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. 2021 Sep 24;11:19025. doi: 10.1038/s41598-021-98046-0

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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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Correlation of the nodal EC with the SIR model for all patients. The EC was calculated for each of the 92 nodes in the structural network. For the SIR model, each node was activated separately at the start (only one seed) and the number of active nodes at time 10 (I_t=10) was averaged over 10,000 runs. The correlation was measured independently for each patient (thin coloured lines); on average the Pearson’s correlation coefficient was 0.95 ± 0.02. When considering all data points together, the correlation decreased to 0.88 but was still strong.