David Arkadir

This study evaluates the reproducibility and clinical utility of blood mRNA-based gene signatures for Parkinson's disease classification, finding modest performance due to inter-individual variability.

This study uses multiparametric quantitative MRI to identify microstructural changes in the putamen of Parkinson's Disease patients, revealing spatial gradients and asymmetries linked to motor symptoms.

The paper examines non-linear input-output relationships in the subthalamic nucleus of Parkinson's patients by analyzing local field potentials and spiking activity.

The paper shows that increased risk-taking in DYT1 dystonia patients is explained by a model with opposing D1 and D2 receptor-dependent cortico-striatal plasticity abnormalities.

The paper investigates how movement context affects neuronal activity in different subthalamic nucleus domains in Parkinson's patients during movement tasks.