EEG-based functional brain networks: does the network size matter?

Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks--whose nodes can vary from tens to hundreds--are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to which various g...

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Autores principales:	Amir Joudaki, Niloufar Salehi, Mahdi Jalili, Maria G Knyazeva
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8e1739ad84ad43a1ac0aaa0020284b9e
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id	oai:doaj.org-article:8e1739ad84ad43a1ac0aaa0020284b9e
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spelling	oai:doaj.org-article:8e1739ad84ad43a1ac0aaa0020284b9e2021-11-18T07:20:57ZEEG-based functional brain networks: does the network size matter?1932-620310.1371/journal.pone.0035673https://doaj.org/article/8e1739ad84ad43a1ac0aaa0020284b9e2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22558196/?tool=EBIhttps://doaj.org/toc/1932-6203Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks--whose nodes can vary from tens to hundreds--are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to which various graph metrics depend upon the network size. To this end, EEGs from 32 normal subjects were recorded and functional networks of three different sizes were extracted. A state-space based method was used to calculate cross-correlation matrices between different brain regions. These correlation matrices were used to construct binary adjacency connectomes, which were assessed with regards to a number of graph metrics such as clustering coefficient, modularity, efficiency, economic efficiency, and assortativity. We showed that the estimates of these metrics significantly differ depending on the network size. Larger networks had higher efficiency, higher assortativity and lower modularity compared to those with smaller size and the same density. These findings indicate that the network size should be considered in any comparison of networks across studies.Amir JoudakiNiloufar SalehiMahdi JaliliMaria G KnyazevaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 4, p e35673 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Amir Joudaki Niloufar Salehi Mahdi Jalili Maria G Knyazeva EEG-based functional brain networks: does the network size matter?
description	Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks--whose nodes can vary from tens to hundreds--are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to which various graph metrics depend upon the network size. To this end, EEGs from 32 normal subjects were recorded and functional networks of three different sizes were extracted. A state-space based method was used to calculate cross-correlation matrices between different brain regions. These correlation matrices were used to construct binary adjacency connectomes, which were assessed with regards to a number of graph metrics such as clustering coefficient, modularity, efficiency, economic efficiency, and assortativity. We showed that the estimates of these metrics significantly differ depending on the network size. Larger networks had higher efficiency, higher assortativity and lower modularity compared to those with smaller size and the same density. These findings indicate that the network size should be considered in any comparison of networks across studies.
format	article
author	Amir Joudaki Niloufar Salehi Mahdi Jalili Maria G Knyazeva
author_facet	Amir Joudaki Niloufar Salehi Mahdi Jalili Maria G Knyazeva
author_sort	Amir Joudaki
title	EEG-based functional brain networks: does the network size matter?
title_short	EEG-based functional brain networks: does the network size matter?
title_full	EEG-based functional brain networks: does the network size matter?
title_fullStr	EEG-based functional brain networks: does the network size matter?
title_full_unstemmed	EEG-based functional brain networks: does the network size matter?
title_sort	eeg-based functional brain networks: does the network size matter?
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/8e1739ad84ad43a1ac0aaa0020284b9e
work_keys_str_mv	AT amirjoudaki eegbasedfunctionalbrainnetworksdoesthenetworksizematter AT niloufarsalehi eegbasedfunctionalbrainnetworksdoesthenetworksizematter AT mahdijalili eegbasedfunctionalbrainnetworksdoesthenetworksizematter AT mariagknyazeva eegbasedfunctionalbrainnetworksdoesthenetworksizematter
_version_	1718423611018051584

EEG-based functional brain networks: does the network size matter?

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