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. 2019 Dec 4;9:18305. doi: 10.1038/s41598-019-54706-w

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© The Author(s) 2019

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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Prediction of MEP amplitudes based on beta event metrics. K-fold (k = 10) cross-validation was performed to evaluate the ability of different beta event metrics (including event number (A), amplitude (B), timing (C), as well as mean beta power (D,E)) to predict MEP amplitudes. Event duration is not shown due to lack of significant association between event duration and MEP amplitudes (see Table 1). Actual MEP amplitudes (y-axis) are plotted against predicted MEP amplitudes (x-axis). All plotted data were obtained using the 75^th percentile threshold. For all metrics, cross-validated rho values and normalized RMSE values indicated moderate predictive performance (rho values = 0.61–0.62, normalized RMSE = 0.13).