Table 1.

Standardized beta coefficients and p values of included and excluded variables of the regression models

Multilayer EC of the FPN and EF
 βP
Final model (R2adj = .105) 
Multilayer EC .365 .037* 
Excluded variables 
EC MEG delta .047 .798 
EC MEG upper alpha .056 .752 
EC dMRI .074 .669 
EC MEG theta −.065 .716 
EC rsfMRI .097 .587 
EC MEG beta .144 .407 
EC MEG gamma −.204 .234 
EC MEG lower alpha −.238 .163 
Age & multilayer EC of the FPN
 βP
Final model (R2adj = .241) 
Age .014 .010* 
Age squared .00013 .021* 
Multilayer EC of the FPN and EF
 βP
Final model (R2adj = .105) 
Multilayer EC .365 .037* 
Excluded variables 
EC MEG delta .047 .798 
EC MEG upper alpha .056 .752 
EC dMRI .074 .669 
EC MEG theta −.065 .716 
EC rsfMRI .097 .587 
EC MEG beta .144 .407 
EC MEG gamma −.204 .234 
EC MEG lower alpha −.238 .163 
Age & multilayer EC of the FPN
 βP
Final model (R2adj = .241) 
Age .014 .010* 
Age squared .00013 .021* 

Note. Top: multilayer eigenvector centrality of the fronto-parietal network and executive functioning. Bottom: age and multilayer eigenvector centrality of the fronto-parietal network. EC = eigenvector centrality; FPN = fronto-parietal network; EF = executive functioning; MEG = magnetoencephalography; dMRI = diffusion MRI; rsfMRI = resting-state functional MRI. Asterisk (*) indicates significance at the p < 0.05 level.

Close Modal

or Create an Account

Close Modal
Close Modal