDate	2018
url	http://sedici.unlp.edu.ar/handle/10915/97725 https://ri.conicet.gov.ar/11336/87939 https://aip.scitation.org/doi/abs/10.1063/1.5025187
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bdutipo_str	Repositorios
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Rhythmic activities of the brain: quantifying the high complexity of beta and gamma oscillations during visuomotor tasks

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