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. 2021 Jul 28;11:15400. doi: 10.1038/s41598-021-94825-x

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© The Author(s) 2021

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 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/.

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Inter-subjects variability. (a) Coefficients of variation matrix for HC, (b) coefficients of variation matrix for SCZ, and (c) density of the distribution of the pairwise coefficients of variation for HC (blue) and SCZ (red). The coefficient of variation was calculated as the standard deviation ratio to the mean across subjects of the correlation values between each pair of brain areas. Data were fitted to a log-normal distribution with mean μ and variance σ². The curve fitting results are reported for both HC and SCZ with the errors of the fitting procedure. According to a Mann–Whitney–Wilcoxon test, the two distributions resulted significantly different (Z = 57, p < 0.001).