Patients with fibromyalgia show increased beta connectivity across distant networks and microstates alterations in resting-state electroencephalogram

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Psicoloxía Clínica e Psicobioloxíagl
dc.contributor.authorGonzález Villar, Alberto Jacobo
dc.contributor.authorTriñanes Pego, Yolanda
dc.contributor.authorGómez Perretta, Claudio
dc.contributor.authorCarrillo de la Peña, María Teresa
dc.date.accessioned2021-05-10T08:35:45Z
dc.date.available2021-05-10T08:35:45Z
dc.date.issued2020
dc.description.abstractFibromyalgia (FM) is a chronic condition characterized by widespread pain of unknown etiology associated with alterations in the central nervous system. Although previous studies demonstrated altered patterns of brain activity during pain processing in patients with FM, alterations in spontaneous brain oscillations, in terms of functional connectivity or microstates, have been barely explored so far. Here we recorded the EEG from 43 patients with FM and 51 healthy controls during open-eyes resting-state. We analyzed the functional connectivity between different brain networks computing the phase lag index after group Independent Component Analysis, and also performed an EEG microstates analysis. Patients with FM showed increased beta band connectivity between different brain networks and alterations in some microstates parameters (specifically lower occurrence and coverage of microstate class C). We speculate that the observed alterations in spontaneous EEG may suggest the dominance of endogenous top-down influences; this could be related to limited processing of novel external events and the deterioration of flexible behavior and cognitive control frequently reported for FM. These findings provide the first evidence of alterations in long-distance phase connectivity and microstate indices at rest, and represent progress towards the understanding of the pathophysiology of fibromyalgia and the identification of novel biomarkers for its diagnosisgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis study was supported by funding from the Spanish Government (Ministerio de Economía y Competitividad; grant number PSI2016-75313-R) and from the Galician Government (Consellería de Cultura, Educación e Ordenación Universitaria; axudas para a consolidación e Estruturación de unidades de investigación competitivas do Sistema universitario de Galicia; grant number GRC GI-1807-USC; REF: ED431-2017/27). A.G.V. was partially supported by a grant from Xunta de Galicia (Axudas de apoio á etapa de formación posdoutoral 2018) and by the Portuguese Foundation for Science and Technology within the scope of the Individual Call to Scientific Employment Stimulus 2017gl
dc.identifier.citationNeuroImage, 223 (2020), 117266gl
dc.identifier.doi10.1016/j.neuroimage.2020.117266
dc.identifier.issn1053-8119
dc.identifier.urihttp://hdl.handle.net/10347/26159
dc.language.isoenggl
dc.publisherElseviergl
dc.relation.publisherversionhttps://doi.org/10.1016/j.neuroimage.2020.117266gl
dc.rights© 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)gl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titlePatients with fibromyalgia show increased beta connectivity across distant networks and microstates alterations in resting-state electroencephalogramgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication93cab378-de51-45d4-a34c-0a39da67fd87
relation.isAuthorOfPublication963253ed-b1d6-49d7-ae69-2290b82170d6
relation.isAuthorOfPublication.latestForDiscovery93cab378-de51-45d4-a34c-0a39da67fd87

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