Changes in facial expressions can distinguish Parkinson’s disease via Bayesian inference

Changes in facial expressions can distinguish Parkinson’s disease via Bayesian inference

ObjectivesWe aimed to clarify the influence of facial expressions on providing early recognition and diagnosis of Parkinson’s disease (PD).MethodsWe included 18 people with PD and 18 controls. The participants were asked to perform 12 monosyllabic tests, 8 disyllabic tests, and 6 multisyllabic tests...

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Bibliographic Details
Main Authors: Meimei Mouse, Hongjie Gong, Yifeng Liu, Fan Xu, Xianwei Zou, Min Huang, Xi Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Neurology
Subjects:
Parkinson’s disease
facial expressions
Bayesian network
tree-augmented network
prediction model
Noldus FaceReader
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1533942/full
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