Observations on dynamic brain network properties of emotional information processing in patients with depression and sex differences

Table 11 Influencing factors of dynamic brain network indicators

Factors	Non-standardized coefficient		Standardized coefficient	t	P value	Collinearity statistic
	B	SE	β			Tolerance	VIF
HAMD-17	0.017	0.002	0.438	9.117	< 0.001	0.221	4.528
GE	-0.472	0.216	-0.06	-2.185	0.031	0.677	1.477
LE	-0.053	0.231	-0.006	-0.23	0.818	0.712	1.405
CC	-0.252	0.222	-0.028	-1.133	0.260	0.817	1.224
σ	-0.284	0.074	-0.115	-3.832	< 0.001	0.571	1.752
N_mod	-0.007	0.009	-0.019	-0.801	0.425	0.864	1.157
CV_size	0.258	0.114	0.064	2.256	0.026	0.640	1.562
W_in	-0.477	0.196	-0.072	-2.432	0.017	0.588	1.701
W_out	-1.298	0.354	-0.116	-3.664	< 0.001	0.506	1.978
dFCV	0.308	0.239	0.036	1.288	0.201	0.65	1.538
State transition frequency	-0.064	0.022	-0.076	-2.949	0.004	0.766	1.306
State residence time	-0.001	0.002	-0.013	-0.457	0.648	0.624	1.603
DMN internal connectivity	-0.309	0.166	-0.063	-1.861	0.066	0.452	2.214
SN-limbic system connectivity	-0.514	0.177	-0.1	-2.905	0.004	0.428	2.335
ECN hub nodes	0.611	0.156	0.152	3.925	< 0.001	0.338	2.958

HAMD-17: Hamilton Depression Rating Scale-17 items; GE: Global efficiency; LE: Local efficiency; CC: Clustering coefficient; σ: Small-worldness; N_mod: Number of modules; CV_size: Coefficient of variation in module size; W_in: Mean within-module connectivity strength; W_out: Mean inter-module connectivity; dFCV: Dynamic functional connectivity variability; DMN: Default mode network; SN: Salience network; ECN: Executive control network; β: Standardized regression coefficient; VIF: Variance inflation factor.