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. 2019 Oct 1;199:609–625. doi: 10.1016/j.neuroimage.2019.05.011

Table 3.

Percent of nodes that their weighted graph measures have significantly affected, for xDF vs. Naive and xDF vs. BH (see Fig. 7). This quantifies the dramatic impact of correction method on each graph metric across all parcellation schemes and correction methods. For similar results for other parcellation schemes, see Tables S2–S5.

Comparison Thresholding Weighted Degree Weighted Betweenness Local Efficiency
Naive > xDF PT (CE) 95.61% 63.16% 98.24%
ST (FDR) 95.61% 61.40% 99.12%
BH > xDF PT (CE) 85.08% 1% 95.62%
ST (FDR) 92.98% 1.75% 95.61%