Table 1 Associations between intelligence and whole-brain aspects of modular organisation.

From: Intelligence is associated with the modular structure of intrinsic brain networks

 

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

  1. 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.
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