Age-dependent changes in FA and MD in cerebral WM of the developing brain with an exponential regression model
| Region | Regression Coefficients | Exponential Fit Model | ||||
|---|---|---|---|---|---|---|
| a | b | c | y-intercept | r2 | RMSE | |
| FA | ||||||
| gCC | −0.307 | 0.138 | 0.722 | 0.416 | 0.629 | 0.039 |
| bCC | −0.327 | 0.109 | 0.740 | 0.414 | 0.562 | 0.046 |
| sCC | −0.365 | 0.117 | 0.785 | 0.420 | 0.729 | 0.039 |
| ALIC | −0.286 | 0.125 | 0.565 | 0.279 | 0.745 | 0.029 |
| PLIC | −0.206 | 0.073 | 0.655 | 0.449 | 0.772 | 0.023 |
| MD | ||||||
| gCC | 0.616 | 0.088 | 0.902 | 1.518 | 0.659 | 0.088 |
| bCC | 0.617 | 0.096 | 0.818 | 1.435 | 0.686 | 0.070 |
| sCC | 0.857 | 0.069 | 0.831 | 1.688 | 0.671 | 0.129 |
| ALIC | 0.429 | 0.134 | 0.771 | 1.200 | 0.683 | 0.049 |
| PLIC | 0.319 | 0.089 | 0.732 | 1.051 | 0.692 | 0.042 |
Note:—Given are the values for the regression coefficients describing the best-fit function of the FA and MD values for each region of interest.
bCC indicates body of the corpus callosum; gCC, genu of the CC; r2, square of the correlation coefficient, describing the goodness of fit; RMSE, root mean square error; sCC, splenium of the CC.