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. 2022 Mar 29;12:5340. doi: 10.1038/s41598-022-08767-z

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© The Author(s) 2022

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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Spatial topographies of HMM transient states computed over pre- and post-learning RS sessions. Red/blue scales indicate positive/negative correlation values between the envelope and the state activation/inactivation time course (i.e., increased/decreased power during one state visit). For visualization purpose, the maps are thresholded between 60 and 100% of the maximum absolute of the partial correlation values. The maps were obtained using MATLAB R2016a, The MathWorks, Inc, https://www.mathworks.com/ and MRIcrone version 1.0.20190902, 2019, Chris Rorden, https://www.nitrc.org.