Table 1.

Summary of multiple linear regression models of the whole uncinate fasciculus predicting individual differences in overall learning (B4 accuracy). To the left is Experiment 1, testing similar face-common name associations; to the right is Experiment 2, testing dissimilar face-uncommon name associations.

	Experiment 1 (Similar faces – Common names)				Experiment 2 (Dissimilar faces – Uncommon names)
Predictor Variables	β	t-value	F	R2	β	t-value	F	R2
			3.60*	0.35			4.92**	0.43
Sex	0.22	1.14			0.07	0.36
Right FA	0.50*	2.57*			0.24	1.33
Left FA	0.30	1.55			0.57**	3.14**
			1.58	0.19			5.41**	0.45
Sex	0.02	0.08			−0.13	−0.69
Right AD	−0.17	−0.69			−0.27	−1.35
Left AD	0.49*	2.15*			0.73**	3.85**
			2.22	0.25			1.51	0.18
Sex	−0.12	−0.61			−0.26	−1.24
Right MD	−0.59*	−2.48*			−0.40	−1.63
Left MD	0.47	1.99			0.43	1.76
			1.52	0.19			0.78	0.11
Sex	0.001	0.003			−0.14	−0.66
Right RD	−0.44	−1.97			−0.16	−0.69
Left RD	0.02	0.08			−0.16	−0.66

^**p < .01,

^*p < .05.

B4: Block 4, FA: fractional anisotropy, AD: axial diffusivity, MD: mean diffusivity, RD: radial diffusivity, β: standardized regression coefficient.