Daniel Vered BSc

The clinical and pathophysiological heterogeneity of Parkinson's disease (PD) is well recognized, with substantial variability in motor and cognitive manifestations across individuals.1 Efforts to capture this variability have included both a priori subtype classifications based on features such as age at onset or motor phenotype (TD, tremor dominance or PIGD, postural instability gait difficulty), and data-driven clustering approaches integrating broader clinical, motor, and non-motor...