Table 10.

Cross-sectional analyses: coefficient estimates of multiple regression models showing a significant association between cognition and graph theoretical measures with significant young-elderly group differences^a

Predictor	Coefficient	SE	t	Uncorr p	FDR-adj p	Validation resultsb
Dependent variable: attention
Local efficiency	2.737	1.098	2.49	0.015	—	1,2,3,4
Mean participation coefficient	−2.970	1.139	−2.61	0.011	—	1,2,3,4
Dependent variable: global cognitive performance
DorsAttn/Control A	−2.004	0.669	−3.00	0.004	0.027	1,4

^aUncorr, Uncorrected; FDR-adj, false discovery rate-adjusted; DorsAttn, dorsal attention.

^bValidation results: 1, effect remains significant (global measures: p < 0.05; modular measures: FDR-adjusted p < 0.05) after controlling for mean relative motion and number of volumes; 2, effect remains significant (global measures: p < 0.05; modular measures: FDR-adjusted p < 0.05) after repeating the analyses in a subset of participants (young: n = 54; elderly: n = 68) with at least 150 volumes of good-quality imaging data (i.e., ≥5 min in length) remaining after scrubbing; 3, effect remains significant (global measures: p < 0.05; modular measures: FDR-adjusted p < 0.05) after maintaining equal scan lengths (123 volumes) across all participants; 4, effect remains significant (global measures: p < 0.05; modular measures: FDR-adjusted p < 0.05) after controlling for mean functional connectivity strength across all edges.