Table 1 Predictive performance metrics of five brain age algorithms (brainageR, DeepBrainNet, XGBoost, ENIGMA, pyment) across three motion conditions (no motion, low motion, high motion)
From: Examining the reliability of brain age algorithms under varying degrees of participant motion
Predictive metrics (comparing chronological age and brain age) | ||||
|---|---|---|---|---|
Algorithms | No motion | Low motion | High motion | |
brainageR | MAE | 4.043 | 5.316 | 7.236 |
RMSE | 5.128 | 7.150 | 9.535 | |
DeepBrainNet | MAE | 3.497 | 3.937 | 4.019 |
RMSE | 4.629 | 5.121 | 5.230 | |
XGBoost | MAE | 6.927 | 7.642 | 9.021 |
RMSE | 9.025 | 9.647 | 10.757 | |
ENIGMA | MAE | 9.967 | 10.827 | 11.549 |
RMSE | 12.145 | 12.459 | 13.535 | |
pyment | MAE | 3.139 | 3.310 | 3.326 |
RMSE | 4.102 | 4.143 | 4.073 | |