A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity

dc.contributor.authorTakagi, Yu
dc.contributor.authorSakai, Yuki
dc.contributor.authorAbe, Yoshinari
dc.contributor.authorNishida, Seiji
dc.contributor.authorHarrison, Ben J.
dc.contributor.authorMartínez Zalacaín, Ignacio
dc.contributor.authorSoriano Mas, Carles
dc.contributor.authorNarumoto, Jin
dc.contributor.authorTanaka, Saori C.
dc.date.accessioned2021-04-12T15:16:10Z
dc.date.available2021-04-12T15:16:10Z
dc.date.issued2018-05-01
dc.date.updated2021-04-12T13:37:43Z
dc.description.abstractAnxiety is one of the most common mental states of humans. Although it drives us to avoid frightening situations and to achieve our goals, it may also impose significant suffering and burden if it becomes extreme. Because we experience anxiety in a variety of forms, previous studies investigated neural substrates of anxiety in a variety of ways. These studies revealed that individuals with high state, trait, or pathological anxiety showed altered neural substrates. However, no studies have directly investigated whether the different dimensions of anxiety share a common neural substrate, despite its theoretical and practical importance. Here, we investigated a brain network of anxiety shared by different dimensions of anxiety in a unified analytical framework using functional magnetic resonance imaging (fMRI). We analyzed different datasets in a single scale, which was defined by an anxiety-related brain network derived from whole brain. We first conducted the anxiety provocation task with healthy participants who tended to feel anxiety related to obsessive-compulsive disorder (OCD) in their daily life. We found a common state anxiety brain network across participants (1585 trials obtained from 10 participants). Then, using the resting-state fMRI in combination with the participants' behavioral trait anxiety scale scores (879 participants from the Human Connectome Project), we demonstrated that trait anxiety shared the same brain network as state anxiety. Furthermore, the brain network between common to state and trait anxiety could detect patients with OCD, which is characterized by pathological anxiety-driven behaviors (174 participants from multi-site datasets). Our findings provide direct evidence that different dimensions of anxiety have a substantial biological inter-relationship. Our results also provide a biologically defined dimension of anxiety, which may promote further investigation of various human characteristics, including psychiatric disorders, from the perspective of anxiety.
dc.format.extent11 p.
dc.format.mimetypeapplication/pdf
dc.identifier.pmid29410078
dc.identifier.urihttps://hdl.handle.net/2445/176190
dc.language.isoeng
dc.publisherElsevier B. V.
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.neuroimage.2018.01.080
dc.relation.ispartofNeuroImage, 2018, vol. 172, p. 506-516
dc.relation.urihttps://doi.org/10.1016/j.neuroimage.2018.01.080
dc.rightscc by-nc-nd (c) Takagi et al., 2018
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.classificationAprenentatge automàtic
dc.subject.otherAnxiety
dc.subject.otherMachine learning
dc.titleA common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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