MSA CenterS of excellence

Publications

Our Centers of Excellence are at the heart of MSA research, conducting studies that shape the future of diagnosis, care, and treatment. This work represents the dedication of scientists, clinicians, and patients working together to change the future of MSA.

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Multiple system atrophy: advances in pathophysiology, diagnosis, and treatment

Multiple system atrophy (MSA) is a rare, progressive brain disease that causes a mix of movement and non-movement symptoms, often making it hard to distinguish from similar conditions like Parkinson’s disease. Recent research has shed light on how MSA develops, leading to updated diagnostic criteria and opening new possibilities for earlier detection and the development of treatments that could slow the disease.

MSA Center of Excellence:

Medizinische Universitaet Innsbruck

How Do I Diagnose Multiple System Atrophy-A Videolibrary on Clinical and Imaging Features

The aim of this “How Do I” video project is to support clinicians in using the MDS-MSA criteria by showing videos for each feature of the criteria.

MSA Center of Excellence:

NYU Dysautonomia Center – NYU Langone Health, Medizinische Universitaet Innsbruck, Brigham and Women’s Hospital, Mayo Clinic

Early Screening for the Parkinson Variant of Multiple System Atrophy: A 6-Item Score

We validated and improved a 4-item MSA-P score to distinguish early MSA-P from Parkinson’s disease. Expanding it to a 6-item score achieved 89% sensitivity and 98% specificity, providing a cost-effective tool for early-stage MSA-P identification.

MSA Center of Excellence:

Tel Aviv Medical Center

Biomarkers of neurodegenerative parkinsonisms: From current clinical to future biological definitions – literature review and our experience.

In this article we review evidence on imaging and lab biomarkers of degenerative parkinsonisms including MSA and provide examples from our imaging unit and our research lab.

MSA Center of Excellence:

Hospital Clinic de Barcelona

Automated Imaging Differentiation for Parkinsonism

Magnetic resonance imaging (MRI) paired with appropriate disease-specific machine learning holds promise for the clinical differentiation of Parkinson disease (PD), multiple system atrophy (MSA) parkinsonian variant, and progressive supranuclear palsy (PSP). This prospective, multi-center study evaluated over 300 patients, and demonstrated robust differentiation of PD from atypical disorders, as well as MSA from PSP, with over 95% accuracy. The results suggest using AIDP in the diagnostic workup for common parkinsonian syndromes.

MSA Center of Excellence:

University of Florida