Regression model for age
| Metric | Predictor | df, dferror | SS | F | p |
|---|---|---|---|---|---|
| FA | Between subjects | ||||
| Age | 1, 171 | 0.347 | 77.867 | <0.001*** | |
| Within subjects | |||||
| Subregion | 4, 684 | 1.395 | 476.799 | <0.001*** | |
| Subregion x age | 4, 684 | 0.046 | 15.577 | <0.001*** | |
| RD | Between subjects | ||||
| Age | 1, 171 | 1.123 | 105.901 | <0.001*** | |
| Within subjects | |||||
| Subregion | 4, 684 | 2.217 | 395.324 | <0.001*** | |
| Subregion x age | 4, 684 | 0.129 | 22.963 | <0.001*** | |
| AD | Between subjects | ||||
| Age | 1, 171 | 0.215 | 10.239 | 0.002** | |
| Within subjects | |||||
| Subregion | 4, 684 | 1.970 | 159.027 | <0.001*** | |
| Subregion x age | 4, 684 | 0.072 | 5.818 | <0.001*** | |
df, degrees of freedom; SS, sum of squares; FA, fractional anisotropy; RD, radial diffusivity; AD, axial diffusivity.
*p < 0.05, **p < 0.01, ***p < 0.001.