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dc.contributor.authorVidal-Pineiro, Didac
dc.contributor.authorWang, Yunpeng
dc.contributor.authorKrogsrud, Stine K
dc.contributor.authorAmlien, Inge K
dc.contributor.authorBaaré, William Fc
dc.contributor.authorBartres-Faz, David
dc.contributor.authorBertram, Lars
dc.contributor.authorBrandmaier, Andreas M
dc.contributor.authorDrevon, Christian A
dc.contributor.authorDüzel, Sandra
dc.contributor.authorEbmeier, Klaus
dc.contributor.authorHenson, Rik
dc.contributor.authorJunqué, Carme
dc.contributor.authorKievit, Rogier Andrew
dc.contributor.authorKühn, Simone
dc.contributor.authorLeonardsen, Esten
dc.contributor.authorLindenberger, Ulman
dc.contributor.authorMadsen, Kathrine S
dc.contributor.authorMagnussen, Fredrik
dc.contributor.authorMowinckel, Athanasia Monika
dc.contributor.authorNyberg, Lars
dc.contributor.authorRoe, James M
dc.contributor.authorSegura, Barbara
dc.contributor.authorSmith, Stephen M
dc.contributor.authorSørensen, Øystein
dc.contributor.authorSuri, Sana
dc.contributor.authorWesterhausen, Rene
dc.contributor.authorZalesky, Andrew
dc.contributor.authorZsoldos, Enikő
dc.contributor.authorWalhovd, Kristine Beate
dc.contributor.authorFjell, Anders
dc.date.accessioned2021-11-12T16:48:08Z
dc.date.available2021-11-12T16:48:08Z
dc.date.issued2021-11-10
dc.date.submitted2021-05-04
dc.identifier.issn2050-084X
dc.identifier.other69995
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/330593
dc.descriptionFunder: Norges Forskningsråd; FundRef: http://dx.doi.org/10.13039/501100005416
dc.descriptionFunder: Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg; FundRef: http://dx.doi.org/10.13039/501100012319
dc.descriptionFunder: NIHR Biomedical Research Centre, Oxford; FundRef: http://dx.doi.org/10.13039/501100013373
dc.descriptionFunder: Knut and Alice Wallenberg Foundation; FundRef: http://dx.doi.org/10.13039/501100004063
dc.descriptionFunder: ICREA Academia Award
dc.description.abstractBrain age is a widely used index for quantifying individuals' brain health as deviation from a normative brain aging trajectory. Higher-than-expected brain age is thought partially to reflect above-average rate of brain aging. Here, we explicitly tested this assumption in two independent large test datasets (UK Biobank [main] and Lifebrain [replication]; longitudinal observations ≈ 2750 and 4200) by assessing the relationship between cross-sectional and longitudinal estimates of brain age. Brain age models were estimated in two different training datasets (n ≈ 38,000 [main] and 1800 individuals [replication]) based on brain structural features. The results showed no association between cross-sectional brain age and the rate of brain change measured longitudinally. Rather, brain age in adulthood was associated with the congenital factors of birth weight and polygenic scores of brain age, assumed to reflect a constant, lifelong influence on brain structure from early life. The results call for nuanced interpretations of cross-sectional indices of the aging brain and question their validity as markers of ongoing within-person changes of the aging brain. Longitudinal imaging data should be preferred whenever the goal is to understand individual change trajectories of brain and cognition in aging.
dc.languageen
dc.publishereLife Sciences Publications, Ltd
dc.subjectResearch Article
dc.subjectNeuroscience
dc.subjectAging
dc.subjectbrain age gap
dc.subjectBrain age delta
dc.subjectbrain decline
dc.subjectneuroimaging
dc.subjectT1w
dc.subjectHuman
dc.titleIndividual variations in 'brain age' relate to early-life factors more than to longitudinal brain change.
dc.typeArticle
dc.date.updated2021-11-12T16:48:06Z
prism.publicationNameElife
prism.volume10
dc.identifier.doi10.17863/CAM.78037
dcterms.dateAccepted2021-10-06
rioxxterms.versionofrecord10.7554/eLife.69995
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
datacite.contributor.supervisoreditor: Zhou, Juan
datacite.contributor.supervisorsenior_editor: Büchel, Christian
dc.contributor.orcidVidal-Pineiro, Didac [0000-0001-9997-9156]
dc.contributor.orcidBartres-Faz, David [0000-0001-6020-4118]
dc.contributor.orcidBrandmaier, Andreas M [0000-0001-8765-6982]
dc.contributor.orcidDrevon, Christian A [0000-0002-7216-2784]
dc.contributor.orcidEbmeier, Klaus [0000-0002-5190-7038]
dc.contributor.orcidHenson, Rik [0000-0002-0712-2639]
dc.contributor.orcidKievit, Rogier Andrew [0000-0003-0700-4568]
dc.contributor.orcidKühn, Simone [0000-0001-6823-7969]
dc.contributor.orcidLindenberger, Ulman [0000-0001-8428-6453]
dc.contributor.orcidMagnussen, Fredrik [0000-0003-2574-1705]
dc.contributor.orcidMowinckel, Athanasia Monika [0000-0002-5756-0223]
dc.contributor.orcidNyberg, Lars [0000-0002-3367-1746]
dc.contributor.orcidSmith, Stephen M [0000-0001-8166-069X]
dc.contributor.orcidZsoldos, Enikő [0000-0002-0478-6165]
dc.identifier.eissn2050-084X
pubs.funder-project-idH2020 European Research Council (732592)
pubs.funder-project-idH2020 European Research Council (283634 725025)
pubs.funder-project-idH2020 European Research Council (313440)
pubs.funder-project-idMaría de Maeztu Unit of Excellence (Institute of Neurosciences,University of Barcelona) (MDM-2017-0729)
pubs.funder-project-idEuropean Research Council (677804)
pubs.funder-project-idUK Medical Research Council (G1001354)
pubs.funder-project-idCharitable Trust (1117747)
pubs.funder-project-idAlzheimer’s Research UK (441)
pubs.funder-project-idNorges Forskningsråd (324882)
pubs.funder-project-idMedical Research Council (SUAG/046 G101400)
cam.issuedOnline2021-11-10


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