A Mixed Reality Multimodal System for Objective Assessment of Motor and Cognitive Functions in Neurodegenerative Diseases
Objective: This study aimed to develop an immersive system using Microsoft HoloLens 2 for assessing motor and cognitive functions by integrating speech, movement, and eye-tracking…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…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…Integration of Multivariate Time Series Analysis in Assessing Balance Control: A Comprehensive Review of Current Research
Objective: To review the application of multivariate time series (MTS) analysis in assessing balance control and its potential for improving rehabilitation strategies. Background: Balance control…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…Leveraging a Smartphone-based Platform for Parkinson’s disease Real-world Research: A Multicenter, Cross-sectional Feasibility Assessment Study
Objective: To evaluate the feasibility of a smartphone-based platform for remote patient-reported outcome (PRO) collection in Parkinson’s disease (PD) and explore its utility in identifying…Bridging the Digital Gap: A Global Survey of Technology Adoption by the MDS Technology Study Group
Objective: To enhance our understanding of the clinical use of digital diagnostic and monitoring technologies among movement disorders clinicians worldwide. Background: The field of movement…Resolution Dependence of Machine Learning for Differential Diagnosis of Parkinsonian Eye Movements
Objective: To establish the extent to which high temporal resolution is required to differentiate between parkinsonian disease states from eye movements. Background: Previous studies have…Using R and Python for Kinematic Analysis in Robotic-Assisted Balance Training: A Review of Methodologies and Outcomes
Objective: To review the methodologies and outcomes of kinematic analysis using R and Python in robotic-assisted balance training, highlighting their role in enhancing rehabilitation strategies.…Joint Prediction of Motor and Non-motor Deep Brain Stimulation Outcomes using Quantitative Susceptibility Mapping
Objective: To jointly estimate motor and non-motor outcomes of deep brain stimulation using presurgical quantitative susceptibility maps. Background: Parkinson’s disease (PD) patients with motor complications…
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