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. 2021 Jul 21;11:402. doi: 10.1038/s41398-021-01524-2

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — A Correlation between predicted brain age and chronological age in controls (r = 0.73, R² = 0.45, p < 0.0001) and patients (r = 0.72, R² = 0.36, p < 0.0001). Of note, predicted brain age reflects estimates corrected for the offset (brain age_corrected = brain age − brain PAD − mean brain-PAD_controls). B There was a residual effect of age on the brain-PAD outcome in controls (r = −0.32, p = 0.01) and patients (r = −0.37, p < 0.0001), C which was statistically corrected for by adding age as a covariate in all models.