A Retrospective, Multicenter, Harmonized Data Collection for Uncovering DBS Long-Term Axial Response
Objective: To determine pre-surgery (e.g., motor phenotype), during-surgery (e.g., electrodes' position), and post-surgery (e.g., stimulation parameters) factors predicting DBS-induced effects on axial symptoms in people…From Campotomy to MR-Guided Focused Ultrasound Pallidothalamic Tractotomy for Parkinson’s: A Systematic Review in the Context of a Phase III Study
Objective: To summarize and review efficacy and safety evidence of pallidothalamic tractotomy (PTT) using MR-guided focused ultrasound (MRgFUS). Background: Speigel and Wycis performed lesions in…Weight loss post deep brain stimulation to bilateral subthalamic nuclei in a Parkinson’s disease with PARKIN mutation – A Harbinger sign of malignancy
Objective: We present a challenging case of genetic PD who presented with progressive weight loss and constipation despite post-DBS and was found to have malignancy.…Application of Respiratory-Controlled Cardiopulmonary Coupling in Early Diagnosis of Parkinson’s Disease
Objective: Studies have shown that autonomic nervous symptoms precede motor symptoms in PD, making autonomic function assessment a potential tool for early PD diagnosis. This…Exploring the Trade-offs Between Speech and Gait in Parkinson’s Disease
Objective: The goal of the study was to explore speech and gait performance trade-off when individuals with Parkinson’s disease (PD) engaged in concurrent speaking and…Parkinson’s Disease (PD) and Type II Diabetes (T2DM): Risk and Progression
Objective: To test whether PD risk is greater in those with a prior diagnosis of T2DM, and whether T2DM is associated with faster PD clinical…Metabolic network signature of quantitative motor effects following deep brain stimulation in Parkinson’s disease
Objective: To integrate [18F]-FDG PET (fPET) and objective motor performance to unravel metabolic networks associated with deep brain stimulation (DBS) outcomes in Parkinson’s disease (PD).…Dietary and Environmental Risk factors of Parkinson’s Disease: An integrated study combining Network Pharmacology and Molecular Docking Analyses
Objective: This large-scale case-control study using network pharmacology and molecular docking, aimed to identify dietary and environmental risk factors of Parkinson’s disease (PD). Background: PD…Towards automated deep brain stimulation programming using neurophysiology and artificial intelligence
Objective: To develop a machine learning (ML) algorithm capable of predicting the optimal deep brain stimulation (DBS) contact based on neurophysiology. Background: DBS is an…Wearable-based Virtual Motor Exam enables remote tracking of motor symptom progression in early-stage Parkinson’s disease
Objective: To evaluate the ability of smartwatch-based measures of tremor, bradykinesia and gait to capture Parkinson’s disease (PD) progression. Background: Wearable sensors enable remote, objective,…
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