Table 6.

Within-Network Optimality Regression Analyses: Dorsal Attention Network.

		β	Std. Err.	t	p	pcorrected†
Efficiency Factor
Overall model: F(6,840) = 2.52, p = 0.020
	PCL-R	0.101*	0.037	2.75	0.006	0.018
	SUD	−0.111*	0.038	−2.98	0.003	0.009
	Age	0.014	0.036	0.39	0.693	1.000
	Race	0.020	0.038	0.51	0.607	1.000
	IQ	−0.011	0.038	−0.27	0.784	1.000
	TBIs	0.009	0.037	0.25	0.802	1.000
	Constant	0.014	0.036	0.39	0.696	1.000
Vulnerability Factor
Overall model: F(6,840) = 0.83, p = 0.544
	PCL-R	−0.004	0.033	−0.12	0.905	1.000
	SUD	−0.010	0.034	−0.28	0.776	1.000
	Age	0.029	0.033	0.90	0.367	1.000
	Race	−0.063	0.035	−1.82	0.069	0.207
	IQ	−0.029	0.035	−0.83	0.408	1.000
	TBIs	0.029	0.034	0.88	0.377	1.000
	Constant	0.020	0.033	0.62	0.533	1.000
Hubness Factor
Overall model: F(6,840) = 1.96, p = 0.069
	PCL-R	0.056	0.039	1.46	0.146	0.438
	SUD	−0.091	0.039	−2.32	0.020	0.060
	Age	0.044	0.038	1.16	0.248	0.744
	Race	−0.075	0.040	−1.85	0.065	0.195
	IQ	−0.028	0.040	−0.69	0.488	1.000
	TBIs	−0.011	0.039	−0.27	0.788	1.000
	Constant	−0.036	0.038	−0.95	0.343	1.000

^†β-values were corrected for the three comparisons in the dorsal attention network within-network optimality analysis.

^⁎p < 0.05 Bonferroni corrected.