Table 3.

Summary of multiple linear regression models of the uncinate fasciculus sub-tract 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
			5.12**	0.43			7.71**	0.54
Sex	−0.05	−0.26			−0.31	−1.87
Right FA	0.03	0.13			−0.32	−1.46
Left FA	0.64*	2.79*			0.88**	4.24**
			0.80	0.11			0.68	0.09
Sex	0.12	0.51			−0.09	−0.38
Right AD	−0.19	−0.82			0.06	0.25
Left AD	0.38	1.52			0.23	0.92
			2.49	0.27			3.33*	0.33
Sex	−0.16	−0.74			−0.40	−2.01
Right MD	−0.03	−0.12			0.30	1.38
Left MD	−0.52	−2.28			−0.66**	−2.99**
			4.32*	0.39			5.44**	0.45
Sex	−0.13	−0.69			−0.39	−2.14
Right RD	0.01	0.06			0.35	1.71
Left RD	−0.64*	−3.00*			−0.78**	−3.84**

^**p < .01,

^*p < .05 (after controlling for multiple comparisons).

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