Contribution of the Kinematic Theory in the Early Differential Diagnosis of the Parkinson's Disease

Launched by CENTRE HOSPITALIER DE L'UNIVERSITÉ DE MONTRÉAL (CHUM) · Nov 29, 2023

Keywords

ClinConnect Summary

This clinical trial is studying how certain techniques can help doctors tell the difference between people with Parkinson's disease and those who are healthy. Researchers believe that by using automated methods to analyze movement signals, they can identify specific patterns that distinguish patients from healthy older adults. The trial aims to see which of these methods is the most reliable for diagnosing Parkinson's disease early.

To participate, you need to be between 50 and 75 years old and either have been diagnosed with Parkinsonism (which includes Parkinson's disease or similar conditions) for six years or less, or be a healthy volunteer with no history of neurological issues. Participants will undergo various assessments to help researchers gather data on movement and symptoms. It's important to note that individuals with major cognitive disorders or certain neurological conditions will not be eligible for this study.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Being diagnosed with Parkinsonism including idiopathic Parkinson's disease or a related syndrome;
• • Have motor symptoms of Parkinsonism for 6 years or less;
• • Be a healthy volunteer subject in good general health with no prior neurological history;
• • Age between 50-75 years old;
• • If applicable, be able to safely leave home in the morning without having taken antiparkinsonian medication for the past 12 hours.
• Exclusion Criteria:
• • Major neurocognitive disorders;
• • History of other neurological conditions, such as ischemic or hemorrhagic stroke, paralysis of a limb, traumatic brain injury, epilepsy, orofacial dystonia, essential tremor;
• • History of oromandibular or laryngeal procedures;
• • Uncorrected deafness;
• • Any contraindication to pupillary dilation.