There is evidence that multiple sclerosis (MS) pathology leads to distinct patterns of volume loss over time (VLOT) in different central nervous system (CNS) structures.We aimed to use such patterns to identify patient subgroups. MS patients of all classical disease phenotypes underwent annual clinical, blood, and MRI examinations over 6 years. Spinal, striatal, pallidal, thalamic, cortical, white matter, and T2-weighted lesion volumes as well as serum neurofilament light chain (sNfL) were quantified.CNS VLOT patterns were identified using principal component analysis and patients were classified using hierarchical cluster analysis. 225 MS patients were classified into four distinct Groups A, B, C, and D including 14, 59, 141, and 11 patients, respectively). These groups did not differ in baseline demographics, disease duration, Abbreviations: D9HPT, dominant hand 9-hole peg test; EDSS, expanded disability status scale; LMER, linear mixed effect models; MPRAGE, magnetization-prepared rapid gradient-echo; ND9HPT, non-dominant hand 9-hole peg test; sNfL, serum neurofilament light chain; T25fwt, timed 25-ft walk test; T2LV, T2-weighted lesion volume; VLOT, volume loss over time.