Characterization of Autonomic Dysfunction Profiles in Early Parkinson’s disease
Objective: To characterize autonomic dysfunction in early Parkinson’s disease (PD) in order to improve early PD diagnosis. Background: Parkinson’s disease (PD) is a progressive neurodegenerative…Application of Multi-Camera Videography for Detecting PD-related Gait Deficiencies
Objective: To identify and measure PD-specific gait signals in multi-camera videos for differentiating PD vs control (non-PD), without using specialized equipment (e.g., motion capture). Background:…Evaluating the Efficacy of Virtual Reality Simulations in Enhancing Balance Recovery Among Older Adults: A Systematic Review Using Statistical Modeling
Objective: To systematically evaluate the effectiveness of virtual reality (VR) simulations in enhancing balance recovery among older adults through statistical modeling. Background: Age-related declines in…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…Parkinson’s disease motor phenotypes delineated by pallidal and subthalamic neurophysiology and machine learning
Objective: The objective of this study was to develop a machine learning (ML) algorithm capable of predicting motor phenotypes in Parkinson's disease (PD) using intraoperative…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…Artificial Intelligence in the Early Detection of Parkinson’s Disease: Advances, Challenges, and Future Perspectives
Objective: This study reviews AI’s role in early PD detection, comparing AI-driven diagnostic methods with conventional clinical approaches in accuracy, reliability, and applicability. Background: Parkinson’s…Harnessing Machine Learning to Predict Balance Recovery: A Systematic Review of Training Protocols in Neurological Disorders
Objective: To systematically review training protocols integrating machine learning (ML) models in neurological rehabilitation, focusing on balance recovery predictions and their clinical applicability. Background: Balance…Exploring the Impact of Delayed Neural Feedback on Motor Performance: A Meta-Analysis of Robotic Balance Training Interventions
Objective: To evaluate the effect of delayed neural feedback on motor performance by conducting a meta-analysis of robotic balance training interventions in neurological rehabilitation. Background:…Effectiveness of Light Touch Support Device in Assisting Activities of Daily Living: A Pilot Study
Objective: To evaluate the effectiveness of a pneumatic actuator to assist Parkinson's disease patients in daily life activities. Background: Parkinson's disease patients may face difficulty…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.