Electrophysiological brain connectivity: theory and implementation

He, Bin; Astolfi, Laura; Valdes-Sosa, Pedro A; Marinazzo, Daniele; Palva, Satu; Benar, Christian G; Michel, Christoph; Koenig, Thomas

doi:10.1109/TBME.2019.2913928

Scientific article

Review

English

Electrophysiological brain connectivity: theory and implementation

ContributorsHe, Bin; Astolfi, Laura; Valdes-Sosa, Pedro A; Marinazzo, Daniele; Palva, Satu; Benar, Christian G; Michel, Christoph; Koenig, Thomas

Published inIEEE Transactions on Biomedical Engineering, vol. 66, no. 7, p. 2115-2137

Publication date2019

Abstract

We review the theory and algorithms of electrophysiological brain connectivity analysis. This tutorial is aimed at providing an introduction to brain functional connectivity from electrophysiological signals, including electroencephalography (EEG), magnetoencephalography (MEG), electrocorticography (ECoG), stereoelectroencephalography (SEEG). Various connectivity estimators are discussed, and algorithms introduced. Important issues for estimating and mapping brain functional connectivity with electrophysiology are discussed.

Affiliation entities

Faculté de médecine / Section de médecine fondamentale / Département de neurosciences fondamentales

Research groups

Organisation et plasticité des réseaux neuronaux cérébraux (148)

Citation (ISO format)

HE, Bin et al. Electrophysiological brain connectivity: theory and implementation. In: IEEE Transactions on Biomedical Engineering, 2019, vol. 66, n° 7, p. 2115–2137. doi: 10.1109/TBME.2019.2913928

Article (Published version)

CC BY

Identifiers

PID : unige:129907
DOI : 10.1109/TBME.2019.2913928
PMID : 31071012

Journal ISSN0018-9294

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Creation29/01/2020 23:37:00

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Electrophysiological brain connectivity: theory and implementation

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