Quantitative Gait Evaluation in Multiple System Atrophy: Supervised versus Unsupervised Analysis
Objective: This study aims to compare gait parameters in real-world (RW) home settings with supervised clinical assessments on 6-minutes walking test (6MWT) in MSA patients…Clinical and Dopaminergic Characteristics of MSA-C Patients with Predominant Cerebellar Asymmetry
Objective: To identify multiple system atrophy–cerebellar type (MSA-C) patients with marked cerebellar asymmetry and compare their features with symmetrically affected patients. Background: While asymmetry is…Differences Between Clinical and Imaging Phenotypes in Phase 2 Study of ATH434 in Multiple System Atrophy
Objective: To assess differences between clinical and imaging phenotypes in Multiple System Atrophy (MSA) and evaluate the reliability of imaging biomarkers for subtype classification. Background:…Simple linear measurements of the putamen reliably differentiate MSA from other parkinsonian disorders on MRI.
Objective: This study evaluates the utility of simple linear measurements of the putamen to distinguish Multiple System Atrophy (MSA) from idiopathic Parkinson’s Disease (iPD) and…Novel Multiple System Atrophy Subtypes Identified Using Unsupervised Machine Learning Algorithms
Objective: To identify a novel disease subtype of multiple system atrophy (MSA) by applying machine learning algorithms to a large cohort of autopsy-confirmed MSA. Background:…Challenges in Diagnosing and Managing Multiple System Atrophy in Low-Resource Settings: Insights from Nepal
Objective: This study aims to explore the diagnostic and therapeutic challenges faced in the management of Multiple System Atrophy (MSA) in low-resource settings, focusing on…Intraepidermal Nerve Fiber Density at Baseline Associates with One-year Clinical Disease Progression in Multiple System Atrophy
Objective: In a longitudinal manner explore possible diagnostic and prognostic properties of determining intraepidermal nerve fiber density (IENFD), by means of skin punch biopsy, in…Unsupervised Learning Approach for Pathology-Based Subtyping and Staging Multiple System Atrophy
Objective: To develop a classification and staging system for multiple system atrophy (MSA) using data-driven disease progression modeling. Background: MSA exhibits varying degrees of degeneration…Association Between Clinical Progression in Multiple System Atrophy and Brain Volume Changes Evaluated via Deep Learning Segmentation
Objective: Assess brain volume changes in patients with multiple system atrophy (MSA) over one year. Background: Identifying disease progression biomarkers is crucial for advancing MSA…Consideration of age and initial putaminal rim segment in distinguishing multiple system atrophy parkinsonian type
Objective: To improve diagnostic performance in distinguishing multiple system atrophy parkinsonian type (MSA-p), we investigated the iron deposition pattern in the putaminal lateral margin of…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.