Table 2.

Hierarchical regressions for clinical insight predicting default mode network (DMN) and fronto-parietal network (FPN) connectivity.

Predictor	β	t	p	ΔR2	F(model)	p(model)
Analysis 1: DMN Connectivity (PCC/Precuneus – vmPFC)
Step 1				.016	.554	.462
FD	.128	.744	.462
Step 2				.399	11.38	.000
FD	.166	1.23	.229
Impaired Clinical Insight*	.633	4.68	.000
Analysis 2: FPN Connectivity (Right dlPFC – IPL)
Step 1				.000	.002	.962
FD	−.008	−.047	.962
Step 2				.033	.552	.581
FD	−.019	−.110	.913
Impaired Clinical Insight	−.183	−1.05	.302
Analysis 3: DMN – FPN Connectivity (PCC/Precuneus – dlPFC)
Step 1				.107	3.95	.055
FD	.327	1.99	.055
Step 2				.073	3.50	.042
FD*	.343	2.13	.040
Impaired Clinical Insight	.270	1.68	.102
Analysis 4: Primary Visual Cortex – DMN Connectivity (Primary Visual Cortex – PCC/Precuneus)
Step 1				.170	6.77	.014
FD	.412	2.60	.014
Step 2				.004	3.37	.047
FD*	.409	2.54	.016
Impaired Clinical Insight	−.063	−.390	.699
Analysis 5: DMN Connectivity Controlling for Symptom Severity
Step 1				.016	.554	.462
FD	.128	.744	.462
Step 2				.122	1.66	.196
FD	.076	.452	.654
Positive Symptoms	.173	.840	.407
Disorganized Symptoms	.223	1.08	.288
Step 3				.285	5.50	.002
FD	.186	1.30	.203
Positive Symptoms	−.087	−.473	.639
Disorganized Symptoms	−.038	−.205	.839
Impaired Clinical Insight*	.705	3.85	.001

Note, FD, framewise displacement; PCC, posterior cingulate cortex; vmPFC, ventromedial prefrontal cortex; IPL, inferior parietal lobule

^*Predictor variable significantly predicts outcome variable