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. 2019 Nov 8;9:16396. doi: 10.1038/s41598-019-52894-z

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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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Network analysis of fecal samples from MS patients and controls, based on 16S rRNA taxonomic representation. Distribution of sub-networks in MS patients (Panel A) and Controls (Panel B), and comparison of node (taxa) connectivity in the microbial networks (Panel C). There was significantly lower connectivity in samples from MS patients than from controls, in two-sided tests of degree (p = 0.02), with borderline differences in betweenness (p = 0.09) network characteristics.