Real-world Experiences of Image-guided Programming in Subthalamic Nucleus Deep Brain Stimulation in Parkinson’s disease
Objective: We evaluated the effectiveness of image-guided programming (IGP) in patients with Parkinson’s disease (PD) who underwent bilateral subthalamic nucleus (STN) – deep brain stimulation…Functional connectivity enhances prediction of STN DBS motor outcomes
Objective: To assess the predictive value of functional and volumetric MRI data in comparison to clinical data alone for STN DBS outcomes. Background: While STN…Connectivity-Based Analysis of the Impact of GPi Deep Brain Stimulation on the Freezing of Gait in Parkinson’s Disease
Objective: We aim to investigate the association between structural connectivity and its influence on the freezing of gait (FOG) after globus pallidus internus (GPi) deep…Model-Based Gait Outcomes to Track Parkinson’s Disease Progression ?
Objective: To determine whether outcomes extracted from a gait model can serve as markers of symptoms and neurodegeneration progression in Parkinson’s disease (PD). Background: Longitudinal…Balancing Act: Smartphone Data and Machine Learning in Movement Disorder Classification
Objective: Determine if machine learning models can classify healthy individuals and people with movement disorders using smartphone data collected during a simple balance task. Background:…Measuring Motor Improvement with a Wearable Device in a Parkinson Disease Patient undergoing Subcutaneous Levodopa Carbidopa Infusion
Objective: To assess the feasibility of a wearable device for objective quantification of motor improvement in Parkinson's Disease (PD) patients undergoing a therapy from oral…Combining EMG and Simulation-Based Biomarkers to Enhance Parkinson’s Resting Tremor Diagnosis
Objective: To develop a diagnostic tool for Parkinson's Disease (PD) resting tremor using surface Electromyography (sEMG) data and musculoskeletal simulations to identify key biomarkers. Background:…Association of polygenic risk score of the LRRK2 gene for Parkinson’s disease with lysosomal hydrolase activities in the Russian Population based on genetic profile and established risk factors
Objective: To studied a previously proposed polygenic risk scores (PRSs) for PD selected for the LRRK2 gene in a genetic data set of Russian population…Understanding the earliest phases of Parkinson’s disease (PD) – an expanding opportunity to study ‘at-risk’/early/prodromal PD in the Global Parkinson’s Genetics Program (GP2)
Objective: To identify and recruit at-risk/early/prodromal Parkinson’s disease (PD) cohorts around the world to the Global Parkinson’s Genetics Program (GP2, http://gp2.org/) and build a global…Common Genetic Variation Associated with Parkinson’s Disease Biological Measures
Objective: To identify common genetic variants associated with biological measures that have been implicated in Parkinson’s disease and related synucleinopathies. Background: Alpha synucleinopathies, mainly including…
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