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. 2018 Feb 21;8:3417. doi: 10.1038/s41598-018-21730-1

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© The Author(s) 2018

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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Extended analysis of the critical behavior for the recordings shown in Figs 3 and 4. All rows show the same line of analysis for different critical exponents and recordings. First column: PDF of events (size or normalized duration). Second column: Estimation of the critical exponent for different lower (X_low) and higher (X_high) cut-off values using the bin size closest to the ISI. Third column: Associated p-values. Red areas suggest plausibility of scale-free hypothesis. Forth column: Dependence of critical exponents (the upper lines with errorbar) and p-values (the lower lines without errorbar) on the selected interval once we have fixed one side of the interval (for control and folate X_low and X_high are fixed, respectively). Robust estimates of the exponents are characterized by high p-values and an extended regime over which their estimated value does not change significantly. We find: τ_control = 1.65 ± 0.1, τ_folate = 2.2 ± 0.2, α_control = 2.15 ± 0.2, and α_folate = 3.3 ± 0.4 (for the full list of critical exponents over different recordings see Fig. 5).