Machine learning models combining sMRI, DTI, and fMRI features may enhance diagnostic accuracy and prognostication, particularly in distinguishing ALS subtypes (e.g., C9orf72 mutation carriers) or predicting rates of progression. This evidence concerns the gene C9orf72 and amyotrophic lateral sclerosis.