Type 1 Diabetes and Risk of Parkinson’s Disease: A Nationwide Nested Case–Control Study
Objective: We investigated whether clinically established T1DM is associated with incident PD in a nationwide real-world population. Background: Recent Mendelian randomization studies have suggested a…Sex-Specific Associations of APOE ε4 with Cognitive Decline in Parkinson’s Disease: Insights from the Critical Path Institute GEM-PD Initiative
Objective: We aim to advance precision medicine strategies for Parkinson’s disease (PD) through data-driven research led by the Critical Path for Parkinson’s (CPP) global public-private…Effects of Targeted Memory Reactivation during Sleep on Motor Memory Consolidation in Parkinson’s Disease
Objective: To study whether targeted memory reactivation (TMR) during sleep improves consolidation of a motor sequence learning task in people with Parkinson’s disease (PD) and…Exploratory Efficacy Analysis of Tavapadon Versus MAO-B Inhibitors in People With Early Parkinson’s Disease
Objective: To evaluate the effect of tavapadon vs monoamine oxidase B inhibitors (MAO-BIs) on motor function in people with early Parkinson’s disease (PD). Background: In…Stakeholder Engagement to Inform Research on Suicidality and Assisted Dying in Parkinson’s
Objective: To explore stakeholder perspectives to identify shared research priorities on suicidality and assisted dying in Parkinson’s and co-design subsequent research. Background: People with Parkinson’s…Markerless Kinematic Analysis of Gait and Turning in Parkinson’s Disease
Objective: To investigate gait and turning biomechanics in individuals with Parkinson’s disease using a 3D markerless motion capture system following a dry needling intervention. Background:…Monogenic Parkinson’s Disease Australia (MonoPDAus) Project Update
Objective: 1. To improve genetic testing access and diagnostic rates of monogenic Parkinson’s Disease (PD) in Australia.2. To establish genotype-phenotype correlation to inform personalised treatment…Untangling the Web of Fall Risk in Parkinson’s Disease Through Machine Learning
Objective: to use machine learning on detailed clinical, cognitive, balance, and gait data to identify which features best predict falls risk in people with Parkinson’s…Comparison of Neuroimaging-Derived and Clinical Motor Subtypes in Early Parkinson’s Disease
Objective: To evaluate diffusion MRI-derived extracellular free water (isotropic diffusion [ISO]) in subcortical motor regions and compare data-driven ISO-based subtypes with clinically defined tremor-dominant (TD),…Nationwide Prevalence of Parkinson’s Disease in Slovakia: A Municipality-Level Analysis
Objective: To determine the nationwide prevalence of Parkinson’s disease (PD) in Slovakia at the level of individual municipalities, with the aim of identifying potential local…
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