dc.date.accessioned | 2022-08-05T17:02:11Z | |
dc.date.available | 2022-08-05T17:02:11Z | |
dc.date.created | 2022-05-20T09:29:55Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Rutherford, Saige Fraza, Charlotte Dinga, Richard Kia, Seyed Mostafa Wolfers, Thomas Zabihi, Mariam Berthet, Pierre Guillaume Raphael Worker, Amanda Verdi, Serena Andrews, Derek Han, Laura K. M. Bayer, Johanna M. M. Dazzan, Paola McGuire, Phillip Mocking, Roel T. Schene, Aart Sripada, Chandra Tso, Ivy F. Duval, Elizabeth R. Chang, Soo-Eun Penninx, Brenda W. J. H. Heitzeg, Mary M. Burt, S. Alexandra Hyde, Luke W. Amaral, David Nordahl, Christine Wu Andreasssen, Ole A. Westlye, Lars Tjelta Zahn, Roland Ruhe, Henricus G. Beckmann, Christian Marquand, Andre F. . Charting brain growth and aging at high spatial precision. eLIFE. 2022, 11 | |
dc.identifier.uri | http://hdl.handle.net/10852/94819 | |
dc.description.abstract | Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assembled a reference cohort of neuroimaging data from 82 sites (N=58,836; ages 2–100) and used normative modeling to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are validated against a manually quality checked subset (N=24,354) and we provide an interface for transferring to new data sources. We showcase the clinical value by applying the models to a transdiagnostic psychiatric sample (N=1985), showing they can be used to quantify variability underlying multiple disorders whilst also refining case-control inferences. These models will be augmented with additional samples and imaging modalities as they become available. This provides a common reference platform to bind results from different studies and ultimately paves the way for personalized clinical decision-making. | |
dc.language | EN | |
dc.publisher | eLife Sciences Publications Ltd | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Charting brain growth and aging at high spatial precision | |
dc.title.alternative | ENEngelskEnglishCharting brain growth and aging at high spatial precision | |
dc.type | Journal article | |
dc.creator.author | Rutherford, Saige | |
dc.creator.author | Fraza, Charlotte | |
dc.creator.author | Dinga, Richard | |
dc.creator.author | Kia, Seyed Mostafa | |
dc.creator.author | Wolfers, Thomas | |
dc.creator.author | Zabihi, Mariam | |
dc.creator.author | Berthet, Pierre Guillaume Raphael | |
dc.creator.author | Worker, Amanda | |
dc.creator.author | Verdi, Serena | |
dc.creator.author | Andrews, Derek | |
dc.creator.author | Han, Laura K. M. | |
dc.creator.author | Bayer, Johanna M. M. | |
dc.creator.author | Dazzan, Paola | |
dc.creator.author | McGuire, Phillip | |
dc.creator.author | Mocking, Roel T. | |
dc.creator.author | Schene, Aart | |
dc.creator.author | Sripada, Chandra | |
dc.creator.author | Tso, Ivy F. | |
dc.creator.author | Duval, Elizabeth R. | |
dc.creator.author | Chang, Soo-Eun | |
dc.creator.author | Penninx, Brenda W. J. H. | |
dc.creator.author | Heitzeg, Mary M. | |
dc.creator.author | Burt, S. Alexandra | |
dc.creator.author | Hyde, Luke W. | |
dc.creator.author | Amaral, David | |
dc.creator.author | Nordahl, Christine Wu | |
dc.creator.author | Andreasssen, Ole A. | |
dc.creator.author | Westlye, Lars Tjelta | |
dc.creator.author | Zahn, Roland | |
dc.creator.author | Ruhe, Henricus G. | |
dc.creator.author | Beckmann, Christian | |
dc.creator.author | Marquand, Andre F. | |
cristin.unitcode | 185,17,5,0 | |
cristin.unitname | Psykologisk institutt | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |
dc.identifier.cristin | 2025866 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=eLIFE&rft.volume=11&rft.spage=&rft.date=2022 | |
dc.identifier.jtitle | eLIFE | |
dc.identifier.volume | 11 | |
dc.identifier.pagecount | 0 | |
dc.identifier.doi | https://doi.org/10.7554/ELIFE.72904 | |
dc.identifier.urn | URN:NBN:no-97340 | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 2050-084X | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/94819/1/Charting%2Bbrain%2Bgrowth%2Band%2Baging%2Bat%2Bhigh%2Bspatial%2Bprecision.pdf | |
dc.type.version | PublishedVersion | |
cristin.articleid | e72904 | |