Assessing the dependence of the number of EEG channels in the brain networks' modulations.


Journal

Brain research bulletin
ISSN: 1873-2747
Titre abrégé: Brain Res Bull
Pays: United States
ID NLM: 7605818

Informations de publication

Date de publication:
02 2021
Historique:
received: 16 07 2020
revised: 04 11 2020
accepted: 19 11 2020
pubmed: 27 11 2020
medline: 4 1 2022
entrez: 26 11 2020
Statut: ppublish

Résumé

Aim of the study was to evaluate the influence of the EEG channels number on the brain networks' analysis, to establish whether and how much higher density EEG actually contributes to add supplementary information to brain networks analyses. 59 electrodes EEGs were recorded in 20 healthy subjects in eyes open and closed condition. For each condition, we analyzed the recording dataset of 59 channels, and three sub-datasets obtained by the selection of 44, 30, 19 channels from the 59 ones. Then we computed the EEG sources of current density and evaluated the SW index in the four EEGs data montages. Results showed that in the eyes open condition the number of recording channels influences more the SW index modulation respect that in the eyes closed condition. Conversely, in the eyes closed condition the brain activity is less affected by specific brain regions' activations and the signal's generators produced not significant variations on EEG data and consequently the small world network measure is not affected by the recording channels number. We can conclude that in the eyes closed condition, the 19 EEG channels is an acceptable montage to study brain networks' modulations, to both detect the higher and the lower brain waves' frequencies.

Identifiants

pubmed: 33242521
pii: S0361-9230(20)30700-0
doi: 10.1016/j.brainresbull.2020.11.014
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

33-36

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Auteurs

Francesca Miraglia (F)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy. Electronic address: francesca.miraglia@sanraffaele.it.

Carlo Tomino (C)

Scientific Directorate, IRCCS San Raffaele Pisana, Rome, Italy.

Fabrizio Vecchio (F)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.

Francesca Alù (F)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.

Alessandro Orticoni (A)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.

Elda Judica (E)

Department of Neurorehabilitation Sciences, Casa Cura Policlinico, Milano, Italy.

Maria Cotelli (M)

Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.

Paolo Maria Rossini (PM)

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.

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Classifications MeSH