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. 2021 Feb 15;26(9):4944–4957. doi: 10.1038/s41380-021-01022-3

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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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — A Latent brain states S1 and B S2 were characterized by their distinct functional connectivity. C Link-by-link analysis showed that strong connectivity within and between key nodes in SN and FPN in S1 than S2 (p < 0.001, FDR corrected). D Multivariate functional connectivity patterns in S1 accurately predict drift rate (v) of the DDM during the simple choice response task (r = 0.41, p = 0.002).