Rutherford, Saige;
Fraza, Charlotte;
Dinga, Richard;
Kia, Seyed Mostafa;
Wolfers, Thomas;
Zabihi, Mariam;
Berthet, Pierre;
... Marquand, Andre F; + view all
(2022)
Charting brain growth and aging at high spatial precision.
eLife
, 11
, Article e72904. 10.7554/eLife.72904.sa2.
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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.
| Type: | Article |
|---|---|
| Title: | Charting brain growth and aging at high spatial precision |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.7554/eLife.72904.sa2 |
| Publisher version: | https://doi.org/10.7554/eLife.72904.sa2 |
| Language: | English |
| Additional information: | Copyright © Rutherford et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Biology, Life Sciences & Biomedicine - Other Topics, normative model, lifespan, growth chart, brain chart, big data, individual prediction, Human, CORTICAL THICKNESS, SUBGENUAL CORTICES, QUALITY-CONTROL, HETEROGENEITY, SEGMENTATION, MATURATION, CHILDHOOD |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10153530 |
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