Fig. 4.

Between-feature correlations. (A and B) Heatmaps depicting the correlations between different features (SI Appendix, Figs. S3 and S4) on their vertex-wise averages, with corresponding Pearson’s correlation coefficients annotated. Significant correlations, after correcting for spatial autocorrelation and multiple comparisons, are indicated by bold annotations. Panels (C–E) illustrate the correlations between perfusion and various hippocampal morphometric and staining intensity-based features derived from the BigBrain sample. In panel (E), the point plot displays permuted Pearson’s correlation coefficients represented by semi-transparent black markers, which were used to calculate color-coded significance levels.