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…The use of interleaving stimulation as an advanced DBS programming strategy in movement disorders
Objective: To review a single center’s experience with the use of interleaving stimulation (ILS) in deep brain stimulation (DBS) for movement disorders. Background: DBS is…Clinical Experience with Mixed System Deep Brain Stimulation (DBS): Retrospective Analysis
Objective: In this retrospective analysis, we aim to evaluate adverse events with mixed system DBS and rate of off-label clinical MRI. Background: The use of…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:…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…Quantifying Bradykinesia in Real-world Practice: A Clinician-friendly Video Analysis Tool for Parkinson’s Disease
Objective: To develop and validate a video-based automated analysis tool for the objective and quantitive assessment of bradykinesia in Parkinson’s disease (PD). Background: Currently, evaluating…Improving Automatic Speech Recognition for Speakers with Parkinson’s disease
Objective: 1. Obtain high-fidelity, speech data from 400 people with Parkinson’s (PWP) to train automatic speech recognition (ASR) systems.2. Develop and implement procedures to recruit,…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…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…Role of presenilin 1 variants in parkinsonism
Objective: To characterize presenilin 1 gene (PSEN1) variants which can cause parkinsonism. Background: Variants in PSEN1 are associated with early onset Alzheimer’s disease mainly due…
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