Fig. 4: Correlation of predicted age with actual age.
From: The lifelong nonlinear development of spatial variability of brain signals
A The NKI-RS dataset was used as an internal validation with GV, GS, GVtopo, GStopo, and the different combinations of them as predictive features, respectively. B Models trained on the NKI-RS dataset were used to predict the age of the subjects in the SALD dataset. The prediction performance is shown for the cases where GV, GS, GVtopo, GStopo, and the different combinations of them are used as predictive features respectively. The dash line in the scatterplot indicates y = x. NKI-RS The Nathan Kline Institute - Rockland Sample, SALD The Southwest University Adult Lifespan Dataset, MAE the mean absolute error.
