Novel Aggressive Subtype of Multiple System Atrophy Identified by Unsupervised Machine Learning

The SN-OPC-synchronous subtype provides insights into α-synuclein propagation mechanisms, suggesting multiple initial seeding sites rather than unidirectional spread. This computational approach uncovered disease heterogeneity undetectable by conventional methods, potentially benefiting clinical trials through patient stratification. ANN NEUROL 2026;99:989-1000.

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Publication Details

Journal
Annals of Neurology
Published
2026-01-20
DOI
https://doi.org/10.1002/ana.78131
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Novel Aggressive Subtype of Multiple System Atrophy Identified by Unsupervised Machine Learning

Ryan J. Uitti, William P. Cheshire, Michael DeTure, Daisuke Ono et al.
Annals of Neurology
Parkinson's Disease Mechanisms and Treatments
article

Novel Aggressive Subtype of Multiple System Atrophy Identified by Unsupervised Machine Learning

Ryan J. Uitti, William P. Cheshire, Michael DeTure, Daisuke Ono, Alexandra I. Soto‐Beasley, Satoshi Hirai, Owen Ross, Alexia R. Maier, Zbigniew K. Wszolek, Dennis W. Dickson
article en

Abstract

The SN-OPC-synchronous subtype provides insights into α-synuclein propagation mechanisms, suggesting multiple initial seeding sites rather than unidirectional spread. This computational approach uncovered disease heterogeneity undetectable by conventional methods, potentially benefiting clinical trials through patient stratification. ANN NEUROL 2026;99:989-1000.

Annals of NeurologyVol. 99(4)
Jacksonville College (US), WinnMed (US), The Institute of Statistical Mathematics (JP), Mayo Clinic in Florida (US)
Openalex Percentile: Top 84%
Parkinson's Disease Mechanisms and Treatments
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