Cardiac Autonomic Dysfunction in Patients with Multiple System Atrophy and Spinocerebellar Ataxia: A Comparative Study and Distinctive Machine Learning Model

2025-12-08

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Praewchompoo Sathirapanya

Surachet Rujirussawarawong

Chanon Kongkamol

Napat Cheetanom

Chusak Limotai *

DOI：10.1016/j.parkreldis.2025.108146

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• HRV assessed at rest and deep breathing differentiates MSA-C and SCA • MSA-C shows blunted LF augmentation during deep breathing • SCA demonstrates preferential parasympathetic loss at rest • HRV-based machine learning model achieved promising classification accuracy • SHAP analysis identified LF change, age, and SDNN as key predictors

Cardiac Autonomic Dysfunction in Patients with Multiple System Atrophy and Spinocerebellar Ataxia: A Comparative Study and Distinctive Machine Learning Model

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