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. 2021 Jan 6;9:2. doi: 10.1186/s40478-020-01098-y

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Correlation of diffusion and functional MRI with Open Field behavioural measures. Simple linear regression analysis of Parallel Diffusivity (Dp) (a–c), Orientation Dispersion Index (ODI) (d–f), and Kendall’s Coefficient of Concordance (KCC) from seven voxels neighbourhood Regional Homogeneity analysis of resting-state functional MRI (g–i), quantified from different regions of interest, the corpus callosum (cc—a, d), polymodal association area of the Thalamus (TH-pmc—b, e), Anterior Cingulate Area (ACA—c, f), Caudate Putamen (CPu—g), Amygdala (AM—h), and Insula (INS—I) with Thigmotaxis Index (TI). Regression analysis were performed across sham and CON day 2 cohorts combined (blue lines) or CON day 7 and CON day 14 combined (orange line). Regression lines displayed as mean and 95% confidence intervals slopes. ns = not significant, *p value < 0.05, **p value < 0.01