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. 2020 Jun 26;10:10485. doi: 10.1038/s41598-020-66967-x

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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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Correlation matrix analysis of the FC on the −0.6 Bregma plan of the rat brain atlas. (a) Plane of interest of the Paxinos rat brain atlas (Bregma −0.6 mm) and corresponding ROIs (S1HL, M1, M2, Cg1, Cg2 left and right for each), with permission from Elsevier. This image is modified from ‘Rat Brain in Stereotaxic Coordinates’. Paxinos &Watson, Academic Press, San Diego 3rd, (1997). (b) Doppler image of the rat brain with the corresponding mask of the rat brain atlas presented in (a). (c,d) Averaged Pearson correlation matrix for each of the 9 rats in the control and arthritic groups. (e) Matrix of significance of the differences between c (control) and d (arthritic) matrices. White squares represent the pairs of ROIs with a significant alteration in FC between the two groups, with corresponding p-values. (f) Boxplot representation of each pair with a significant FC alteration. N = 9 per group. *p < 0.05, **p < 0.01 and ***p < 0.001, Welch’s test, or Mann-Whitney test in case of non-normality after Fisher transformation, followed by Benjamini-Hochberg’s correction for multiple comparisons.