Fig. 3

Machine learning model design and performance. A SVM classifier overview. HCP-MMP1.0: Human Connectome Project Multi-Modal Parcellation version 1.0 [24]; PCA: principal component analysis; CV: cross-validation. B Model performance as a tool for differentiating between TN patients and healthy controls. HFS patients served as disease controls for analyses of model specificity. TN: trigeminal neuralgia; HFS: hemifacial spasm disease controls; CON: healthy controls. C ROC and AUC values for models trained on individual neocortical and subcortical features. D AUC values corresponding to 5,000 permutation tests conducted using the final model. The AUC frequency across 5,000 tests is denoted with a blue histogram, while the real AUC without permutations is indicated by a vertical red line