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

Completed
Conditions
Progressive Supranuclear Palsy
Essential Tremor
Multiple System Atrophy, Parkinson Variant
Parkinsonian Syndrome
Corticobasal Degeneration
Parkinsonian Disorders
Huntington Disease
Parkinson's Disease and Parkinsonism
Parkinson Disease
Vascular Parkinsonism
Interventions
Diagnostic Test: Complex eye movement exam
Registration Number
NCT04925622
Lead Sponsor
Saccadous, Inc.
Brief Summary

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.

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.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
90
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 & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
ControlComplex eye movement examNo symptoms of neurological condition
Parkinson's diseaseComplex eye movement examParkinson's disease diagnosis
Non-PD Movement disorderComplex eye movement examNon-PD with other movement disorder such as progressive supranuclear palsy, multiple system atrophy, essential tremor, corticobasal degeneration, vascular Parkinsonism, or Parkinsonian syndromes
Primary Outcome Measures
NameTimeMethod
Percent of patients accurately diagnosed with SaccadeDXOne 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.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Dignity Health / St. Joseph's Hospital and Medical Center

🇺🇸

Phoenix, Arizona, United States

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