Table 3.

Estimated coefficients in a linear regression model with IC pairs and SDMT score.

	Estimated Coefficients
	Estimate	SE	t-stat	p-value
(Intercept)	39.287	6.7822	5.7927	0.00216
x1	8.8104	6.425	1.3713	0.22863
x2	−3.2309	7.0069	−0.4611	0.66409
x3 mid-front	−16.867	3.939	−4.2819	0.007849
x4	−2.3876	5.2513	−0.45466	0.66841
x5	4.301	3.5032	1.2277	0.27419
x6	11.912	5.4428	2.1887	0.080232
x7	−2.1318	3.5704	−0.59709	0.57646
x8	−2.1629	3.2625	−0.66296	0.53669
x9	1.0862	4.5438	0.23906	0.82055
x10 supra	−16.596	5.5399	−2.9957	0.03025
x11	1.4426	6.4013	0.22535	0.83063
x12	−8.9211	5.5025	−1.6213	0.16588
x13	6.2903	4.2199	1.4906	0.19626
x14	−0.61528	8.2131	−0.07492	0.94319
x15	1.3835	8.5216	0.16235	0.87739
x16	0.46253	4.6265	0.099974	0.92425
x17	−1.3255	3.8491	−0.34438	0.74458
x18	3.4215	6.8526	0.49929	0.63876
x19 post-par	22.733	6.8725	3.3078	0.021291

Number of observations: 25, error degrees of freedom: 5.

Root mean squared error: 4.54.

R²: 0.965, adjusted R² 0.831.

F-statistic vs. constant model: 7.2, p value = 0.019.

mid-front, middle frontal gyrus; supra, supramarginal gyrus; post-par, posterior parietal cortex.

The bold values indicate the significance of connectivity pairs in the linear regression model.