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. 2020 Jun 18;11:51. doi: 10.1186/s13229-020-00353-2

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© The Author(s) 2020

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Relationships of IQ and age with total brain volume (a, b), gray matter volume (c, d), and white matter volume (e, f) in the primary sample, by diagnosis and sex. IQ shows a significant interaction with diagnosis predicting all three outcome measures (b, d, e). Age did not significantly predict TBV (a), negatively predicted GMV (c), and positively predicted WMV (e). Significant main effects of diagnosis and sex were observed in all 3 measures. Dashed lines indicate regions-of-significance, where the effect of diagnosis is not significant within the shaded region