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. 2018 Sep 20;12:645. doi: 10.3389/fnins.2018.00645

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Copyright © 2018 Eagleman, Vaughn, Drover, Drover, Cohen, Ouellette and MacIver.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Multiscale entropy reveals scale-dependent complexity change after loss of response. (A) Sample Entropy (SampEn) shows a decrease in complexity at short scale factors which monotonically increases until medium scale (r_spearman = 0.45, p < 10^-3) and then decreases toward 0 (r_spearman = -0.31, p < 10^-3). Here, the solid black line represents the mean. (B) At the shortest scale, the difference in SampEn between post-LOR and pre-LOR conditions is not significantly different from chance as measured by the median, but is when measured by mean (p = 0.04, percentile permutation test).