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. 2018 Aug 29;8:12997. doi: 10.1038/s41598-018-31202-1

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© The Author(s) 2018

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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Measuring community structure vector similarity/distances. (a) Regression of age versus vector measurements using the static community structure measured on subject-level data. Bootstrapped 95% confidence interval of trend shaded in grey. (b) Regression of age versus vector distance adjusted for covariates. The trends do not change with the adjustment for covariates. (c) Regression of age versus vector measurements of individually fit community structure to the consensus partitions. (d) Maps displaying across subject nodal versatility for WSBM and modular fit partitions. (e) Map of versatility differences between the two methods. In the difference map, only nodes with statistically significant differences are colored.