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. 2021 Nov 8;11:571. doi: 10.1038/s41398-021-01704-0

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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. 2 — We applied multivariate predictive models to 5937 subjects at 19 sites to identify brain-wide connectivity patterns that are associated with general cognitive ability (GCA). (Upper Left Panel) In leave-one-site-out cross-validation, functional connectivity patterns associated with GCA generalized to 19 out of 19 held-out sites. (Upper Right Panel) The overall mean correlation between observed GCA scores and predicted GCA scores (predicted exclusively from brain connectivity patterns) was 0.42, p_PERM < 0.0001 (observed correlation was higher than all 10,000 correlations in the permutation distribution). (Lower Panel) Scatter plots for the six largest held-out sites (blue, orange, green, purple, brown, and pink) show highly consistent performance at individual sites.