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Papers of the Week


2022


Front Neurol


13

Data-driven clustering of combined Functional Motor Disorders based on the Italian registry.

Authors

Mostile G, Geroin C, Erro R, Luca A, Marcuzzo E, Barone P, Ceravolo R, Mazzucchi S, Pilotto A, Padovani A, Michele Romito L, Eleopra R, Dallocchio C, Arbasino C, Bono F, Bruno P A, Demartini B, Gambini O, Modugno N, Olivola E, et al.
Front Neurol. 2022; 13:987593.
PMID: 36518193.

Abstract

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.