Table 3. .

Contribution of written and spoken language production measures to explaining FA in the CTC tracts

Predictor	B	SE	β	t	p	VIF
Left CTC
(Constant)	0.435	0.025	–	17.410	<0.001	–
Spelling	0.081	0.029	0.322	2.789	0.007**	1.001
RAN	−0.005	0.002	−0.260	−2.245	0.028*	1.001
Overall regression: R2 = 0.18, F(2, 62) = 6.6, p = 0.002
Right CTC
(Constant)	0.475	0.029	–	16.519	<0.001	–
Spelling	0.085	0.036	0.305	2.356	0.022*	1.008
RAN	−0.006	0.003	−0.274	−2.129	0.039*	1.008
Overall regression: R2 = 0.15, F(2, 51) = 4.6, p = 0.014

Note. Multiple regression models predicting cluster-FA in the left and right CTC from spelling accuracy scores and RAN scores. Cluster-FA refers to the mean FA across nodes 3–9 (see Figure 5). RAN scores are the average scaled scores of RAN Letters and RAN Digits. FA = fractional anisotropy, CTC = cerebello-thalamo-cortical tract, RAN = rapid automatized naming, B = unstandardized coefficient, SE = standard error, β = standardized coefficient, VIF = variance inflation factor.

^*p < 0.05.

^**p < 0.01.