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. 2020 Jun 4;10:9121. doi: 10.1038/s41598-020-65948-4

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© The Author(s) 2020

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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Effects of injury severity on global network measures. Comparison of global network measures among subjects with mTBI (n = 12), msTBI (n = 10) and healthy controls (n = 22) using ANOVA showed a significant difference between groups in strength (p = 0.01), global efficiency (p = 0.012) and clustering coefficient (p = 0.006), with more severe injury associated with a greater decline in network measures. Values are mean ± SD. CPL, Characteristic path length; mTBI, mild traumatic brain injury; msTBI, moderate-severe traumatic brain injury.