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. 2020 Dec 8;10:21463. doi: 10.1038/s41598-020-78579-6

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© The Author(s) 2020

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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Sagittal (a) and axial (b) views of the ROIs shown on the MNI-T1 template. The DMN ROI is shown in blue and the EMN ROI in red. The ROIs were used for the time-series extraction shown in (c): The tasks alternated randomly between mental rotation (marked with the symbol I), working memory (marked with the symbol Ɨ) and mental arithmetic (marked with the symbol ǂ). Signal change is shown as percentage of total signal change and keeping in line with the colour coding for the ROIs as in panels (a) and (b). Onsets and offsets of the task and rest periods are shown on the x-axis as ON and OFF respectively with OFF-blocks also being marked in grey. The black intermittent line in panel (c) shows the Pearson correlation coefficients continuously calculated on the mean of a 17 s sliding-window through the whole session.