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. 2023 Jul 7;14:1175007. doi: 10.3389/fneur.2023.1175007

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Copyright © 2023 Zhang, Chen, Zhao, Duan, Zhong and Liu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Gene co-expression network analysis (WGCNA) and key modules identification. (A) Sample clustering dendrogram and trait heatmap of cohorts in GSE134697 to remove outliers. (B) Analysis of the scale-free fit index (left) and the mean connectivity (right) for various soft-thresholding powers. (C) Clustering dendrogram of all genes based on similar expression patterns, with assigned module colors. (D) The correlation between different modules and clinical traits. (E) Scatterplot of Gene Significance (GS) and Module Membership (MM) in MEindianred4.