Contribution of the Kinematic Theory in the Early Differential Diagnosis of the Parkinson's Disease
brief summary
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.
detailed description
The strength of this study is to compares three refined parametric approaches drawn from functions mediated by very different neuromuscular programs (visually guided voluntary movement control to perform trajectories with the hand or arm versus vocal control) among two groups of patients and a healthy group. Its weakness lies in the lack of multimodal methods to accurately confirm clinical diagnosis and the predictive reliability of patient performance. These modalities are too costly to be included in this project. However, different oculovisual measurement standards such as optical coherence tomography, hyperspectral imaging (OPTINA Diagnostics Inc.), and eye tracking will be used at the School of Optometry, University of Montreal. There is indeed a remodeling of the retina and oculomotor changes in Parkinson's Disease (PD) and these non-invasive techniques, which have been accepted for several years, will be used in patients in support of their clinical diagnosis compared to normal subjects.