HIGHLIGHTS
SUMMARY
Functional Motor Disorders (FMDs) represent nosological entities with no clear phenotypic characterization, especially in patients with multiple (combined FMDs) motor manifestations. A data-driven approach using cluster analysis of clinical data has been proposed as an analytic method to obtain non-hierarchical unbiased classifications. The study aimed to identify clinical subtypes of combined FMDs using a data-driven approach to overcome possible limits related to "a priori" classifications and clinical overlapping. From a study population of n=410 subjects with FMDs, the authors selected n=188 subjects presenting combined FMDs to be analyzed. Based . . .
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