Table 3.

Test-retest reliabilities, ICCs, and AIC values from model-fitting for both behavioral and fMRI data included in final analyses

	Test–retest reliability	ICC^{^a}	AIC value from unconditional growth model^{^b}			Pseudo-R², age term in unconditional model
	Test–retest reliability	ICC^{^a}	Inverse age	Linear age	Quadratic age	Pseudo-R², age term in unconditional model
ROI
SEF	0.475	0.359	−1004.27	−1004.96	−1008.18	0.019
Pre-SMA	0.556	0.382	−1000.41	−998.49	−1000.77	0.072
FEF
Left	0.784	0.383	−1254.19	−1250.68	−1264.20	0.182
Right	0.624	0.273	−1123.06	−1119.10	−1128.13	0.104
Putamen
Left	0.163	0.209	−1214.23	−1214.85	−1217.84	0.000
Right	0.160	0.228	−1258.72	−1258.91	−1260.88	0.039
pPC
Left	0.553	0.406	−1222.03	−1222.46	−1230.78	0.043
Right	0.765	0.355	−1142.69	−1137.84	−1146.84	0.103
dlPFC
Left	0.504	0.169	−1277.61	−1276.11	−1272.42	0.029
Right	0.484	0.428	−1236.27	−1234.63	−1231.18	0.031
vlPFC
Left	0.548	0.170	−1222.83	−1219.95	−1231.04	0.034
Right	0.302	0.291	−1185.97	−1185.16	−1189.69	0.033
dACC
Correct trials	0.693	0.290	−1061.05	−1057.20	−1060.86	0.076
Error trials		0.151	−860.43	−859.24	−860.21	0.070
Behavioral variables
AS percent errors	0.763	0.650	−249.79	−236.37	−245.52	0.202
AS latency (correct)	0.533	0.606	3198.73	3204.29	3201.75	0.140

↵^aAll ICC values were statistically significant (2 SDs of CIs did not overlap with 0).
↵^bLower (more negative) AIC values indicate improved model fit. If AIC indicated the quadratic model fit best, this model was only chosen if the quadratic term was also significant. AIC values for selected models are bolded.