Clinical and electrophysiological heterogeneity of essential tremor

Abstract

This study aimed to identify clinical and electrophysiological signs that determine the phenotypic heterogeneity of essential tremor using a cluster analysis. Seventy-five patients with essential tremor were examined. To identify the heterogeneity of the disease, a cluster analysis was applied (k-means method). Clustering was performed according to clinical and electromyographic parameters. The heterogeneity of essential tremor is justified by amplitude characteristics, topography of tremor, duration disease, and severity of impaired of daily activity. Detecting heterogeneity in essential tremor can broaden understanding of pathogenesis disease and justify heterogeneity of the pharmacological response in patients with essential tremor.