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

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 performances and retinal parameters by Optical Coherence Tomography (OCT) segmentation analysis were tested. Results: Twenty-five ET patients were studied. Based on clustering of kinematic and spatio-temporal gait parameters, two independent groups were identified: cluster “A” (N = 15) and cluster “B” (N = 10). Compared to group A, group B had overall worse performance in mobility, especially on turning tasks. Identified clusters did not differ in terms of age, age at onset and disease duration. Patients in group B had more head tremor and more severe action tremor in the upper limbs as compared to group A, demonstrating also worse performances on cognitive assessments. Based on OCT analysis, group B presented a reduced thickness of the retinal inner layer as compared to group A, suggesting underlying neurodegenerative processes. Conclusions: The presence of gait and mobility impairment, associated with midline tremor, cognitive decline and retinal degeneration suggests a subtype of ET associated with neurodegeneration.