Publication:
EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review.

cris.virtual.author-orcid0000-0002-1472-4638
cris.virtualsource.author-orcid7a31d195-a565-4659-9ab7-18490b97cee5
datacite.rightsopen.access
dc.contributor.authorMichel, Christoph M
dc.contributor.authorKönig, Thomas
dc.date.accessioned2024-10-25T13:22:04Z
dc.date.available2024-10-25T13:22:04Z
dc.date.issued2018-10-15
dc.description.abstractThe present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG). This method involves the examination of electrical microstates in the brain, which are defined as successive short time periods during which the configuration of the scalp potential field remains semi-stable, suggesting quasi-simultaneity of activity among the nodes of large-scale networks. A few prototypic microstates, which occur in a repetitive sequence across time, can be reliably identified across participants. Researchers have proposed that these microstates represent the basic building blocks of the chain of spontaneous conscious mental processes, and that their occurrence and temporal dynamics determine the quality of mentation. Several studies have further demonstrated that disturbances of mental processes associated with neurological and psychiatric conditions manifest as changes in the temporal dynamics of specific microstates. Combined EEG-fMRI studies and EEG source imaging studies have indicated that EEG microstates are closely associated with resting-state networks as identified using fMRI. The scale-free properties of the time series of EEG microstates explain why similar networks can be observed at such different time scales. The present review will provide an overview of these EEG microstates, available methods for analysis, the functional interpretations of findings regarding these microstates, and their behavioral and clinical correlates.
dc.description.numberOfPages17
dc.description.sponsorshipZentrum für Translationale Forschung der Universitätsklinik für Psychiatrie und Psychotherapie
dc.identifier.doi10.7892/boris.108262
dc.identifier.pmid29196270
dc.identifier.publisherDOI10.1016/j.neuroimage.2017.11.062
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/156388
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofNeuroImage
dc.relation.issn1053-8119
dc.relation.organization33BF865BF1D23C90E053960C5C8246BD
dc.subjectConsciousness EEG microstates Metastability Psychiatric disease Resting state networks State-dependent information processing
dc.subject.ddc500 - Science::570 - Life sciences; biology
dc.titleEEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage593
oaire.citation.issuePt B
oaire.citation.startPage577
oaire.citation.volume180
oairecerif.author.affiliationZentrum für Translationale Forschung der Universitätsklinik für Psychiatrie und Psychotherapie
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.date.licenseChanged2019-10-23 20:06:19
unibe.description.ispublishedpub
unibe.eprints.legacyId108262
unibe.journal.abbrevTitleNEUROIMAGE
unibe.refereedtrue
unibe.subtype.articlereview

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