Dutch Parkinson, Cognition and Driving Ability study (DUPARC-drive): An explorative study on driving simulator performance in de novo Parkinson's Disease patients.
- Conditions
- ParkinsonParkinson's disease10028037
- Registration Number
- NL-OMON49421
- Lead Sponsor
- niversitair Medisch Centrum Groningen
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- Not specified
- Target Recruitment
- 60
All subjects:
- Dutch speaking
- In possession of a driver's license
- Active driver, i.e. having driven at least 300 kilometres in the last year
- Age 18 to 75 (participants aged 75 years or over will be excluded)
- Willingness to cooperate and sign written informed consent
Patients:
- diagnosis of Parkinson's disease
- disease duration <3 months, measured after time of diagnosis
All subjects:
- Suffering from severe motion sickness (risk factor for simulator sickness)
- Use of category III medication
Patients:
- History of dopaminergic medication use
- Presence of premorbid pathology, i.e. experienced cerebral infarction or
chronic depression, non-related to Parkinson's disease.
Healthy controls:
- History of neurological disorders, which may interfere with cognitive
functioning (e.g. recent concussion, previous subarachnoid or intracerebral
haemorrhage, intracranial tumours, epilepsy, ischemic strokes).
- Presence of psychiatric disorders, i.e. depression or psychosis.
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p>The primary endpoint will be driving simulator performance of de novo PD<br /><br>patients compared to HC, using the standard deviation of the lateral position<br /><br>(SDLP) during Swing Drive part 1 as primary variable. </p><br>
- Secondary Outcome Measures
Name Time Method <p>Secondary endpoints will be other driving simulator variables (e.g. speed,<br /><br>percentage of lane crossing, reaction time to triggered events and number of<br /><br>violations) and the identification of correlates between SDLP and potential<br /><br>predictors, i.e. neuropsychological test scores and motor scores. </p><br>