Table 1.

Associations between intelligence and whole-brain aspects of modular organisation.

	r part.	p part.	BF01-Reg.
Whole-brain measures
global modularity	0.03	0.569	3.16
number of modules	0.04	0.531	3.07
average module size	−0.04	0.466	2.86
variability in module size	0.05	0.355	2.50
Whole-brain proportions of node types
ultra-peripheral nodes	0.06	0.318	2.34
peripheral nodes	0.11	0.064	0.76
non-hub connector nodes	−0.03	0.528	3.07
non-hub kinless nodes	−0.04	0.462	2.86
provincial hubs	0.04	0.490	2.96
connector hubs	−0.03	0.586	3.21
kinless hubs	−0.03	0.657	3.35

r _part., Pearson’s correlation coefficient for the partial correlation controlling for effects of age, sex, and handedness; p _part., p-value of significance for the partial-correlation; BF₀₁-Reg., Bayes Factor in favour of the null hypothesis (i.e., absence of correlation) for Bayes linear regression models predicting FSIQ values by the respective whole-brain measure of modular network organisation or whole-brain proportions of node types while controlling for effects of age, sex, and handedness.