Mutual Information Better Quantifies Brain Network Architecture in Children with Epilepsy

Table 2

Comparison between Pearson and mutual information graph metrics.

	Pearson graph	Mutual information graph	value	r (95% CI)
	Mean ± SD	Mean ± SD
Clustering coefficient	0.26 ± 0.17	0.10 ± 0.08	<0.001	0.88 (0.74, 0.95)
Modularity	0.10 ± 0.04	0.11 ± 0.03	0.246	0.86 (0.68, 0.93)
Path length	3.57 ± 1.14	9.47 ± 3.45	<0.001	0.88 (0.73, 0.94)
Global efficiency	0.35 ± 0.14	0.15 ± 0.08	<0.001	0.84 (0.65, 0.93)

values were adjusted for multiple comparison by the Bonferroni method. SD: standard deviation; r: correlation coefficient between Pearson and mutual information graph metrics; CI: confidence interval.