Table 2. 
Weighted network metrics of observed and simulated networks from the aging study data produced from the original univariate mixed-model fits and new multivariate fits
ConditionMetricObserved (N = 39)Simulated (N = 100) [Mean (SE)]
Mean (SE)UnivarRest/VisualRest/MS
Rest Clustering coefficient (C0.149 (0.001) 0.155 (0.000) 0.124 (0.000) 0.132 (0.000) 
Global efficiency (Eglob0.231 (0.001) 0.214 (0.000) 0.237 (0.000) 0.250 (0.000) 
Characteristic path length (L4.677 (0.109) 4.720 (0.004) 4.274 (0.006) 4.080 (0.005) 
Mean nodal degree (K10.649 (0.055) 12.747 (0.016) 9.723 (0.029) 10.321 (0.026) 
Leverage centrality (l2.678 (0.015) 1.945 (0.003) 2.103 (0.005) 2.025 (0.004) 
Modularity (Q0.342 (0.001) 0.136 (0.000) 0.218 (0.000) 0.188 (0.000) 
  
Visual Clustering coefficient (C0.150 (0.001) 0.150 (0.000) 0.131 (0.000) NA 
Global efficiency (Eglob0.232 (0.001) 0.205 (0.000) 0.245 (0.000) NA 
Characteristic path length (L4.553 (0.073) 4.992 (0.008) 4.161 (0.005) NA 
Mean nodal degree (K10.656 (0.056) 12.379 (0.025) 9.884 (0.025) NA 
Leverage centrality (l2.671 (0.015) 2.155 (0.010) 2.021 (0.004) NA 
Modularity (Q0.348 (0.001) 0.136 (0.000) 0.194 (0.000) NA 
  
Multisensory Clustering coefficient (C0.140 (0.001) 0.165 (0.000) NA 0.132 (0.000) 
Global efficiency (Eglob0.230 (0.001) 0.218 (0.000) NA 0.250 (0.000) 
Characteristic path length (L4.431 (0.011) 4.700 (0.008) NA 4.080 (0.005) 
Mean nodal degree (K10.547 (0.052) 13.830 (0.027) NA 10.321 (0.026) 
Leverage centrality (l2.862 (0.014) 2.054 (0.006) NA 2.025 (0.004) 
Modularity (Q0.327 (0.001) 0.123 (0.000) NA 0.188 (0.000) 
ConditionMetricObserved (N = 39)Simulated (N = 100) [Mean (SE)]
Mean (SE)UnivarRest/VisualRest/MS
Rest Clustering coefficient (C0.149 (0.001) 0.155 (0.000) 0.124 (0.000) 0.132 (0.000) 
Global efficiency (Eglob0.231 (0.001) 0.214 (0.000) 0.237 (0.000) 0.250 (0.000) 
Characteristic path length (L4.677 (0.109) 4.720 (0.004) 4.274 (0.006) 4.080 (0.005) 
Mean nodal degree (K10.649 (0.055) 12.747 (0.016) 9.723 (0.029) 10.321 (0.026) 
Leverage centrality (l2.678 (0.015) 1.945 (0.003) 2.103 (0.005) 2.025 (0.004) 
Modularity (Q0.342 (0.001) 0.136 (0.000) 0.218 (0.000) 0.188 (0.000) 
  
Visual Clustering coefficient (C0.150 (0.001) 0.150 (0.000) 0.131 (0.000) NA 
Global efficiency (Eglob0.232 (0.001) 0.205 (0.000) 0.245 (0.000) NA 
Characteristic path length (L4.553 (0.073) 4.992 (0.008) 4.161 (0.005) NA 
Mean nodal degree (K10.656 (0.056) 12.379 (0.025) 9.884 (0.025) NA 
Leverage centrality (l2.671 (0.015) 2.155 (0.010) 2.021 (0.004) NA 
Modularity (Q0.348 (0.001) 0.136 (0.000) 0.194 (0.000) NA 
  
Multisensory Clustering coefficient (C0.140 (0.001) 0.165 (0.000) NA 0.132 (0.000) 
Global efficiency (Eglob0.230 (0.001) 0.218 (0.000) NA 0.250 (0.000) 
Characteristic path length (L4.431 (0.011) 4.700 (0.008) NA 4.080 (0.005) 
Mean nodal degree (K10.547 (0.052) 13.830 (0.027) NA 10.321 (0.026) 
Leverage centrality (l2.862 (0.014) 2.054 (0.006) NA 2.025 (0.004) 
Modularity (Q0.327 (0.001) 0.123 (0.000) NA 0.188 (0.000) 
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