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. 2020 Jan 21;10:806. doi: 10.1038/s41598-020-57895-x

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© The Author(s) 2020

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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Workflow diagram. Preprocessing step was performed using the statistical parametric mapping toolbox (SPM8). After preprocessing, the time series extraction of all 116 ROIs of the AAL atlas was carried out using the CONN toolbox. The images shown under “parcellation” demonstrate the division of the initial 116 ROIs into seven merged regions, namely prefrontal, frontal, parietal, occipital, temporal, deep grey matter nuclei and cerebellum. Subsequently, we estimated effective connectivity (EC) strength using Causal Bayesian Networks (CBN) and Time-resolved Partial Directed Coherence (TPDC).