Table 1. Dynamic Causal Modeling.

Of the seven sets of models initially tested, four yielded positive evidence of a causal relationship between two regions. Group average Bayes Factors for the comparison between the optimal model in each set and the three alternative models are given in the left four columns. Parameter estimates for the optimal model, averaged across all subjects are given in the middle, and contrasts between levels of modulation are shown on the right. An asterisk indicates significance at the .05 level. Complete results are included in supplementary material.

				Average Parameter Estimates
						Modulators				Contrast of Modulators
Selected Model	Alternative Models			Input Wt.	Conn. Wt	High RM	Low RM	High EL	Low EL	HRM-LRM t(1,23)	HEL-LEL t(1,23)
→ACC→VStr	→ACC↔VStr	ACC←VStr←	ACC↔VStr←
Avg. BF	69.92	60.19	727.94	0.114**	0.249**	−0.0833	−0.0835	−0.038	−0.129	−0.006	2.08*
→ACC→PH	→ACC↔PH	ACC←PH←	ACC↔PH←
Avg. BF	78.23	9.27	390.47	0.11**	−0.051	−0.0725	−0.0434	−0.008	−0.108	−0.789	2.06†
→ACC→IFG	→ACC↔IFG	ACC←IFG←	ACC↔IFG←
Avg. BF	67.56	2.35	64.27	0.119**	−0.197*	−0.011	−0.006	0.039	−0.056	−0.102	1.36

^**p<0.01

^*p<0.05

^†p<0.1