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dc.contributor.authorGeerligs, Lindaen
dc.contributor.authorRubinov, Mikailen
dc.contributor.authorCam-Can,en
dc.contributor.authorHenson, Richard Nen
dc.date.accessioned2019-06-04T13:04:41Z
dc.date.available2019-06-04T13:04:41Z
dc.date.issued2015-10-14en
dc.identifier.issn1529-2401
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/293374
dc.description.abstractResting-state functional connectivity, as measured by functional magnetic resonance imaging (fMRI), is often treated as a trait, used, for example, to draw inferences about individual differences in cognitive function, or differences between healthy or diseased populations. However, functional connectivity can also depend on the individual's mental state. In the present study, we examined the relative contribution of state and trait components in shaping an individual's functional architecture. We used fMRI data from a large, population-based human sample (N = 587, age 18-88 years), as part of the Cambridge Centre for Aging and Neuroscience (Cam-CAN), which were collected in three mental states: resting, performing a sensorimotor task, and watching a movie. Whereas previous studies have shown commonalities across mental states in the average functional connectivity across individuals, we focused on the effects of states on the pattern of individual differences in functional connectivity. We found that state effects were as important as trait effects in shaping individual functional connectivity patterns, each explaining an approximately equal amount of variance. This was true when we looked at aging, as one specific dimension of individual differences, as well as when we looked at generic aspects of individual variation. These results show that individual differences in functional connectivity consist of state-dependent aspects, as well as more stable, trait-like characteristics. Studying individual differences in functional connectivity across a wider range of mental states will therefore provide a more complete picture of the mechanisms underlying factors such as cognitive ability, aging, and disease. SIGNIFICANCE STATEMENT: The brain's functional architecture is remarkably similar across different individuals and across different mental states, which is why many studies use functional connectivity as a trait measure. Despite these trait-like aspects, functional connectivity varies over time and with changes in cognitive state. We measured connectivity in three different states to quantify the size of the trait-like component of functional connectivity, compared with the state-dependent component. Our results show that studying individual differences within one state (such as resting) uncovers only part of the relevant individual differences in brain function, and that the study of functional connectivity under multiple mental states is essential to disentangle connectivity differences that are transient versus those that represent more stable, trait-like characteristics of an individual.
dc.languageengen
dc.publisherSociety for Neuroscience
dc.subjectagingen
dc.subjectbrain connectivityen
dc.subjectfMRIen
dc.subjectnetworken
dc.subjectresting stateen
dc.subjectAdolescenten
dc.subjectAdulten
dc.subjectAge Factorsen
dc.subjectAgeden
dc.subjectAged, 80 and overen
dc.subjectAgingen
dc.subjectBrainen
dc.subjectBrain Mappingen
dc.subjectFemaleen
dc.subjectHumansen
dc.subjectImage Processing, Computer-Assisteden
dc.subjectIndividualityen
dc.subjectMagnetic Resonance Imagingen
dc.subjectMaleen
dc.subjectMiddle Ageden
dc.subjectNeural Pathwaysen
dc.subjectOxygenen
dc.subjectResten
dc.subjectYoung Adulten
dc.titleState and Trait Components of Functional Connectivity: Individual Differences Vary with Mental State.en
dc.typeArticle
prism.endingPage13961
prism.issueIdentifier41en
prism.publicationDate2015en
prism.publicationNameJournal of Neuroscienceen
prism.startingPage13949
prism.volume35en
dc.identifier.doi10.17863/CAM.21986
dc.identifier.doi10.17863/CAM.21986
dcterms.dateAccepted2015-08-18en
rioxxterms.versionofrecord10.1523/JNEUROSCI.1324-15.2015en
rioxxterms.versionVoR*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2015-10-14en
dc.identifier.eissn1529-2401
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idBBSRC (BB/H008217/1)
pubs.funder-project-idWELLCOME TRUST (103838/Z/14/Z)
pubs.funder-project-idMRC (unknown)
pubs.funder-project-idMedical Research Council (MC_U105597119)
pubs.funder-project-idMedical Research Council (MC_U105579226)
dc.identifier.urlhttp://www.jneurosci.org/content/35/41/13949en


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