Table 3 –

alERC/pmERC volumes as predictors in multiple regression models for additional ModRey outcome variables. Each row represents an individual multiple regression model, with the specified ModRey outcome measure as the dependent variable, and alERC volume, pmERC volume, age, years of education, gender, and race/ethnicity as predictors. p < 0.05 indicated in bold

	alERC				pmERC
	β	95% CI	t	p	β	95% CI	t	p
Total Learning	0.276	[0.032, 0.520]	2.268	0.027	0.144	[−0.129, 0.416]	1.055	0.296
Total Perseverations	0.086	[−0.157, 0.330]	0.708	0.482	−0.045	[−0.317, 0.227]	−0.329	0.743
Total Intrusions	0.020	[−0.237, 0.278]	0.159	0.874	−0.288	[−0.576, −0.001]	−2.006	0.049
Short-Delay Accuracy	0.341	[0.099, 0.583]	2.818	0.007	0.092	[−0.179, 0.363]	0.680	0.499
Long-Delay Accuracy	0.195	[−0.054, 0.444]	1.567	0.123	0.119	[−0.159, 0.397]	0.856	0.396
Long-Delay Retention	0.046	[−0.211, 0.304]	0.360	0.720	0.085	[−0.203, 0.373]	0.590	0.557
Recognition (Hits)	0.006	−0.257, 0.269]	0.045	0.964	0.122	[−0.172, 0.416]	0.828	0.411
Recognition (False Positives)	−0.259	[−0.510, −0.008]	−2.064	0.044	−0.071	[−0.352, 0.209]	−0.510	0.612
Source Memory	0.159	[−0.103, 0.421]	1.215	0.229	0.122	[−0.171, 0.415]	0.835	0.407