Trait anxiety is associated with attentional brain networks

dc.contributor.authorPeña Arteaga, Víctor de la
dc.contributor.authorChavarría-Elizondo, Pamela
dc.contributor.authorJuaneda Seguí, Asier
dc.contributor.authorMartínez Zalacaín, Ignacio
dc.contributor.authorMorgado, Pedro
dc.contributor.authorMenchón, José Manuel
dc.contributor.authorPicó-pérez, Maria
dc.contributor.authorFullana Rivas, Miguel Àngel
dc.contributor.authorSoriano Más, Carles
dc.date.accessioned2024-07-01T14:53:24Z
dc.date.available2024-07-01T14:53:24Z
dc.date.issued2024-06-01
dc.date.updated2024-06-28T10:49:21Z
dc.description.abstractTrait anxiety is a well-established risk factor for anxiety and depressive disorders, yet its neural correlates are not clearly understood. In this study, we investigated the neural correlates of trait anxiety in a large sample (n = 179) of individuals who completed the trait and state versions of the State-Trait Anxiety Inventory and underwent resting-state functional magnetic resonance imaging. We used independent component analysis to characterize individual resting-state networks (RSNs), and multiple regression analyses to assess the relationship between trait anxiety and intrinsic connectivity. Trait anxiety was significantly associated with intrinsic connectivity in different regions of three RSNs (dorsal attention network, default mode network, and auditory network) when controlling for state anxiety. These RSNs primarily support attentional processes. Notably, when state anxiety was not controlled for, a different pattern of results emerged, highlighting the importance of considering this factor in assessing the neural correlates of trait anxiety. Our findings suggest that trait anxiety is uniquely associated with resting-state brain connectivity in networks mainly supporting attentional processes. Moreover, controlling for state anxiety is crucial when assessing the neural correlates of trait anxiety. These insights may help refine current neurobiological models of anxiety and identify potential targets for neurobiologically-based interventions.
dc.format.extent8 p.
dc.format.mimetypeapplication/pdf
dc.identifier.issn1873-7862
dc.identifier.pmid38492550
dc.identifier.urihttps://hdl.handle.net/2445/214051
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.euroneuro.2024.02.013
dc.relation.ispartofEuropean Neuropsychopharmacology, 2024, vol. 83, p. 19-26
dc.relation.urihttps://doi.org/10.1016/j.euroneuro.2024.02.013
dc.rightscc by-nc-nd (c) Peña Arteaga, Víctor de la et al, 2024
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceArticles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
dc.subject.classificationAnsietat
dc.subject.classificationXarxes neuronals (Neurobiologia)
dc.subject.otherAnxiety
dc.subject.otherNeural networks (Neurobiology)
dc.titleTrait anxiety is associated with attentional brain networks
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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