Classical Machine Learning approaches to automate tremor detection from electrophysiological data
Objective: To detect tremor syndromes from electrophysiological signatures using classical machine learning techniques. Background: Electromyographic recordings combined with accelerometry data are widely used to measure…Developing New Insights Into Clinical and Genetic Features of PD – The Global Parkinson’s Genetics Program (GP2) Clinical Cohorts Working Group
Objective: We aim to recruit Parkinson’s cohorts across the world for the Global Parkinson’s Genetics Program (GP2, http://gp2.org/), harmonize clinical data for joint analysis and…More than medications: Patient and care partner perspectives on care for Parkinson’s during hospitalization
Objective: To document and assess the needs, experiences, and self-reported challenges among patients and care partners that impact optimal care for Parkinson's disease (PD) during hospitalization.…Longitudinal Assessessment of Social Cognition in de novo PD patients and its Relationship with Striatal Dopaminergic Innervation
Objective: To prospectively assess social cognition (SC) in newly diagnosed, cognitively normal Parkinson’s disease (PD) patients and its relationship with striatal dopaminergic innervation. Background: SC…Development of a Novel Questionnaire on Women’s Health to Understand Its Role in Parkinson’s Disease Development and Progression
Objective: Understand the role of women’s health and its effect on Parkinson’s disease (PD) and treatment outcome through a questionnaire available in English and Spanish.…RETINAL THICKNESS IN ESSENTIAL TREMOR AND EARLY PARKINSON’S DISEASE: EXPLORING DIAGNOSTIC INSIGHTS
Objective: To explore the possible role of retinal assessment in a differential diagnostic setting in Essential Tremor (ET) through a standardized OCT protocol. Background: ET…Video-guided Optimization of Stimulation Settings in Patients with Parkinson’s Disease and Deep Brain Stimulation
Objective: To investigate whether video-based evaluations of motor control and changes of predefined stimulation parameters via patient programmer can improve motor status in Parkinson’s disease…Detection of Parkinson’s Disease by Analysis of Smooth Pursuit Eye Movements and Machine Learning
Objective: The present study investigates an automatic method to parameterize smooth pursuit eye movements (SPEM) and to differentiate Parkinson's disease (PD) from controls using machine…Inflammatory changes in subjects with de novo Parkinson’s disease
Objective: To examine whether inflammation is present in subjects newly diagnosed with Parkinson’s disease (PD). Background: Evidence for the role of inflammation in PD has…Diagnostic Accuracy of Parkinson’s disease: Where Do We Stand?
Objective: To provide an up-to-date assessment of diagnostic accuracy parameters at early and late stages of the diagnosis in clinical practice and MDS Diagnostic Criteria…
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