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

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

IntroductionFunctional 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...

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Main Authors: Giovanni Mostile, Christian Geroin, Roberto Erro, Antonina Luca, Enrico Marcuzzo, Paolo Barone, Roberto Ceravolo, Sonia Mazzucchi, Andrea Pilotto, Alessandro Padovani, Luigi Michele Romito, Roberto Eleopra, Carlo Dallocchio, Carla Arbasino, Francesco Bono, Pietro Antonio Bruno, Benedetta Demartini, Orsola Gambini, Nicola Modugno, Enrica Olivola, Laura Bonanni, Alberto Albanese, Gina Ferrazzano, Rosa De Micco, Maurizio Zibetti, Giovanna Calandra-Buonaura, Martina Petracca, Francesca Morgante, Marcello Esposito, Antonio Pisani, Paolo Manganotti, Fabrizio Stocchi, Mario Coletti Moja, Ilaria Antonella Di Vico, Lucia Tesolin, Francesco De Bertoldi, Tommaso Ercoli, Giovanni Defazio, Mario Zappia, Alessandra Nicoletti, Michele Tinazzi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Neurology
Subjects:
cluster analysis
clinical phenotypes
Functional Motor Disorders
data-driven phenotyping
functional neurological disorder
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.987593/full

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https://www.frontiersin.org/articles/10.3389/fneur.2022.987593/full

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