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. 2023 Apr 10;13:5830. doi: 10.1038/s41598-023-32980-z

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© The Author(s) 2023

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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(A) Lateralization of the beta coefficients. The median beta coefficient of right lateralized sensors was subtracted from the median beta coefficient of the left lateralized sensors. Boxplots represent the median and dispersion across participants. Asterisk indicates that the mean significantly deviates from zero (p < 0.001). (B) Lateralization of residual planar gradients: residuals from sensors on the left side of the helmet minus the residuals from sensors on the right side. Line represents the median; shaded area represents the interquartile range across participants.