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. 2023 Jun 19;26(7):1281–1294. doi: 10.1038/s41593-023-01351-2

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© The Author(s) 2023

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. 3 — a, There is a strong positive correlation between the principal receptor gradient and the cortical hierarchy (Pearson correlation, r(39) = 0.81 (range 0.64–0.90), P < 0.0001, corrected for spatial autocorrelation and multiple comparisons (Bonferroni)). b, Dendritic tree size is positively correlated with the principal receptor gradient (Pearson correlation r(19) = 0.73 (range: 0.43–0.88), P = 0.005, corrected for spatial autocorrelation and multiple comparisons (Bonferroni)). c, The relationship between the receptor principal receptor gradient and spine count is not significant after correction for spatial autocorrelation and multiple comparisons (Pearson correlation, r(20) = 0.54 (range: 0.15–0.78), P = 0.23, corrected for spatial autocorrelation and multiple comparisons (Bonferroni)).