Table 5.

Using conventionally defined resting-state networks to predict d’ scores.

	Network model			Performance compared to whole-brain model
Network	Spearman’s rho	RMSE	P-value	Steiger’s z	P-value
Medial frontal	−0.31	0.92	0.99	4.70	0.0001
Frontoparietal	0.14	0.88	0.31	2.96	0.003
Default mode	−0.05	0.90	0.63	3.78	0.0001
Motor	−0.11	0.92	0.77	3.90	0.0001
Visual I	−0.22	0.92	0.99	4.56	0.0001
Visual II	−0.09	0.91	0.72	3.99	0.0001
Visual association	−0.36	0.92	0.99	4.98	0.0001
Cingulo-opercular	−0.35	0.92	0.99	5.40	0.0001
Subcortical	−0.29	0.92	0.99	4.61	0.0001
Cerebellum	0.35	0.84	0.23	1.92	0.055

The median-performing model after 1,000 iterations is shown. P-values for the network model were obtained from permutation testing. Steiger’s z is reported for each lesioned model, compared to the original whole-brain model reported in Fig. 2A.