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. 2019 Oct 30;10:4937. doi: 10.1038/s41467-019-12915-x

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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 — Brain areas with the highest nodal measures appearing consistently across the participants, using lower resolution connectivity matrices ( $116 \times 116$ ) generated using the AAL atlas and MGH-USC DSI datasets. The top 25% nodes are shown for curvature (a), strength (b), and betweenness centrality (c). Here, the largest spheres indicate nodes with high values in 18 out of the 33 subjects