Table 2. Statistics of the BOLD response differences between conditions.

Effect size is expressed as Cohen’s d. Statistical significance was evaluated with two-tailed Ranksum tests between the distributions of the mean response in each ROI across subjects ($N=19$). All p-values in the table are Holm-Bonferroni corrected for $4\times 8=32$ comparisons.

	IC-L
	dev4		dev5		dev6
std0	$d=-1.04$	$p=0.046$	$d=-0.36$	$p=1$	$d=1.21$	$p=0.025$
std2			$d=-2.97$	$p=8.6\times {10}^6$	$d=-0.02$	$p=0.95$
dev4			$d=-1.05$	$p=0.038$	$d=-2.45$	$p=5.5\times {10}^5$
dev5					$d=-1.90$	$p=0.00043$
	IC-R
	dev4		dev5		dev6
std0	$d=-1.07$	$p=0.028$	$d=-0.50$	$p=0.9$	$d=0.93$	$p=0.061$
std2			$d=-1.88$	$p=0.00044$	$d=-0.16$	$p=1$
dev4			$d=-0.69$	$p=0.18$	$d=-1.87$	$p=0.001$
dev5					$d=-1.44$	$p=0.0053$
	MGB-L
	dev4		dev5		dev6
std0	$d=-1.46$	$p=0.0024$	$d=-0.55$	$p=1$	$d=1.38$	$p=0.017$
std2			$d=-3.78$	$p=7.6\times {10}^6$	$d=-0.48$	$p=1$
dev4			$d=-1.15$	$p=0.016$	$d=-2.52$	$p=2.8\times {10}^5$
dev5					$d=-1.93$	$p=0.00035$
	MGB-R
	dev4		dev5		dev6
std0	$d=-1.15$	$p=0.024$	$d=-0.04$	$p=1$	$d=1.47$	$p=0.0063$
std2			$d=-2.57$	$p=5.6\times {10}^5$	$d=-0.17$	$p=1$
dev4			$d=-1.26$	$p=0.014$	$d=-2.44$	$p=6.1\times {10}^5$
dev5					$d=-1.67$	$p=0.0026$