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. 2019 Aug 8;9:11536. doi: 10.1038/s41598-019-47277-3

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© The Author(s) 2019

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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Correlations between the brain connectivity variables and brain canonical variate (brain scores of all subjects) of the first CCA mode in sagittal (left and right) and axial view (middle). (a) Top 20 most positively and top 20 most negatively correlated brain connections. The thickness of the edges is proportional to the absolute correlation (red for positive correlations and blue for negative correlations). (b) Top 20 most positively and top 20 most negatively correlated brain connections summarized by nodes. Node size is proportional to the mean absolute correlation. Nodes are colour coded by resting state networks assigning each node to one of the 7 cortical networks (based on the maximal surface based overlap) described in Yeo et al.⁴⁴ or the subcortex. The list of correlation values and respective labels can be found in Supplementary Table S2.