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. 2021 May 11;11:9942. doi: 10.1038/s41598-021-88773-9

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© The Author(s) 2021

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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Overlap between the task-based (red) and resting-state-derived (blue) motor-related networks by (A) Yeo et al.²⁸, (B) Smith et al.¹⁷, and (C) Power et al.²⁹. For Power et al.’s graph nodes spheres of 6 mm were added for illustrative purposes. The Venn diagrams on the right illustrate the number of voxels either network as well as the overlap in between these networks comprises. Brain networks were rendered on the individual anatomical template (“ch2better”) provided with MRIcron²⁵. Venn diagrams were created using the Python package Matplotlib-venn.