Table 2.

Regression analysis with graph theoretical metrics as predictors for performance in cognitive tests.

		Eglob		Strength		Eloc		Eglob + Eloc
		R2 (%)	p-value	R2 (%)	p-value	R2 (%)	p-value	R2 (%)	p-value
MMSE
DMNi	MD	15.4	0.010	15.6	0.010	16.1	0.008	17.6	0.023
	aD	14.2	0.014	14.6	0.013	15.4	0.010	18.1	0.021
	rD	15.3	0.010	15.7	0.010	16.1	0.008	17.9	0.021
	Volume	ns	ns	ns	ns	22.2	0.002	24.6	0.004
DMNr	MD	13	0.019	13.8	0.015	13.6	0.016	ns	ns
	aD	13.9	0.015	14.9	0.012	15.0	0.011	15.7	0.036
	rD	12.3	0.023	12.8	0.020	12.6	0.021	ns	ns
	Volume	10.2	0.040	11.7	0.026	16.2	0.008	17	0.027
BGN	MD	14.6	0.013	14.9	0.011	14.8	0.012	15.0	0.042
	aD	18.1	0.005	17.5	0.006	14.6	0.013	20.0	0.013
	rD	11.7	0.026	12.6	0.021	14.2	0.014	14.4	0.048
AIN	Volume	ns	ns	ns	ns	9.2	0.05	ns	ns
MEMORY PROSE
DMNi	MD	10.7	0.048	10.8	0.047	10.7	0.048	ns	ns
	rD	10.7	0.048	10.9	0.046	10.8	0.047	ns	ns
	Volume	ns	ns	ns	ns	16.3	0.013	16.9	0.043
DMNr	Volume	ns	ns	ns	ns	11.4	0.041	ns	ns
ROCF-COPY
DMNi	FA	13.2	0.020	13.4	0.018	13.7	0.017	ns	ns
	MD	13.4	0.018	13.4	0.019	13.6	0.018	ns	ns
	aD	13.5	0.020	13.4	0.019	13.5	0.018	ns	ns
	rD	13.2	0.018	12.9	0.021	13.3	0.019	ns	ns
DMNr	FA	ns	ns	ns	ns	ns	ns	16.3	0.034
	MD	ns	ns	10.2	0.042	9.9	0.046	ns	ns
	aD	13.6	0.018	12.8	0.021	9.9	0.045	26.8	0.003
	rD	ns	ns	ns	ns	9.7	0.047	18.7	0.020
BGN	MD	23.1	0.001	21.9	0.002	17.9	0.006	25.5	0.004
	aD	24.1	0.001	23.2	0.001	20	0.003	25.9	0.003
	rD	21.1	0.002	19.9	0.003	15.3	0.011	23.4	0.006
AIN	FA	14.4	0.014	14.4	0.014	14.1	0.016	15.0	0.045

R²-values are expressed as percentage.