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. 2022 Dec 19;9:35. doi: 10.1186/s40479-022-00206-9

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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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Relations between the elements of network N2. A Spearman correlation coefficients. B mgm network, estimated via mgm with edges signifying unique associations between nodes. Note: In both figures, the thickness of a line indicates the strength of the connection with blue lines indicating positive associations. Red lines indicate negative associations. The colored part of the circular ring around the nodes represents the predictability of the node by its connected nodes (R2)