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. 2024 Apr 1;8(1):226–240. doi: 10.1162/netn_a_00347

Table 2. .

Linear regression coefficients for models predicting cognitive performance from network signal variability without interactions (i.e., “main effects”) and network-by-age interaction terms. Bolded values indicate significant effects (p < 0.05) surviving corrections for multiple comparisons.

Predictors Cognitive flexibility Inhibition Processing speed Working memory
b SE p b SE p b SE p b SE p
Main effects
 Total 0.02 0.04 0.705 0.00 0.04 0.928 0.04 0.04 0.392 0.04 0.05 0.549
 CEN 0.02 0.06 0.745 −0.01 0.06 0.928 0.01 0.06 0.905 0.03 0.06 0.581
 DMN 0.11 0.05 0.107 0.12 0.05 0.074 0.12 0.05 0.071 0.04 0.05 0.549
 DA −0.03 0.04 0.563 −0.02 0.04 0.928 −0.05 0.04 0.392 0.03 0.04 0.549
 LN −0.15 0.04 <0.001 −0.14 0.04 <0.001 −0.14 0.04 <0.001 −0.12 0.04 0.008
 SN −0.05 0.05 0.554 −0.04 0.05 0.818 −0.05 0.05 0.392 −0.07 0.05 0.420
Interactions
 Total × age 0.01 <0.01 0.001 0.01 <0.01 0.001 0.01 <0.01 0.003 <0.01 <0.01 0.414
 CEN × age −0.01 <0.01 0.031 −0.01 <0.01 0.036 −0.01 <0.01 0.038 −0.01 <0.01 0.011
 DMN × age 0.01 <0.01 0.002 0.01 <0.01 0.006 0.01 <0.01 0.003 0.01 <0.01 0.011
 DA × age <0.01 <0.01 0.997 <0.01 <0.01 0.529 <0.01 <0.01 0.881 <0.01 <0.01 0.930
 LN × age <0.01 <0.01 0.268 <0.01 <0.01 0.529 <0.01 <0.01 0.343 <0.01 <0.01 0.930
 SN × age <0.01 <0.01 0.690 <0.01 <0.01 0.529 <0.01 <0.01 0.667 <0.01 <0.01 0.930