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. 2021 Jul 21;26(12):7530–7537. doi: 10.1038/s41380-021-01215-w

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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. 3 — a Clustering analysis of correlational data shown in heatmap form. Sex and behavior are displayed on the x-axis with brain region annotation on the y-axis. Clustering was conducted using Euclidean distance and average linkage analysis via the online data visualization tool ClustVis. Heatmap color for individual cells corresponds to the Pearson’s r-value, between 1 and −1, for the relationship between a given brain region and behavior in the juvenile reciprocal social interaction (JRSI) task. Correlational analysis for all data was conducted using SPSS software. b–d Scatterplot representation of correlational analysis between the number of nose-to-anogenital (NAg) bouts and volume of the BNST (MAR (N = 11M, 11F), Ctrl (N = 11M, 11F)). b Basal forebrain (BF) c and nucleus accumbens (NAc) d split by sex in MAR-ASD mice. e Graph displaying the relationship between the number of grooming bouts and volume of the dorsolateral orbital cortex (DLOC) in male MAR-ASD and control mice (MAR (N = 11M), Ctrl (N = 10M)). Trendlines and Pearson’s r-value displayed along with scatterplot values for each graph. * = p < 0.05, ** = p < 0.01, ^ = 0.05 < p < 0.1.