Fig. 5
From: Characteristic oscillatory brain networks for predicting patients with chronic migraine
Performance of classification models with distinct network features for CM versus HC. a Comparisons of model performance with distinct features. b Receiver operating characteristic curves and area under the curve (AUC) values for different models. c Averaged Shapley values from prominent models for different brain areas. d Shapley values are then mapped onto axial-view brain images and colour-coded. PN, pain-related network; DMN, default mode network; SMN, sensorimotor network; VN, visual network; Ins-DMN, insula to DMN. MT, medial temporal; LT, lateral temporal; IP, inferior parietal; PCC, posterior cingulate cortex; Prec, precuneus; MF, media frontal; Ins, insula; ACC, anterior cingulate cortex; MI, primary motor; SI, primary somatosensory; SII, secondary somatosensory; L, left; R, right