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. 2022 Jun 30;5:601. doi: 10.1038/s42003-022-03519-1

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© The Author(s) 2022

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. 2 — a, b Multisensory facilitation was quantified by the difference between the CDFs of the multisensory condition and the independent race model. Positive deviations reflect the proportion of multisensory RTs that were faster than predicted by the race model. Gray shaded regions indicate significant positive deviations (p < 0.05, right-tailed permutation tests, t_max corrected). Coloured error bounds indicate 95% CIs (bootstrapped). c Root mean squared error (left panel) and RIN-transformed Pearson correlation coefficient (right panel) between the difference functions for NT and ASD participants of different ages (range: 6–21 years, increment: 2.5 years). Red lines indicate the minimum (left panel) and maximum (right panel) values of each row (i.e., the NT groups that were most similar to each ASD group). Divergence of the red line above the dotted midline indicates a potential delay in age-related changes in ASD.