Bayesian Network Analysis of Directional Relationships Among Motor and Non-Motor Symptoms in Parkinson’s Disease
Objective: To identify directional relationships among motor and non-motor symptoms in people with Parkinson’s disease (PD) using Bayesian Network analysis and to identify central variables…Non-Motor Symptom Burden as a Key Determinant of Disease Clustering in Parkinson’s Disease
Objective: To evaluate how non-motor symptoms drive the classification of Parkinson’s disease (PD) patients beyond standard motor subtyping. Background: While motor symptoms are the hallmark…Distinct Non-Motor Symptom Progression Subtypes in Parkinson’s Disease Identified Using a Data-Driven SuStaIn Model
Objective: To identify progression-oriented non-motor symptom subtypes in PD using a probabilistic Subtype and Stage Inference (SuStaIn) model applied to routinely available clinical assessments. Background:…Multimodal Deep Learning for Parkinson’s Disease Screening: Fusing Quantitative Gait Analysis and Clinical Features
Objective: To develop and validate a machine learning model integrating quantitative gait parameters and clinical features to enhance the diagnostic accuracy of Parkinson's disease (PD)…5-year Longitudinal Changes in Non-motor Symptoms and Their Association With Motor Progression in Parkinson’s Disease
Objective: To examine longitudinal relationships between non-motor symptoms (NMS) and motor progression in Parkinson’s disease (PD), and to determine whether baseline NMS predict motor decline…FuRST 2.0, A Patient Reported Outcome (PRO) Measure of Functional Ability in Huntington’s Disease (HD): Getting Response Options Right
Objective: To evaluate the response options on the FuRST 2.0 measure of HD functional ability. Background: FuRST 2.0 is a PRO created to detect changes…Association of Triglycerides, LDL, and IL-6 with Non-Motor Symptoms in Parkinson’s Disease: A Cross-Sectional Study
Objective: To analyze the association between serum levels of low-density lipoprotein (LDL), triglycerides, and interleukin-6 (IL-6) with non-motor symptoms in patients with Parkinson’s disease. Background:…Unveiling Oculomotor Phenotypes in Parkinson’s Disease: A Multidimensional Clustering Analysis
Objective: To characterize distinct Parkinson’s Disease (PD) oculomotor phenotypes and evaluate their correlation with motor severity, cognitive function, and non-motor symptom (NMS) profiles using unsupervised…Diet Quality and Nutrient Intake in Parkinson’s Disease: A Multicenter Study in Egypt
Objective: To compare diet quality and nutrient intake between PD patients and controls and examine associations with PD clinical features. Background: Parkinson’s disease (PD) is…The Evolutionary Pathway of Cognitive Impairment in Parkinson’s Disease: A SuStaIn Study
Objective: We aim to characterize the evolution and subtypes in the cognitive impairment in Parkinson’s disease (PD). Background: Cognitive impairment (CI) is one of the…
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