Table 2.

Association between EDSS and DTI, NODDI and SMT metrics as obtained from linear regression models.

		DTI metrics				NODDI metrics			SMT metrics
		FA	AD	MD	RD	viso	ODI	vin	D	ODE	vin
NAWM	Coefficient	−0.33 (0.15)	0.35 (0.15)	0.35 (0.14)	0.35 (0.14)	0.25 (0.15)	0.10 (0.15)	−0.34 (0.15)	0.13 (0.16)	−0.28 (0.15)	−0.22 (0.16)
	p-value	0.027*	0.020*	0.016*	0.018*	0.105	0.532	0.025*	0.431	0.065	0.170
WM lesions	Coefficient	−0.47 (0.15)	0.25 (0.15)	0.36 (0.15)	0.41 (0.15)	0.16 (0.16)	0.09 (0.15)	−0.37 (0.15)	−0.03 (0.16)	0.38 (0.15)	−0.31 (0.15)
	p-value	0.003*	0.100	0.020*	0.010*	0.313	0.546	0.018*	0.828	0.016*	0.043*

The table reports the estimate, standard error (in brackets) and p-values of the coefficient β₁ in the model edss = β₀+ β₁m+ β₂age+ β₃gender controlling for age and gender, with m being the generic MRI metric of interest. The models were fitted to the normal-appearing white matter (NAWM) mean values of the MRI metrics, as well as to the white matter (WM) lesion mean values. p < 0.05 is flagged by an asterisk (^*). The table reports coefficients β₁as standardised, implying that they are comparable across different MRI metrics.