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

aTwo multiply linear regressions that modeled age and age2 as predictors, along with sex as a covariate; the best model was determined by AIC.bA multiply linear regression that modeled age, sex, and age-sex interaction.cPearson'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; FpC, clustering coefficient; L, characteristic path length; NC, normalized clustering coefficient; NL, normalized characteristic path length; SW, small-worldness; LE, local efficiency; GE, global efficiency.