Table 3.
Comparison of prediction accuracies between states
| Domain of predicted performance | State A | RMSE mean (SD) | State B | RMSE mean (SD) | t | p-value |
|---|---|---|---|---|---|---|
| Significant main effect of state | ||||||
| WM | REST | 1.10 (0.06) | WM | 1.02 (0.05) | 5.10 | < 0.001 |
| REST | 1.10 (0.06) | SOCIAL | 1.05 (0.06) | 3.49 | 0.013 | |
| REST | 1.10 (0.06) | EMOTION | 1.05 (0.06) | 3.68 | 0.007 | |
| Significant post-hoc tests for specific state—task—network combinations | ||||||
| WM | REST (n-back, Power nodes) | 1.06 (0.09) | WM (n-back, Power nodes) | 0.95 (0.09) | 4.83 | < 0.001 |
| REST (n-back, EMO network) | 1.13 (0.10) | WM (n-back, EMO network) | 1.00 (0.10) | 3.51 | 0.016 | |
| REST (List Sorting, EMO network) | 1.19 (0.09) | WM (List Sorting, EMO network) | 1.05 (0.09) | 4.10 | 0.002 | |
| REST (n-back task, Power nodes) | 1.06 (0.09) | SOCIAL (n-back task, Power nodes) | 0.98 (0.09) | 3.21 | 0.043 | |
| REST (n-back task, Power nodes) | 1.06 (0.09) | EMOTION (n-back task, Power nodes) | 0.97 (0.09) | 3.72 | 0.008 | |
| REST (n-back, EMO network) | 1.13 (0.10) | EMOTION (n-back, EMO network) | 1.00 (0.10) | 3.40 | 0.023 | |
| REST (List Sorting, EMO network) | 1.19 (0.09) | EMOTION (List Sorting, EMO network) | 1.10 (0.09) | 3.32 | 0.030 | |
Note. Machine-learning-adjusted t-test to assess state specificity using the averaged 100 RMSE values obtained from 100-fold cross-validation within the state listed in column “State A” versus the state listed in column “State B”. p-values are Bonferroni corrected for multiple comparisons. Post-hoc t-tests between individual predictions of the task in the network (both noted in brackets) and the state listed in column “State A” versus the state listed in column “State B”.