Extended Data Fig. 7: Decoding AUC for all participants using spectral features from those contacts that were on the same lead for negative vs. neutral behaviours.

The orange and black box plots are from the full and shuffled models across n = 100 runs as in Fig. 2-G. Other boxplots show trained model across n = 100 datasets in which only spectral features from each brain region were used. One-way Krusksal-wallis multi-comparison tests with Bonferroni corrections were used to examine which regions reached the highest performance (refer to supplementary table 7). OFC = orbitofrontal cortex, INS = insula, DCin = dorsal cingulate, VCin = ventral cingulate, HPC = hippocampus, AMY = amygdala. In the box plots, central lines represent the median and the two edges represent 25 and 75 percentiles; whiskers show the most extreme datapoints, and outliers are shown individually (see MATLAB boxplot function). *** signifies p < 0.0001, ** signifies p < 0.01 and * signifies p < 0.05.