Clinical-Instrumental patterns of neurodegeneration in Essential Tremor: A data-driven approach

Abstract Introduction Essential Tremor (ET) is increasingly recognized as a complex disorder with additional clinical signs other than tremor. It is still unknown whether a unique pathophysiologic or neurodegenerative process underlies progression and prognosis of the disease. The aim of the study was to identify ET phenotypes through a clinical-instrumental data-driven approach and to characterize possible patterns of neurodegeneration. Methods ET patients were categorized using spatio-temporal and kinematic variables related to mobility and dynamic stability processed by motion transducers. Differences between the identified groups in clinical-demographic variables, neuropsychological per…