2024, Volume 17, Issue 3, pp 360 – 367

Eye tracking assessment of Parkinson’s disease: a clinical retrospective analysis

SCImago Journal & Country Rank

Issues

Special Issues

Authors and Affiliations

Corresponding author Emanuel ŞtefŞnescu Department of Neuroscience, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania RoNeuro Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania E-mail: emanuel.stefanescu@brainscience.ro

Abstract

Parkinson’s disease (PD) presents a significant clinical challenge due to its profound motor and cognitive impacts. Early diagnosis is crucial for implementing effective, stage-based treatment strategies. Recently, eye-tracking technology has emerged as a promising tool for the non-invasive diagnosis and monitoring of various neurological disorders, including PD. This retrospective study analyzed eye-tracking parameters, specifically visually-guided saccades (VGS), in PD patients within a clinical setting. We reviewed eye-tracking data from 62 PD patients, focusing on eye movement performance in horizontal and vertical VGS tasks. Our findings revealed significant correlations between demographic profiles, Mini-Mental State Examination (MMSE) scores, pattern recognition, and spatial working memory tests with saccadic performance in PD patients. Despite the retrospective nature of the study, our results support the potential of eye-tracking technology as a valuable diagnostic tool in PD assessment and monitoring. Future research should prioritize longitudinal studies and more comprehensive assessments to further understand and enhance the clinical application of eye-tracking in PD.

Keywords

About this article

PMC ID: 11262608
PubMed ID: 
DOI: 10.25122/jml-2024-0270

Article Publishing Date (print): 3 2024
Available Online: 

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.


SCImago Journal & Country Rank

Issues

Special Issues