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. 2022 Nov 12;12:19431. doi: 10.1038/s41598-022-21801-4

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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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Functional profiles obtained with network-based segregation queries that identify the most probable topic associations in studies reporting activations within one network but not reporting activations within any of the other networks. A 95% confidence interval is depicted, across 1000 random 50% sub-samples of the Neurosynth database³. The three networks are depicted in the bottom panel of the figure.