About: EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint http://eprints.org/ontology/EPrint Article Article Academic Article Academic Article
seeAlso	HTML Summary of #74303 EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions HTML Summary of #74303 EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions
sameAs	EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions
http://eprints.org/ontology/hasAccepted	EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF)
http://eprints.org/ontology/hasDocument	EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (Other)
http://eprints.org/ontology/hasPublished	EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF)
dc:hasVersion	EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF) EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions (PDF)
Title	EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2019-06-20 2019-06-20
Creator	Monica Betta Monica Betta Giulio Bernardi Giulio Bernardi Emiliano Ricciardi Emiliano Ricciardi Laura Sophie Imperatori Laura Sophie Imperatori Francesca Siclari Francesca Siclari Pietro Pietrini Pietro Pietrini Andrés Canales-Johnson Andrés Canales-Johnson Luca Cecchetti Luca Cecchetti Srivas Chennu Srivas Chennu
status	peer reviewed peer reviewed published published
Publisher	Springer Springer
abstract	The weighted Phase Lag Index (wPLI) and the weighted Symbolic Mutual Information (wSMI) represent two robust and widely used methods for MEG/EEG functional connectivity estimation. Interestingly, both ethods have been shown to detect relative alterations of brain functional connectivity in conditions associated with changes in the level of consciousness, such as following severe brain injury or under naesthesia. Despite these promising findings, it was unclear whether wPLI and wSMI may account for distinct or similar types of functional interactions. Using simulated high-density (hd-)EEG data, we demonstrate that while wPLI has high sensitivity for couplings presenting a mixture of linear and nonlinear interdependencies, only wSMI can detect purely nonlinear interaction dynamics. Moreover, we evaluated the potential impact of these differences on real experimental data by computing wPLI and wSMI connectivity in hd-EEG recordings of 12 healthy adults during wakefulness and deep (N3-)sleep, characterized by different levels of consciousness. In line with the simulation-based findings, this analysis revealed that both methods have different sensitivity for changes in brain connectivity across the two vigilance states. Our results indicate that the conjoint use of wPLI and wSMI may represent a powerful tool to study the functional bases of consciousness in physiological and pathological conditions. The weighted Phase Lag Index (wPLI) and the weighted Symbolic Mutual Information (wSMI) represent two robust and widely used methods for MEG/EEG functional connectivity estimation. Interestingly, both ethods have been shown to detect relative alterations of brain functional connectivity in conditions associated with changes in the level of consciousness, such as following severe brain injury or under naesthesia. Despite these promising findings, it was unclear whether wPLI and wSMI may account for distinct or similar types of functional interactions. Using simulated high-density (hd-)EEG data, we demonstrate that while wPLI has high sensitivity for couplings presenting a mixture of linear and nonlinear interdependencies, only wSMI can detect purely nonlinear interaction dynamics. Moreover, we evaluated the potential impact of these differences on real experimental data by computing wPLI and wSMI connectivity in hd-EEG recordings of 12 healthy adults during wakefulness and deep (N3-)sleep, characterized by different levels of consciousness. In line with the simulation-based findings, this analysis revealed that both methods have different sensitivity for changes in brain connectivity across the two vigilance states. Our results indicate that the conjoint use of wPLI and wSMI may represent a powerful tool to study the functional bases of consciousness in physiological and pathological conditions.
Is Part Of	Scientific Reports Scientific Reports https://kar.kent.ac.uk/id/repository https://kar.kent.ac.uk/id/repository
Subject	Q Science Q Science
list of authors	https://kar.kent.ac.uk/id/eprint/74303#authors https://kar.kent.ac.uk/id/eprint/74303#authors
volume	9 9
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #74303 EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions HTML Summary of #74303 EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions

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