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. 2013 Feb 4;8(2):e55347. doi: 10.1371/journal.pone.0055347

Table 1. The effects of age, sex, and IQ on global network properties.

Age effecta Sex effectb Age-sex interactionb IQ effectc
T-score p-value Model T-score p-value Model T-score p-value r p-value
C 1.491 0.142 −1.970 0.055 −0.484 0.630 −0.126 0.380
L 0.365 0.717 −2.295 0.026 F>M −0.106 0.916 −0.100 0.487
NC 2.254 0.029 L+ 0.037 0.971 1.259 0.214 0.064 0.657
NL 0.459 0.648 −2.194 0.033 F>M 0.112 0.911 −0.106 0.458
SW 2.170 0.035 L+ 0.180 0.858 1.230 0.225 0.069 0.630
LE 2.297 0.026 L+ −1.734 0.089 −0.421 0.676 −0.093 0.516
GE −0.355 0.724 2.285 0.027 F<M 0.110 0.913 0.075 0.602
a

Two multiply linear regressions that modeled age and age2 as predictors, along with sex as a covariate; the best model was determined by AIC.

b

A multiply linear regression that modeled age, sex, and age-sex interaction.

c

Pearson's correlation analysis between IQ and global network properties, each of which was regressed by a multiply linear regression that modeled age, sex, and age-sex interaction.

L+: Linear regression model showing significant positive correlation. F>M: female shows significantly higher values than male; F<M: female shows significantly lower values than male. Significances are set at p<0.05 and shown by bold characters.

C, clustering coefficient; L, characteristic path length; NC, normalized clustering coefficient; NL, normalized characteristic path length; SW, small-worldness; LE, local efficiency; GE, global efficiency.