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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
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