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. 2024 Sep 10;7:1111. doi: 10.1038/s42003-024-06757-7

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

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Fig. 2 — A When using incidental encoding participants have a higher SoA in SYNCH1PP compared to the two other conditions. Plot of average SoA per (dots) and across (bar) participants, N = 50. B During incidental encoding there is no difference in recognition performance between conditions, N = 48. C During intentional encoding participants have a higher SoA in SYNCH1PP compared to ASYNCH3PP, N = 25. D During intentional encoding, participants better recognized the scenes in SYNCH1PP compared to the other conditions, N = 24. a.u = arbitrary unit. SoA = Sense of Agency. ** indicates significance level with p value < 0.01 as tested with a linear mixed model using SoA as a dependent variable and conditions as fixed factor. Error bars represent the standard error of the mean.