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

Healthy | Parkinson Disease | Parkinsonian Syndromes

The working hypotheses are as follows: #1 The processing of performance signals by automated lognormal segmentation and the extraction of the parameters of interest will make it possible to distinguish groups of patients from healthy elderly subjects. #2 The three instrumental approaches will not have the same degree of reliability as a predictive biomarker of clinical diagnosis established by consensus.

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Conditions de participation

  • Sexe:

    ALL

  • Âges admissibles:

    50 to 75

Critères de participation

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.

Lieu de l'étude

CHUM/Université de Montréal
CHUM/Université de Montréal
Montréal, Quebec
Canada

Contactez l'équipe d'étude

Primary Contact

Pierre Blanchet, MD

[email protected]
514-890-8000
Étude parrainée par
Centre hospitalier de l'Université de Montréal (CHUM)
Participants recherchés
Plus d'informations
ID de l'étude: NCT06161636