Non-invasive Diagnosis of Parkinson's Disease Using Hyperspectral Retinal Imaging, Optical Coherence Tomography, Computerized Cognitive Testing, and Voice Analysis

This study aims to improve how Parkinson's disease is diagnosed by testing new, non-invasive techniques that do not require spinal taps or other invasive procedures. Researchers are investigating whether changes in the eye's retina, detected with hyperspectral imaging and optical coherence tomography (OCT), can help pinpoint Parkinson's disease. These methods use special photographs and scans, similar to those performed at an eye clinic or optometrist, to analyze patterns linked to nerve cells and blood vessels in the retina.

Additionally, participants will take computerized tests to measure memory, attention, and thinking skills. Since Parkinson's disease can also affect speech, the study will analyze voice recordings for specific changes that are common in the disease, such as reduced volume and strength. By combining information from eye images, cognitive tests, and voice analysis, the project hopes to develop a faster and more accurate way to diagnose Parkinson's disease at an earlier stage.

The study is open to both people with Parkinson's disease and healthy volunteers, and the new diagnostic tools being tested could make future diagnosis simpler, more comfortable, and accessible to a wider population