Unstructured Eye Tracking as a Diagnostic and Prognostic Biomarker in Parkinsonian Disorders
1 other identifier
interventional
122
1 country
1
Brief Summary
Study Rationale: No accurate tests currently exist to diagnose Parkinson's disease (PD) and the conditions which mimic it (atypical parkinsonism) at a very early stage. Similarly there are no accurate ways to track how these diseases progress in a very precise manner. Recording eye movements and pupils may be a very sensitive way of doing this and may contain important information about a patient's diagnosis and their cognitive and motor function. Hypothesis: We hypothesize that measuring eye movements and pupil changes while people watch short video clips will differentiate PD and atypical parkinsonism at an early stage. We hypothesize that eye movements and pupil changes will be able to track how a person's disease changes over time and could even predict their disease course from the start. Before we can do this, we need to be able to accurately differentiate between PD and atypical parkinsonism and see how eye movements vary among people with the same disease. Study Design: We will ask a large number of people with PD and atypical parkinsonism to watch very brief video clips while we record eye movements and pupil responses. This is like changing the television channel every few seconds and observing what happens to a person's eyes as they search the new clip. We will compare these results between different disease groups and correlate them with clinical features of PD and atypical parkinsonism. Impact on Diagnosis/Treatment of Parkinson's disease: This may have enormous impact in the assessment of people with PD. It may become an important diagnostic tool, a prognostic marker at the early stage of disease, as well as providing the ability to track disease progression in clinical trials. Next Steps for Development: Once we can demonstrate that eye tracking can differentiate these conditions, we will follow a large number of patients to see how their eye movements and pupils change over time with their disease. If this is a reliable way to track disease it could be used to measure disease progression in these conditions and response to treatment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Dec 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 15, 2022
CompletedStudy Start
First participant enrolled
December 1, 2022
CompletedFirst Posted
Study publicly available on registry
December 6, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 15, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
August 15, 2024
CompletedMarch 15, 2023
March 1, 2023
1.7 years
November 15, 2022
March 13, 2023
Conditions
Outcome Measures
Primary Outcomes (5)
Amplitude of saccadic eye movements (in degrees) measured by Eyelink 1000 eye tracker during free viewing of videos.
Amplitude of saccadic eye movements (in degrees) measured by Eyelink 1000 eye tracker during free viewing of videos.
24 months
Pupil Constriction (in mm) measured by Eyelink 1000 eye tracker during free viewing of videos.
Pupil Constriction (in mm) measured by Eyelink 1000 eye tracker during free viewing of videos.
24 months
Blink Rate (blinks/second) measured by Eyelink 1000 eye tracker during free viewing of videos.
Blink rate (blinks/second) measured by eye tracker during free viewing of videos.
24 months
Velocity of saccadic eye movements (in degrees/second) measured by Eyelink 1000 eye tracker during free viewing of videos.
Velocity of saccadic eye movements (in degrees/second) measured by Eyelink 1000 eye tracker during free viewing of videos.
24 months
Pupil dilatation (in mm) measured by Eyelink 1000 eye tracker during free viewing of videos.
Pupil dilatation (in mm) measured by Eyelink 1000 eye tracker during free viewing of videos.
24 months
Study Arms (4)
Parkinson's disease
EXPERIMENTALEye tracking using Eyelink 1000 during free-viewing of videos
Progressive Supranuclear Palsy
EXPERIMENTALEye tracking using Eyelink 1000 during free-viewing of videos
Multiple System Atrophy
EXPERIMENTALEye tracking using Eyelink 1000 during free-viewing of videos
Corticobasal Syndrome
EXPERIMENTALEye tracking using Eyelink 1000 during free-viewing of videos
Interventions
Participants will watch 20 minutes of video clips while their eye movements, pupil size and blink rate are recorded
Eligibility Criteria
You may qualify if:
- Attending or referred to the Movement Disorder Clinic at the Mater Misericordiae University Hospital
- Current diagnosis of PD, PSP, MSA, CBS.
- Participant can give informed written consent. All participants must be capable of understanding and complying with the requirements of the protocol, including ability to attend for all visits.
- Participants have a minimum Montreal Cognitive Assessment score of ≥16
- All participants must have visual acuity in at least one eye such that they can identify stimuli presented on a computer screen in front of them.
- Participants must be able to sit comfortably for a period of about 20 minutes
You may not qualify if:
- Participant has large visual field defects that obscure visual targets within ±10 degrees of central vision.
- Participants has cognitive impairments that prohibit them from understanding the task description.
- History of stroke, traumatic brain injury or other condition which may interfere with eye movements.
- History of photosensitive epilepsy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Conor Fearonlead
- Queen's Universitycollaborator
Study Sites (1)
Dublin Neurological Institute at the Mater Misericordiae University Hospital
Dublin, Leinster, D07W7XF, Ireland
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Conor Fearon, MB PhD
Dublin Neurological Institute at the Mater Misericordiae University Hospital
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Consultant Neurologist
Study Record Dates
First Submitted
November 15, 2022
First Posted
December 6, 2022
Study Start
December 1, 2022
Primary Completion
August 15, 2024
Study Completion
August 15, 2024
Last Updated
March 15, 2023
Record last verified: 2023-03
Data Sharing
- IPD Sharing
- Will not share