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. 2017 Sep 7;7:10879. doi: 10.1038/s41598-017-07846-w

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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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Network analysis of brain connectivity. (a) Inter-modular centrality. Statistical brain maps of group differences for local participation coefficients PC _i in the gamma band. Only significant differences are illustrated (p < 0.05, FDR corrected). The labels same ranks are used as labels. The inset shows the results for the global PC; vertical bars stand for group-averaged values while error bars denote standard error means. In both cases, Z-scores are computed using a non-parametric permutation t-test. b) Inter-frequency centrality. Statistical brain maps of group differences for local multi-participation coefficients MPC _i. The inset shows the results for the global MPC; same conventions as in (a).