TABLE 2.

Association of strength and variability of complex-network measures with the NCI score and symptom severity in PTSD (PCL5 score) and PCS (NSI score).

Complex network measure	Path (Integration) or node (Segregation)	Symptom severity score		Behavioral measure
				Neurocognitive
		PCL5 score	NSI score	Composite
		(PTSD)	(PCS)	Index (NCI)
Static functional integration measures
Shortest path length	L_MFG → L_Insula	–0.6902	–0.6756	0.6589
	L_Insula → L_Amygdala	0.6822	0.6759	–0.6298
	L_Amyg → R_Hippocampus	0.6535	0.6930	–0.6389
	R_Hippocampus → L_Precuneus	0.6990	0.6580	–0.3545
Edge betweenness	L_MFG → L_Insula	–0.6704	–0.6853	0.5871
	L_Insula → L_Amygdala	0.7370	0.6868	–0.5303
	L_Amyg → R_Hippocampus	0.7080	0.6372	–0.3956
	R_Hippocampus → L_Precuneus	0.7156	0.6669	–0.4193
Variance of dynamic functional integration
Shortest path length	L_MFG → L_Insula	–0.7532	–0.7327	0.6704
	L_Insula → L_Amygdala	–0.7579	–0.7382	0.6748
	L_Amyg → R_Hippocampus	–0.7541	–0.7358	0.6709
	R_Hippocampus → L_Precuneus	–0.8520	–0.7737	0.4579
Edge betweenness	L_MFG → L_Insula	–0.7330	–0.7287	0.6672
	L_Insula → L_Amygdala	–0.7358	–0.7260	0.6586
	L_Amyg → R_Hippocampus	–0.7326	–0.7264	0.6590
	R_Hippocampus → L_Precuneus	–0.8513	–0.7776	0.4619
Static functional segregation measures
Clustering Coefficient	L_MFG	–0.6859	–0.6685	0.6245
Local Efficiency	L_MFG	–0.7013	–0.6990	0.6826
	L_Insula	0.6527	0.6550	–0.6290
Dynamic functional segregation measures
Clustering Coefficient	L_MFG	–0.7478	–0.7271	0.6538
	L_Insula	–0.7412	–0.7204	0.6533
Local Efficiency	L_MFG	–0.7524	–0.7324	0.6692

Table presents the correlation values (R-value), which were significant with p < 0.05 Bonferroni corrected.