We also found that distinct contralesional connectivity patterns classified glioma molecular subtypes, achieving 78% accuracy in classifying patients by isocitrate dehydrogenase mutation (P = 0.004), with 82% precision (P = 0.003) and 73% sensitivity (P = 0.048) for mutant-tumors. This evidence concerns the gene IDH3A and central nervous system cancer.