Table 2. Brain network graph measures in acute mTBI patients and healthy controls.

Graph measures	mTBI (n=71)	HC (n=57)	P value	Cohen’s d
Functional network
Gamma	0.75±0.14	0.34±0.01	<0.001*	4.076
Lambda	0.49±0.01	0.49±0.02	0.14	−0.257
Sigma	0.68±0.13	0.65±0.13	0.19	0.231
Cp	0.27±0.01	0.27±0.01	0.42	0.160
Lp	0.86±0.07	0.87±0.07	0.59	−0.091
Eg	0.26±0.01	0.25±0.01	0.75	0.095
Eloc	0.34±0.01	0.34±0.01	0.35	0.235
Structural network
Gamma	1.57±0.28	1.48±0.14	0.03*	0.390
Lambda	0.50±0.01	0.50±0.01	0.14	0.248
Sigma	1.41±0.22	1.34±0.11	0.03*	0.395
Cp	0.19±0.01	0.19±0.01	0.11	−0.266
Lp	1.07±0.06	1.06±0.39	0.10	0.053
Eg	0.19±0.01	0.19±0.01	0.13	−0.232
Eloc	0.28±0.01	0.29±0.01	0.09	−0.300
Functional-structural coupling
Coupling	0.22±0.04	0.20±0.03	0.02*	0.415

Data are presented as mean ± standard deviation. The AUC across the full range of sparsity thresholds was calculated for graph measures of functional and structural network. * denotes significant difference compared to HC, Bonferroni-corrected P<0.05. mTBI, mild traumatic brain injury; HC, healthy controls; Cp, clustering coefficient; Lp, characteristic path length; Eg, global efficiency; Eloc, local efficiency; AUC, area under the curve.