Quantitative Assessment of Facial Expression Asymmetry in Parkinson's Disease
Objective Hypomimia, or reduced facial expressiveness, is a cardinal motor feature of Parkinson's disease (PD). Although limb motor symptoms in PD are characteristically asymmetric, whether facial hypomimia exhibits comparable asymmetry remains poorly understood. We investigated facial expression asymmetry in PD using AI-based computer vision and machine learning. Methods Videos of instructed emotional facial expressions were collected from 101 individuals with PD and 94 healthy controls (HCs) across two indepen…
Static and dynamic features derived from these indices were compared between groups and used to train machine learning models for PD-HC discrimination, with each model trained and evaluated separately within each cohort.
Evidence
- Peer-reviewedJournal of Movement Disorders2026-09-22
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Truvace Impact Record TRV-2026-1175, v1: “Quantitative Assessment of Facial Expression Asymmetry in Parkinson's Disease.” Truvace, 2026-09-23. /record/TRV-2026-1175 (accessed at citation time). sha256 7ad21fcde7170633…
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