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. 2017 Nov 1;8:1252. doi: 10.1038/s41467-017-01254-4

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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. 5 — Brain networks show near-optimal control but finite synchronizability. The original brain networks (blue) and final evolved networks (orange) show overlap between their controllability values (first and second plots), however there is no overlap between the synchronizability values of these two groups (third plot)—suggesting that brain networks display near optimal control but retain a finite level of synchronizability