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A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs

Lookup NU author(s): Dr Clement LeeORCiD

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Abstract

Aim: To determine if perceptual speech measures distinguish people with Parkinson’s disease (PD), multiple system atrophy with predominant parkinsonism (MSA-P) and progressive supranuclear palsy (PSP). Methods: Speech–language therapists blind to patient characteristics employed clinical rating scales to evaluate speech/voice in 24 people with clinically diagnosed PD, 17 with PSP and 9 with MSA-P, matched for disease duration (mean 4.9 years, standard deviation 2.2). Results: No consistent intergroup differences appeared on specific speech/voice variables. People with PD were significantly less impaired on overall speech/voice severity. Analyses by severity suggested further investigation around laryngeal, resonance and fluency changes may characterize individual groups. Conclusion: MSA-P and PSP compared with PD were distinguished by severity of speech/voice deterioration, but individual speech/voice parameters failed to consistently differentiate groups.

Publication metadata

Author(s): Lee C, Battiston M

Publication type: Article

Publication status: Published

Journal: Journal of Computational and Graphical Statistics

Year: 2025

Volume: 7

Issue: 13

Pages: 191-203

Online publication date: 04/09/2025

Acceptance date: 22/08/2025

Date deposited: 30/09/2025

ISSN (print): 1061-8600

ISSN (electronic): 1537-2715

Publisher: Taylor & Francis

URL: https://doi.org/10.1080/10618600.2025.2554680

DOI: 10.1080/10618600.2025.2554680

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