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On the Operational Utility of Measures of Multichannel EEGs

Multichannel EEGs were obtained from healthy participants in the eyes-closed no-task condition and in the eyes-open condition (where the alpha component is typically abolished). EEG dynamics in the two conditions were quantified with two related binary Lempel–Ziv measures of the first principal comp...

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Autores principales: Darmon, David, Watanabe, Tomas, Cellucci, Christopher, Rapp, Paul E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617715/
https://www.ncbi.nlm.nih.gov/pubmed/34828132
http://dx.doi.org/10.3390/e23111434
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author Darmon, David
Watanabe, Tomas
Cellucci, Christopher
Rapp, Paul E.
author_facet Darmon, David
Watanabe, Tomas
Cellucci, Christopher
Rapp, Paul E.
author_sort Darmon, David
collection PubMed
description Multichannel EEGs were obtained from healthy participants in the eyes-closed no-task condition and in the eyes-open condition (where the alpha component is typically abolished). EEG dynamics in the two conditions were quantified with two related binary Lempel–Ziv measures of the first principal component, and with three measures of integrated information, including the more recently proposed integrated synergy. Both integrated information and integrated synergy with model order [Formula: see text] had greater values in the eyes-closed condition. When the model order of integrated synergy was determined with the Bayesian Information Criterion, this pattern was reversed, and in line with the other measures, integrated synergy was greater in the eyes-open condition. Eyes-open versus eyes-closed separation was quantified by calculating the between-condition effect size. The Lempel–Ziv complexity of the first principal component showed greater separation than the measures of integrated information.
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spelling pubmed-86177152021-11-27 On the Operational Utility of Measures of Multichannel EEGs Darmon, David Watanabe, Tomas Cellucci, Christopher Rapp, Paul E. Entropy (Basel) Article Multichannel EEGs were obtained from healthy participants in the eyes-closed no-task condition and in the eyes-open condition (where the alpha component is typically abolished). EEG dynamics in the two conditions were quantified with two related binary Lempel–Ziv measures of the first principal component, and with three measures of integrated information, including the more recently proposed integrated synergy. Both integrated information and integrated synergy with model order [Formula: see text] had greater values in the eyes-closed condition. When the model order of integrated synergy was determined with the Bayesian Information Criterion, this pattern was reversed, and in line with the other measures, integrated synergy was greater in the eyes-open condition. Eyes-open versus eyes-closed separation was quantified by calculating the between-condition effect size. The Lempel–Ziv complexity of the first principal component showed greater separation than the measures of integrated information. MDPI 2021-10-30 /pmc/articles/PMC8617715/ /pubmed/34828132 http://dx.doi.org/10.3390/e23111434 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Darmon, David
Watanabe, Tomas
Cellucci, Christopher
Rapp, Paul E.
On the Operational Utility of Measures of Multichannel EEGs
title On the Operational Utility of Measures of Multichannel EEGs
title_full On the Operational Utility of Measures of Multichannel EEGs
title_fullStr On the Operational Utility of Measures of Multichannel EEGs
title_full_unstemmed On the Operational Utility of Measures of Multichannel EEGs
title_short On the Operational Utility of Measures of Multichannel EEGs
title_sort on the operational utility of measures of multichannel eegs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617715/
https://www.ncbi.nlm.nih.gov/pubmed/34828132
http://dx.doi.org/10.3390/e23111434
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