Table 4.

Linear regression analysis in CIMS and CPMS patients.

	Model predictors	R	R2	R2 corrected	Significance of GE(CBL-DMN)	Significance of the other variable
CIMS	GE(CBL-DMN), Age	0.87	0.76	0.74	<0.001	0.793
	GE(CBL-DMN), EDSS	0.87	0.76	0.74	<0.001	0.851
	GE(CBL-DMN), Disease duration	0.87	0.76	0.74	<0.001	0.931
	GE(CBL-DMN), WM-LL	0.88	0.77	0.74	<0.001	0.630
	GE(CBL-DMN), WM-FA	0.88	0.78	0.75	<0.001	0.326
	GE(CBL-DMN), BPF	0.88	0.78	0.75	<0.001	0.634
	GE(CBL-DMN), NART-predict	0.87	0.76	0.74	<0.001	0.804
	GE(CBL-DMN), HADS-A	0.87	0.76	0.74	<0.001	0.847
	GE(CBL-DMN), HADS-D	0.88	0.78	0.75	<0.001	0.296
CPMS	GE(CBL-DMN), Age	0.57	0.32	0.29	<0.001	0.063
	GE(CBL-DMN), EDSS	0.59	0.34	0.31	0.004	0.025
	GE(CBL-DMN), Disease duration	0.51	0.26	0.23	<0.001	0.867
	GE(CBL-DMN), WM-LL	0.52	0.27	0.23	0.004	0.944
	GE(CBL-DMN), WM-FA	0.51	0.26	0.23	0.009	0.990
	GE(CBL-DMN), BPF	0.61	0.37	0.35	0.087	0.008
	GE(CBL-DMN), NART-predict	0.53	0.28	0.25	<0.001	0.319
	GE(CBL-DMN), HADS-A	0.51	0.26	0.23	<0.001	0.813
	GE(CBL-DMN), HADS-D	0.54	0.29	0.26	<0.001	0.192

Symbol digit modalities test is considered as the dependent variable and GE(CBL-DMN) is tested against each other MRI or clinical variable. The second last column reports the p-values associated with GE(CBL-DMN) within each model and the last column reports the p-value associated with each second predictor. GE(CBL-DMN) holds as the only significant predictor against each other variable in CIMS, while in CPMS EDSS and BPF are also significant predictors of SDMT performance.