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dc.contributor.authorGeerligs, Lindaen
dc.contributor.authorTsvetanov, Kamen A.en
dc.contributor.authorCam-Can,en
dc.contributor.authorHenson, Riken
dc.date.accessioned2018-04-10T16:23:26Z
dc.date.available2018-04-10T16:23:26Z
dc.date.issued2017-08en
dc.identifier.issn1065-9471
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/274742
dc.description.abstractMany studies report individual differences in functional connectivity, such as those related to age. However, estimates of connectivity from fMRI are confounded by other factors, such as vascular health, head motion and changes in the location of functional regions. Here, we investigate the impact of these confounds, and pre-processing strategies that can mitigate them, using data from the Cambridge Centre for Ageing & Neuroscience (www.cam-can.com). This dataset contained two sessions of resting-state fMRI from 214 adults aged 18-88. Functional connectivity between all regions was strongly related to vascular health, most likely reflecting respiratory and cardiac signals. These variations in mean connectivity limit the validity of between-participant comparisons of connectivity estimates, and were best mitigated by regression of mean connectivity over participants. We also showed that high-pass filtering, instead of band-pass filtering, produced stronger and more reliable age-effects. Head motion was correlated with gray-matter volume in selected brain regions, and with various cognitive measures, suggesting that it has a biological (trait) component, and warning against regressing out motion over participants. Finally, we showed that the location of functional regions was more variable in older adults, which was alleviated by smoothing the data, or using a multivariate measure of connectivity. These results demonstrate that analysis choices have a dramatic impact on connectivity differences between individuals, ultimately affecting the associations found between connectivity and cognition. It is important that fMRI connectivity studies address these issues, and we suggest a number of ways to optimize analysis choices. Hum Brain Mapp 38:4125-4156, 2017. © 2017 Wiley Periodicals, Inc.
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBrainen
dc.subjectNeural Pathwaysen
dc.subjectHumansen
dc.subjectMagnetic Resonance Imagingen
dc.subjectOrgan Sizeen
dc.subjectBrain Mappingen
dc.subjectMultivariate Analysisen
dc.subjectRegression Analysisen
dc.subjectReproducibility of Resultsen
dc.subjectHead Movementsen
dc.subjectResten
dc.subjectAdolescenten
dc.subjectAdulten
dc.subjectAgeden
dc.subjectAged, 80 and overen
dc.subjectMiddle Ageden
dc.subjectFemaleen
dc.subjectMaleen
dc.subjectYoung Adulten
dc.subjectGray Matteren
dc.subjectBiological Variation, Populationen
dc.subjectHealthy Agingen
dc.titleChallenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging.en
dc.typeArticle
prism.endingPage4156
prism.issueIdentifier8en
prism.publicationDate2017en
prism.publicationNameHuman brain mappingen
prism.startingPage4125
prism.volume38en
dc.identifier.doi10.17863/CAM.21879
dcterms.dateAccepted2017-05-08en
rioxxterms.versionofrecord10.1002/hbm.23653en
rioxxterms.versionVoR*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2017-08en
dc.contributor.orcidGeerligs, Linda [0000-0002-1624-8380]
dc.contributor.orcidTsvetanov, Kamen A. [0000-0002-3178-6363]
dc.contributor.orcidHenson, Richard [0000-0002-0712-2639]
dc.identifier.eissn1097-0193
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-idBritish Academy (pf160048)
pubs.funder-project-idMedical Research Council (MC_U105597119)
pubs.funder-project-idMedical Research Council (MC_UU_00005/8)
pubs.funder-project-idMedical Research Council (MC_U105579226)
cam.orpheus.successThu Jan 30 12:59:07 GMT 2020 - The item has an open VoR version.*
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International