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. 2022 Dec 27;36(2):172–191. doi: 10.1007/s10548-022-00935-8

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© The Author(s) 2022

Open AccessThis 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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Fig. 12 — Bland–Altman 2D histograms of three different datasets, comparing unthresholded group-level T-statistic maps between multiple processing approaches. Datasets TR2000 (top), TR1000 (middle) and TR600 (bottom) were used for the comparison. Density plots show the relationship between average T-statistic value (horizontal) and difference of T-statistic values (vertical) at corresponding voxels for different pairwise combinations of toolboxes. The difference of T-statistics was always computed in contrast to a preprocessing with fMRIflows using a low-pass filter at 0.2 Hz, while the average T-statistics in horizontal direction investigated the preprocessing with (from left to right) fMRIflows without a low-pass filter, fMRIPrep, FSL and SPM. Distribution plots next to x- and y-axis depict occurrence of a given value in this domain. Color code within the figure indicates the number of voxels at this given overlap, from a few (blue) to many (yellow). Yellow horizontal line at zero indicates no value differences between corresponding voxels. Red dashed line depicts horizontal density average (Color figure online)