Using AI to find facial and speech signs of Parkinson's and related disorders
Official title: Study on Artificial Intelligence-Based Facial and Speech-Related Patterns in Parkinson's Disease and Their Digital Biomarkers
Run by Beijing Tiantan Hospital · NCT07392411 · Data updated 2026-11-12
This project uses AI to analyze facial expressions and speech to try to find digital markers that help diagnose and tell apart Parkinson's disease, PSP, MSA, and healthy people.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 15 Years to 75 Years |
| Sex | All |
| Enrollment | 720 (estimated) |
| Sponsor | Beijing Tiantan Hospital Academic / other |
| Locations | 1 site (Beijing, Beijing Municipality) |
| Status | Recruiting |
| Started | July 25, 2023 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | February 6, 2026 |
| Trial ID | NCT07392411 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18–75 with clinically diagnosed Parkinson's disease, PSP, or MSA, or healthy controls, who can give informed consent and agree to facial video and speech recordings are ideal candidates.
✕Probably not a fit
People under 18 or over 75, those unable to consent or cooperate with recordings, or those whose face or speech is altered by unrelated conditions (for example recent facial surgery, stroke, or severe dementia) may not receive benefit from this work.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study records participants' facial expressions on video and speech audio to generate datasets for machine-learning analysis. Participants include people with Parkinson's disease across early and later stages, patients with progressive supranuclear palsy or multiple system atrophy, and healthy controls. AI models will be trained to identify patterns in facial and vocal features that may serve as digital biomarkers for diagnosis and differentiation. All data collection is performed in person at a single center with informed consent and standard clinical diagnostic criteria used for group assignment.
Why it matters
Potential benefit: If successful, the approach could provide noninvasive, low-cost digital tools to support earlier or more accurate diagnosis and differentiation of Parkinsonian disorders.
How similar studies have gone: Previous research using voice and facial analysis in Parkinson's disease has shown promising early results but remains experimental and not yet established as a clinical diagnostic standard.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Inclusion Criteria for Parkinson's Disease (PD) Group: (1) Diagnostic Criteria: Meet the diagnostic criteria for Parkinson's disease established by the Movement Disorder Society (MDS) in 2015. (2) Age Range: 18-75 years old. (3) Disease Severity: Early-stage PD: Hoehn-Yahr score ≤ 2.5 points. Mid-to-late-stage PD: Hoehn-Yahr score 2.5-5 points. (4) Consent for Data Collection: Willing to undergo facial expression video and speech audio recording. (5) Informed Consent: Signed informed consent form. 2. Inclusion Criteria for Parkinson's Plus Syndromes (MSA-P, PSP) Group: (1) Age Range: 18-75 years old. (2) Diagnostic Criteria: MSA patients must meet the diagnostic criteria established by the \[Chinese Expert Consensus on the Diagnosis of Multiple System Atrophy, 2017\]. PSP patients must meet the diagnostic criteria established by the \[Chinese Clinical Diagnostic Criteria for Progressive Supranuclear Palsy, 2016 Edition\]. (3) Consent for Data Collection: Willing to undergo facial expression video and speech audio recording. (4) Informed Consent: Signed informed consent form. Exclusion Criteria: 1. History of cerebrovascular disease, head trauma, hydrocephalus, brain tumors, or intracranial surgery. 2. Presence of metal implants, cardiac pacemakers, or other metallic foreign bodies (applies to PD patients). 3. Severe dyskinesia in PD patients that would compromise cooperation with video/audio recording. 4. Mini-Mental State Examination (MMSE) score ≤ 24 points.
Where it's running
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首都医科大学附属北京天坛医院
Beijing, Beijing Municipality, China Recruiting
Study contacts
- Study coordinator: Lingyan Ma, M.D.
- Email: Jennifer_MLY@163.com
- Phone: +8613520873987
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Tributyrin for PSP: a virtual, early-phase study
This study tests whether tributyrin is safe and tolerable in people with Progressive Supranuclear Palsy who are 45 or older, using virtual visits.
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Longitudinal registry of people with multiple system atrophy in China
This study follows Chinese patients with multiple system atrophy over time to describe how the disease starts and progresses and to compare with people with Parkinson's and healthy controls.
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Personalized magnetic brain stimulation for parkinsonian disorders
This study will try personalized repetitive transcranial magnetic stimulation (rTMS) to see if it eases motor and non-motor symptoms in people with Parkinson's disease, multiple system atrophy, or progressive supranuclear palsy.
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This study is testing if implanting nerve tissue into the brains of people with early-stage Parkinson's or Multiple System Atrophy can help repair damaged cells and slow down the disease.
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Genetic program for Progressive Supranuclear Palsy and related conditions
This study is collecting DNA from adults with Progressive Supranuclear Palsy and similar conditions to see how genetics might help improve diagnosis and care for patients.
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This study is testing a new imaging agent to see if it can help detect certain brain changes in people with Parkinson's disease, Multiple System Atrophy, and Dementia with Lewy Bodies, as well as in healthy individuals.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.