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. 2023 Mar 8;23(3):788–808. doi: 10.3758/s13415-022-01060-6

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© The Author(s) 2023

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. 5 — Network plot for bivariate associations between age, behavioral and neural markers of decision-making under uncertainty, and covariates. Note: Variables were visually grouped by measure. Edge thickness is indicative of the strength of Pearson correlation coefficients for associations between two variables, with solid (dotted) edges representing positive (negative) associations. We plotted correlations with absolute coefficients of r_Pearson ≥ 0.15