paperKB
coga / coga-kb
Help
Sign in

Chunk #18 — Materials and Methods — Data analysis — Weighted network analysis

Source
Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression.
Embedded
yes

Text

test. To identify MDD related hub nodes, Student's t-test was used to test whether the mean node degree (DN) in MDD subjects differed from that in controls. A strict Bonferroni correction of 2.33×10−5 (0.05/2,145) was imposed on all analyses involving network connections, and of 7.57×10−4 (0.05/66) was applied to all analyses involving hub nodes, to protect against false positive findings. Locations of significant connections and hub nodes were tabulated. Associations between significant edges, hub nodes, and severity of depression (as measured by HamD17 scores) and by age were examined using Pearson correlations. Differences in edge and hub node values by gender were examined using the Kruskal Wallis test. In addition, other tests for statistical significance (e.g., the Kruskal Wallis test p-value and the q-value) were performed and are reported as supplementary data (Table S1).