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. 2021 Jan 27;8:32. doi: 10.1038/s41597-021-00821-1

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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 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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Fig. 5 — Preprocessing and data quality. (a) Average response over trials in the picture naming task (session 1 of dataset 1), left: sub-05, right: all participants. (b) Average response over trials in the auditory task of dataset 2, left: sub-10, right: all participants. (c) Sensor layout of the hydrocel geodesic system (256 channels, EGI) with the removed channels (blue and red) when performing preprocessing by Automagic. (d) Quality metrics across all participants and trials in dataset 1 and dataset 2, (top/left): number of interpolated channels per epoch, (top/right): mean absolute voltage per epoch, (bottom/left): percentage of channels for which the standard deviation across time exceeds 15 uV, (bottom/right): percentage of time points where the standard deviation across channels exceeds 15 uV.