Rethinking Parkinsonism: Limitations in Clinical Diagnosis
Objective: To highlight the limitations in clinically differentiating PD and MSA. Background: The antemortem differentiation of parkinsonian syndromes remains challenging due to overlapping symptomatology, particularly…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…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…Machine Learning Model using Eye Movements for the Differential Diagnosis of iPD and Atypical Parkinsonian Syndromes
Objective: To develop a machine learning (ML) model to first between differentiate between healthy controls, idiopathic PD, Atypical Parkinsonian syndromes and then further subclassify as…A Novel Quantitative Assessment to Evaluate Functional Impairment in Parkinson’s Disease
Objective: To investigate if motion data collected from inertial measurement units (IMUs) mounted on implements used in activities of daily living (ADLs) can characterize the…Traditional Deep Brain Stimulation Programming versus Automated Image-Guided Algorithm in Patients with Parkinson’s Disease
Objective: To compare traditional initial deep brain stimulation (DBS) programming with artificial intelligence (AI)-assisted automated image-guided DBS programming algorithm. Background: DBS programming is a complex,…Effect of Sensory Feedback Vibration Stimulation Using an In-Sole Foot Pressure Monitor on Gait
Objective: To investigate the effects of a sensory feedback vibration stimulation device that integrates an insole foot pressure sensor on gait. Background: Foot pressure during…Clustering and Identification of Parkinson’s Disease Severity Subtypes Using Multimodal Data and Machine Learning Approaches
Objective: This study aimed to classify Parkinson’s disease (PD) severity subtypes by integrating objective multimodal data with machine learning (ML) techniques. We applied unsupervised clustering…MicroRNA Landscape of Multiple System Atrophy: Insights from Plasma and Patient-Derived Induced Pluripotent Stem Cell Models
Objective: To identify small non-coding RNAs (sncRNAs) signatures in multiple system atrophy (MSA) and elucidate their functional mechanisms within patient-derived induced pluripotent stem cell-differentiated oligodendrocytes…A Quantitative Systems Disease Model for Progressive Supranuclear Palsy.
Objective: Developing a computer model integrating the PSP pathology to support clinical trial for new disease-modifying therapies Background: Progressive Supranuclear Palsy is a fast progressing…
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