Complex Eye Movements in Parkinson's Disease and Related Movement Disorders

May 3, 2022 updated by: Saccadous, Inc.

Diagnosing Parkinson's disease (PD) depends on the clinical history of the patient and the patient's response to specific treatments such as levodopa. Unfortunately, a definitive diagnosis of PD is still limited to post-mortem evaluation of brain tissues. Furthermore, diagnosis of idiopathic PD is even more challenging because symptoms of PD overlap with symptoms of other conditions such as essential tremor (ET) or Parkinsonian syndromes (PSs) such as progressive supranuclear palsy (PSP), multiple system atrophy (MSA), corticobasal degeneration (CBD), or vascular Parkinsonism (VaP). Based on the principle that PD and PSs affect brain areas involved in eye movement control, this trial will utilize a platform that records complex eye movements and use a proprietary algorithm to characterize PSs. Preliminary data demonstrate that by monitoring oculomotor alterations, the process can assign PD-specific oculomotor patterns, which have the potential to serve as a diagnostic tool for PD.

This study will evaluate capabilities of the process and its ability to differentiate PD from other PSs with statistical significance. The specific aims of this proposal are: To optimize the detection and analysis algorithms, and then to evaluate the process against neurological diagnoses of PD patients in a clinical study.

Study Overview

Detailed Description

In the Phase I, complex eye movements, including Fixation, Optokinetic Nystagmus (OKN), Guided Saccades, Microsaccades, Smooth Pursuit, and Pupillometry will be measured in 90 subjects (30 PD, 30 non-PD with other movement disorders (PSP, ET, CBD, etc.), and 30 normal defined as not having any symptoms of any neurological condition.) The patients will be classified according to clinical evaluations and clinical follow ups performed by Dr. Holly Shill, Director of the Lonnie and Muhammad Ali Parkinson Center at the Barrow Neurological Institute (Phoenix, AZ). A 3-way analysis will be performed to troubleshoot and optimize the detection and classification algorithms. At this stage, these results will only be used for the evaluation of the diagnostic capability of the tool and not to treat or diagnose the patient. The product is portable with the potential to be an accurate tool to diagnose PD. This tool will provide substantial support to neurologists by validating or complementing the clinical tests currently used to diagnose PD. Successful diagnosis of PD can open new avenues for diagnosing other neurological conditions.

Study Type

Observational

Enrollment (Actual)

90

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Arizona
      • Phoenix, Arizona, United States, 85013
        • Dignity Health / St. Joseph's Hospital and Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

30 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Community Sample

Description

Inclusion Criteria:

  • Patients assigned to PD or non-PD group based on medical records
  • Control participants will be without previous diagnosis of a movement disorder
  • Experimental groups and normal controls matched by age and gender

Exclusion Criteria:

  • Severe drug/alcohol use
  • Severe medical problems (e.g. terminal cancer)
  • Macular degeneration
  • Inability to consent
  • Patients at 4 or more on the Hoehn-Yahr scale
  • Inability to complete experimental protocol

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Control
No symptoms of neurological condition

Subjects will undergo a complex eye exam which will capture fixation, optokinetic nystagmus, guided saccades, microsaccades, smooth pursuit, and pupillometry.

Eye tracking equipment will be set and calibrated to the participant who will then perform the full 10 minute testing protocol with instructions from the investigator. After this, they will take a five minute break. The oculomotor testing protocol will be repeated twice.

Parkinson's disease
Parkinson's disease diagnosis

Subjects will undergo a complex eye exam which will capture fixation, optokinetic nystagmus, guided saccades, microsaccades, smooth pursuit, and pupillometry.

Eye tracking equipment will be set and calibrated to the participant who will then perform the full 10 minute testing protocol with instructions from the investigator. After this, they will take a five minute break. The oculomotor testing protocol will be repeated twice.

Non-PD Movement disorder
Non-PD with other movement disorder such as progressive supranuclear palsy, multiple system atrophy, essential tremor, corticobasal degeneration, vascular Parkinsonism, or Parkinsonian syndromes

Subjects will undergo a complex eye exam which will capture fixation, optokinetic nystagmus, guided saccades, microsaccades, smooth pursuit, and pupillometry.

Eye tracking equipment will be set and calibrated to the participant who will then perform the full 10 minute testing protocol with instructions from the investigator. After this, they will take a five minute break. The oculomotor testing protocol will be repeated twice.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Percent of patients accurately diagnosed with SaccadeDX
Time Frame: One test (approx. 1 hour)

The primary outcome measure will be accurate diagnosis in over 75% of patients; accuracy will be determined with statistical significance.

Each eye movement test will produce a unique signature. Using a historical database and machine learning, the SaccadeDX algorithm will match the signature to a specific patient group (PD, non-PD movement disorder, control) resulting in a "SaccadeDX diagnosis". Once the patients are fully enrolled, the SaccadeDX diagnosis will be compared to the diagnosis previously made by the sub-investigator. Accurate diagnosis will be defined as a SaccadeDX diagnosis that matches the initial diagnosis provided by the sub-investigator.

One test (approx. 1 hour)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Hector Rieiro, PhD, Saccadous Chief Technology Officer

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 4, 2021

Primary Completion (Actual)

April 15, 2022

Study Completion (Actual)

April 15, 2022

Study Registration Dates

First Submitted

June 1, 2021

First Submitted That Met QC Criteria

June 7, 2021

First Posted (Actual)

June 14, 2021

Study Record Updates

Last Update Posted (Actual)

May 4, 2022

Last Update Submitted That Met QC Criteria

May 3, 2022

Last Verified

May 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Proprietary and competitive data

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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