Long-term outcomes of subthalamic Deep Brain Stimulation in LRRK2 patients
Objective: To compare the basal characteristics and postoperative clinical outcomes of LRRK2 mutation carriers and idiopathic Parkinson’s disease patients treated with subthalamic deep brain stimulation…Predicting Long Term Outcome of Gait Kinematics with Chronic Deep Brain Stimulation in Patients with Parkinson’s Disease
Objective: To determine variables that predict outcome of gait kinematics with chronic deep brain stimulation (DBS) of the subthalamic nucleus (STN) or globus pallidus internus…Fatigue In Parkinson’s Disease: Is It Primary or Secondary?
Objective: The aim of this study was to investigate whether fatigue in idiopathic Parkinson's disease is primary or secondary and to explore its correlation with…Exploring the Association Between Interoceptive Awareness and Neuropsychiatric Symptoms in People Living with Parkinson’s Disease
Objective: This study aimed to evaluate the associations between IA, NPSs, and CI in People Living with PD (PwP) Background: Interoceptive awareness (IA) involves perceiving…Non-Motor Symptom Comparisons by Race/Ethnicity in Thousands with PD Diagnosis
Objective: To compare the incidence of non-motor symptoms (NMS) across racial and ethnic groups among individuals diagnosed with PD using the TriNetX platform, a global…Determining the Influence of Cardiovascular Interventions and Factors on developing Parkinson’s Disease: Inferences from a Data-Driven Causal Forest Model
Objective: To investigate the directional influence between cardiovascular factors/interventions and Parkinson’s disease using causal inference based machine learning techniques. Background: Parkinson’s disease (PD) is a…Dopaminometer: A Smartphone-Based Application to Predict Striatal Dopaminergic Deficit in Prodromal and Manifest Parkinson’s disease
Objective: To assess the feasibility of a smartphone-based application (“Dopaminometer”) for predicting abnormal vs. normal dopamine transporter (DaT) scans and dopaminergic ratios in individuals with…Unsupervised Analysis and Clustering of 3D Parkinsonian Gait
Objective: To investigate whether deep neural networks can learn meaningful representations of gait in Parkinson’s disease (PD), and to probe whether these representations group PD…Feasibility of Telemedicine Approaches in the OxQUIP Study
Objective: To evaluate the feasibility of remote telehealth and digital monitoring telemedicine approaches in a longitudinal study of people living with Parkinson’s disease (PwP) and…WATCH-PD2: A Remote Extension Digital Measures Study in Early Parkinson’s Disease: Status Update
Objective: To evaluate longitudinal change in WATCH-PD digital measures in a remote extension study in order to maximize learnings and inform use of digital measures…
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