Fig. 4 |. Decoding of chronic and acute pain states are differentially supported by ACC and OFC features across participants.
a, Relative importance of OFC versus ACC normalized power features to decoding of chronic pain NRS full models in each participant. Individual histograms show distributions of the magnitudes of OFC feature weights minus ACC feature weights across all recording sessions for real data (black, left facing) and shuffled surrogate data (gray, right facing; Methods). Values above 0 indicate greater OFC weights, and values below 0 indicate greater ACC weights. Contralateral OFC delta power was more important than ACC for discriminating high versus low pain across all participants (red highlight). b, Relative feature importance for acute-affected pain for the two participants that had significant decoding. For acute pain, there was a shift to greater ACC importance across frequencies compared with chronic pain. Two-sided Wilcoxon rank-sum test. P values corrected for multiple comparisons with the Benjamini–Hochberg method. In a, *P < 10−4; **P = 0.002 (CP1), **P = 0.043 (CP2), **P = 0.001 (CP3). In b, *P < 10−3; **P = 0.046 (CP1), **P = 0.042 (CP2).