Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease
Abstract This study aimed to identify facial regions characterizing hypomimia through facial action units (AU). It included video recordings from 109 early-stage Parkinson’s disease (PD) and 45 healthy control (HC) subjects, performing rapid syllable repetitions. We identified the features contribut...
Saved in:
| Main Authors: | Anas Filali Razzouki, Laetitia Jeancolas, Sara Sambin, Graziella Mangone, Alizé Chalançon, Manon Gomes, Stéphane Lehéricy, Marie Vidailhet, Isabelle Arnulf, Jean-Christophe Corvol, Dijana Petrovska-Delacrétaz, Mounim A. El-Yacoubi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
|
| Series: | npj Parkinson's Disease |
| Online Access: | https://doi.org/10.1038/s41531-025-00895-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Privacy‐preserving speaker verification system based on binary I‐vectors
by: Aymen Mtibaa, et al.
Published: (2021-05-01) -
Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease
by: Rebecca Ting Jiin Loo, et al.
Published: (2025-07-01) -
Distinct brain atrophy progression subtypes underlie phenoconversion in isolated REM sleep behaviour disorderResearch in context
by: Stephen Joza, et al.
Published: (2025-07-01) -
Classification of GBA1 variants and their impact on Parkinson’s disease: an in silico score analysis
by: Aymeric Lanore, et al.
Published: (2025-08-01) -
Machine Learning-Based Prediction of Impulse Control Disorders in Parkinson’s Disease From Clinical and Genetic Data
by: Johann Faouzi, et al.
Published: (2022-01-01)