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The ongoing research interest in brain\u2010age has highlighted the need for robust and publicly available brain\u2010age models pre\u2010trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain\u2010age model. Here we expand this work to develop, empirically validate, and disseminate a pre\u2010trained brain\u2010age model to cover most of the human lifespan. To achieve this, we selected the best\u2010performing model after systematically examining the impact of seven site harmonization strategies, age range, and sample size on brain\u2010age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5\u201390\u2009years; 53.59% female). The pre\u2010trained models were tested for cross\u2010dataset generalizability in an independent sample comprising 2101 healthy individuals (age range: 8\u201380\u2009years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9\u201325\u2009years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age\u2010bins (5\u201340 and 40\u201390\u2009years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain\u2010age prediction plateaued at a sample size exceeding 1600 participants. These findings have been incorporated into CentileBrain (\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/centilebrain.org\/#\/brainAGE2\">https:\/\/centilebrain.org\/#\/brainAGE2<\/jats:ext-link>\n                    ), an open\u2010science, web\u2010based platform for individualized neuroimaging metrics.\n                  <\/jats:p>","DOI":"10.1002\/hbm.26768","type":"journal-article","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T09:45:32Z","timestamp":1719827132000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Brain\u2010age prediction: Systematic evaluation of site effects, and sample age range and size"],"prefix":"10.1002","volume":"45","author":[{"given":"Yuetong","family":"Yu","sequence":"first","affiliation":[{"name":"Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry University of British Columbia  Vancouver 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