Table 2.
Brain age prediction accuracy using CNN in the test dataset.
| Network | FPN | DAN | DMN | SMN | VAN | VN | LN |
|---|---|---|---|---|---|---|---|
| r | 0.87 | 0.86 | 0.86 | 0.75 | 0.71 | 0.61 | 0.61 |
| R2 | 0.76 | 0.75 | 0.73 | 0.56 | 0.50 | 0.37 | 0.40 |
| MAE (years) | 5.55 | 5.77 | 6.07 | 8.26 | 9.31 | 10.08 | 10.31 |
| RMSE | 8.37 | 8.59 | 8.79 | 11.36 | 12.66 | 14.21 | 13.96 |
r, Pearson's correlation coefficient; MAE, mean absolute error; RMSE, the root mean squared error; FPN, Frontoparietal network; DAN, Dorsal Attention network; DMN, Default mode network; SMN, Somatomotor network; VAN, Ventral Attention network; VN, Visual network; and LN, Limbic network.