Table 1.

MDMR results (PseudoF, PseudoR ², and P value) for the full set of independent variables [Model 1. Eight predictors: brain volume, age, fluid reasoning (Gf), crystallized ability (Gc), and spatial ability (Gv), working memory capacity (WMC), attention control (ATT), and processing speed (PS)] and only for the significant predictors in Model 1 [Model 2. Three significant predictors (Gf, Gc, and Gv) when the whole‐brain connectivity profiles were set as dependent variable; and five predictors (brain volume, age, Gf, Gc, and Gv) when the reduced connectivity profiles were set as dependent variable]

Predictor	Whole‐brain profile			Reduced profile
	PseudoF	PseudoR 2	P value	PseudoF	PseudoR 2	P value
Model 1
Brain volume	1.5958	0.0169	0.092	7.1730	0.0652	0.001b
Age	1.0712	0.0113	0.316	2.0409	0.0185	0.040a
Gf	2.5394	0.0269	0.014a	7.5708	0.0689	0.001b
Gc	3.0281	0.0321	0.005b	7.6015	0.0691	0.001b
Gv	2.0812	0.0220	0.025a	5.4767	0.0498	0.001b
WMC	0.6423	0.0068	0.869	1.2468	0.0113	0.271
ATT	0.5480	0.0058	0.962	1.5776	0.01434	0.130
PS	0.7000	0.0074	0.774	1.8798	0.0170	0.073
Total	1.1605	0.0984	0.169	3.1190	0.2269	0.001b
Model 2
Brain volume				5.9894	0.0560	0.001b
Age				2.0533	0.0192	0.041a
Gf	2.7894	0.0295	0.004b	8.3472	0.0781	0.001b
Gc	2.6296	0.0278	0.010a	6.1217	0.0573	0.001b
Gv	1.4267	0.0150	0.108	4.0102	0.0375	0.001b
Total	1.5144	0.0480	0.033a	3.7551	0.1758	0.001b

PseudoR ² was computed using a type II sum of squares strategy. The statistical significance of each predictor (P value) was calculated using permutation methods (1,000 permutations were run to built the null distribution). They represent the proportion of times the simulated PseudoFs (computed on random datasets) exceed the empirical PseudoF.

^aSignificant at alpha = 0.05.

^bSignificant at alpha = 0.01.