Table 4.

Hierarchical regression results

Block	F-stat	Block DF	Block Residual	R^2	Change in R^2	P-value
1	4.15	18	692	0.0884		0
2	2.05	14	678	0.1265	0.0383	0.0125
3	3.56	8	670	0.1614	0.0349	0.0005
4	1.17	8	662	0.1730	0.0116	0.3164

To examine the incremental contribution of additional regions of interest, we performed a hierarchical regression analysis with four sequential levels: confound terms [Block 1; see equation (1)]; value terms [Block 2; see equation (2)]; functional connectivity terms [Block 3; see equation (3)]; interaction terms [Block 4; see equation (4)]. Our analysis indicated that activation estimates derived from regions functionally connected to posterior VMPFC explained unique variance in trial-to-trial image ratings, over and beyond what was observed from activation estimates in regions modulated by value alone.