Figure 7. Analysis of feature stability for 268-region ChaCo models (with feature selection) and investigation of paradoxical feature weights.

A. Correlation between beta coefficients across five training folds for one permutation. Each point corresponds to one region, and points are coloured by the mean beta coefficient for that region across 500 training folds (i.e. coloured based on y-axis value). B. Boxplots show the distribution of beta coefficients of consistently-weighted regions (defined as having median beta coefficients that are zero or of an opposite sign <5% of the time). In total, 30 regions with consistent negative weights and 5 regions with consistent positive weights remained. Median weights for consistently-weighted regions are plotted on a brain. The boxes extend from the lower to upper quartile values of the data, with a line at the median. Whiskers represent the range of the data from [Q1–1.5*IQR, Q3+1.5*IQR].