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. 2017 Oct 12;8:874. doi: 10.1038/s41467-017-00908-7

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© The Author(s) 2017

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. 2 — Age-related variation in cortical thickness and cortical surface area. Using the best-fitting regression models described in Table 2, we calculated the predicted values by age for total mean cortical thickness (a), left hemispheric cortical thickness (b), right hemispheric cortical thickness (c), total cortical surface area (d), left hemispheric cortical surface area (e), and right hemispheric cortical surface area (f) in the unweighted (blue lines) and weighed (red lines) samples. LH left hemisphere, RH right hemisphere

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