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. 2021 Oct 5;227(3):779–791. doi: 10.1007/s00429-021-02394-6

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — Classification diversity and consistency. a Classification diversity and classification consistency for all sessions and conditions. b Classification consistency of node categories derived from task-based analysis (Vestibular = nodes in regions significantly stronger activated by GVS, Joint = nodes in regions conjointly active during GVS and GNS, Other = all remaining nodes). c Classification consistency of node categories derived from NBS analysis (NBS Nodes = 38 nodes from the significant network found in the NBS analysis (using a threshold of T = 3.2, Other = remaining 62 nodes)