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TRUVACE RECORD VERSION record: TRV-2026-1175 version: 1 kind: certified reason: Certified into the record timestamp: 2026-09-23T06:53:36.160574Z status: published lens: p_space sector: health headline: Quantitative Assessment of Facial Expression Asymmetry in Parkinson's Disease dek: 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… gain_title: (none) problem_title: 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. trace_subject: (none) gain_reading: (none) gain_evidence: (none) problem_reading: 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. problem_evidence: (none) quick_read: 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. 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. limitation: tag: Evidence-backed problem key_points: 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. rundown: 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 independent cohorts. sources: - peer_reviewed | Journal of Movement Disorders | https://doi.org/10.14802/jmd.26080 | 2026-09-22 prev: 0000000000000000000000000000000000000000000000000000000000000000
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