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Analysis of features of eye gaze useful in the diagnosis of Parkinson's disease for people living in rural and remote communities. A comparative study between people with early to mid-stage Parkinson's disease and age-matched healthy volunteers.

A comparative clinical study of features of eye gaze for the diagnosis of Parkinson's disease for people living in rural and remote communities. A comparative study between people with early to mid-stage Parkinson's disease and age-matched healthy volunteers.

Status
Terminated
Phases
Unknown
Study type
Observational
Source
ANZCTR
Registry ID
ACTRN12623000221651
Enrollment
32
Registered
2023-03-02
Start date
2024-04-17
Completion date
2025-03-24
Last updated
2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Eye movement abnormalities including the pupillary light reflex (PLR) and saccades occur in movement disorders including Parkinson’s disease. The purpose of this study is to identify robust features of eye gaze as demonstrated using a commercial eye tracking device that may be used to identify and assess eye movement abnormalities in Parkinson’s disease patients and those at risk of developing Parkinson’s disease. The ultimate aim of this work is to develop an automated diagnostic tool for the diagnosis and assessment of eye gaze abnormalities for people living in rural and remote communities. Patients will be able to record their eye gaze under specified conditions. The recordings will be analysed and eye gaze and analysis sent to a specialist physician. The aim of this study is to ascertain features of the PLR and saccades that are most useful in identifying differences between Parkinson’s disease patients and healthy age-matched controls using a commercially available eye tracker. The hypothesis is that Parkinson’s disease patients will exhibit significantly different eye gaze features compared with healthy age-matched controls.

Interventions

Analysis of features of eye gaze for the diagnosis of Parkinson's disease (PD). A commercial eye tracker (GP3-HD, Gazepoint Canada) will be used to collect data. The device is attached to a laptop screen and placed approximately 65 cm from the participant's eyes. Data are collected face-to-face. For PD patients, data will be collected from a private neurology clinic in Dandenong and from a participating hospital (Goulburn Valley Health), Victoria. For healthy controls, data will also be collecte

Analysis of features of eye gaze for the diagnosis of Parkinson's disease (PD). A commercial eye tracker (GP3-HD, Gazepoint Canada) will be used to collect data. The device is attached to a laptop screen and placed approximately 65 cm from the participant's eyes. Data are collected face-to-face. For PD patients, data will be collected from a private neurology clinic in Dandenong and from a participating hospital (Goulburn Valley Health), Victoria. For healthy controls, data will also be collected at RMIT University and a community setting in Rye, Victoria. Participants will be requested to look at a red filled circle (about 1 cm diameter) centred in the middle of the computer screen. The pupillary light reflex (PLR) is stimulated using different background colours. Participants will first look at the red filled circle with a black background for 20 seconds and then with a white background colour for a further 20 seconds. Participants will sit comfortably in front of the computer screen in an office room with ambient light. The second experiment will collect data using the same commercial eye tracker but for this experiment the experiment measures saccadic eye movements. Here the red filled circle moves horizontally and randomly from one edge of the screen to the other. Participants are asked to follow the red filled circle with their eyes only (no head movement). The duration of this second experiment is approximately 2 minutes. The total time commitment for participants is approximately 15 minutes. All experiments are conducted by the researchers from the School of Engineering, RMIT University.

Sponsors

RMIT University
Lead SponsorUniversity

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1.People diagnosed with Parkinson's disease, as evidenced by Unified Parkinson's disease Rating Scale (UPDRS) scores consistent with minimal to moderate disease 2.Healthy age-matched controls

Exclusion criteria

For Parkinson''s disease participants - diagnosed with other neurodegenerative diseases or stroke; cognitive impairment as evidenced by Montreal Cognitive Assessment (MoCA) score less than 26/30 For healthy controls - diagnosis of any neurodegenerative disease or stroke

Outcome results

None listed

Source: ANZCTR · Data processed: Apr 4, 2026