All statistical analyses were performed in SPSS (version 22, Chicago, IL). For demographic and neuropsychological testing, a one-way analysis of variance (ANOVA) test was used to compare among groups. Post-hoc tests with Bonferroni correction were performed after observing statistical differences among the three groups. An χ2 test was used to compare sex variables. Instead of using single threshold metrics, we calculated the area under the curve (AUC) of each metric above to summarize the topological characteristic of the structural brain network. The group differences in AUC values of global network metrics (Cp, Lp, Eglob, and Eloc) and nodal properties (nodal efficiency and nodal betweenness centrality) were investigated with one-way ANOVA, while age and gender were adjusted as potential confounders. Metrics showing the main effect of group differences in the ANOVA model were further evaluated by post-hoc tests. A significance threshold of P < 0.05 was applied to each test, and the false discovery rate (FDR)-correction was applied for multiple comparison corrections. In addition, to explore the relationships between the topological properties of the network measures and clinical outcomes in cognitive function, we further performed Spearman's correlation between the topological properties and cognitive test scores in the T2DM-MCI patient groups. P < 0.05 was considered statistically significant.

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