Biological motion coding in the brain: analysis of visually driven EEG functional networks.

Herein, we address the time evolution of brain functional networks computed from electroencephalographic activity driven by visual stimuli. We describe how these functional network signatures change in fast scale when confronted with point-light display stimuli depicting biological motion (BM) as op...

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Autores principales:	Daniel Fraiman, Ghislain Saunier, Eduardo F Martins, Claudia D Vargas
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ab6ae88941354533b1c60b2238f9a79f
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id	oai:doaj.org-article:ab6ae88941354533b1c60b2238f9a79f
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spelling	oai:doaj.org-article:ab6ae88941354533b1c60b2238f9a79f2021-11-18T08:37:52ZBiological motion coding in the brain: analysis of visually driven EEG functional networks.1932-620310.1371/journal.pone.0084612https://doaj.org/article/ab6ae88941354533b1c60b2238f9a79f2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24454734/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Herein, we address the time evolution of brain functional networks computed from electroencephalographic activity driven by visual stimuli. We describe how these functional network signatures change in fast scale when confronted with point-light display stimuli depicting biological motion (BM) as opposed to scrambled motion (SM). Whereas global network measures (average path length, average clustering coefficient, and average betweenness) computed as a function of time did not discriminate between BM and SM, local node properties did. Comparing the network local measures of the BM condition with those of the SM condition, we found higher degree and betweenness values in the left frontal (F7) electrode, as well as a higher clustering coefficient in the right occipital (O2) electrode, for the SM condition. Conversely, for the BM condition, we found higher degree values in central parietal (Pz) electrode and a higher clustering coefficient in the left parietal (P3) electrode. These results are discussed in the context of the brain networks involved in encoding BM versus SM.Daniel FraimanGhislain SaunierEduardo F MartinsClaudia D VargasPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e84612 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Daniel Fraiman Ghislain Saunier Eduardo F Martins Claudia D Vargas Biological motion coding in the brain: analysis of visually driven EEG functional networks.
description	Herein, we address the time evolution of brain functional networks computed from electroencephalographic activity driven by visual stimuli. We describe how these functional network signatures change in fast scale when confronted with point-light display stimuli depicting biological motion (BM) as opposed to scrambled motion (SM). Whereas global network measures (average path length, average clustering coefficient, and average betweenness) computed as a function of time did not discriminate between BM and SM, local node properties did. Comparing the network local measures of the BM condition with those of the SM condition, we found higher degree and betweenness values in the left frontal (F7) electrode, as well as a higher clustering coefficient in the right occipital (O2) electrode, for the SM condition. Conversely, for the BM condition, we found higher degree values in central parietal (Pz) electrode and a higher clustering coefficient in the left parietal (P3) electrode. These results are discussed in the context of the brain networks involved in encoding BM versus SM.
format	article
author	Daniel Fraiman Ghislain Saunier Eduardo F Martins Claudia D Vargas
author_facet	Daniel Fraiman Ghislain Saunier Eduardo F Martins Claudia D Vargas
author_sort	Daniel Fraiman
title	Biological motion coding in the brain: analysis of visually driven EEG functional networks.
title_short	Biological motion coding in the brain: analysis of visually driven EEG functional networks.
title_full	Biological motion coding in the brain: analysis of visually driven EEG functional networks.
title_fullStr	Biological motion coding in the brain: analysis of visually driven EEG functional networks.
title_full_unstemmed	Biological motion coding in the brain: analysis of visually driven EEG functional networks.
title_sort	biological motion coding in the brain: analysis of visually driven eeg functional networks.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/ab6ae88941354533b1c60b2238f9a79f
work_keys_str_mv	AT danielfraiman biologicalmotioncodinginthebrainanalysisofvisuallydriveneegfunctionalnetworks AT ghislainsaunier biologicalmotioncodinginthebrainanalysisofvisuallydriveneegfunctionalnetworks AT eduardofmartins biologicalmotioncodinginthebrainanalysisofvisuallydriveneegfunctionalnetworks AT claudiadvargas biologicalmotioncodinginthebrainanalysisofvisuallydriveneegfunctionalnetworks
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Biological motion coding in the brain: analysis of visually driven EEG functional networks.

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