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. 2019 May 24;10:2317. doi: 10.1038/s41467-019-10317-7

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© The Author(s) 2019

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 — Dynamic FC explains larger behavioral variance than static FC in task-performance measures. a Behavioral measures are ordered based on whether dynamic FC explains more variance than static FC. A positive t-statistic T suggests that dynamic FC explains more variance than static FC. Behavioral measures corresponding to task-performance are marked with a green dot and self-reported measures are marked with an orange dot. b No statistically significant difference (p > 0.10: two-tailed t-test) was found in the mean variance explained by static and dynamic FC in self-reported measures. c Measures of performance in task are on average significantly better explained (p = 1.75 × 10⁻³; two-tailed t-test) by dynamic FC. Error bars indicate SD of the estimates