A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson's disease.

Autor:	de Villers-Sidani É; Innodem Neurosciences, Montreal, QC, Canada.; Montreal Neurological Institute, McGill University, Montreal, QC, Canada., Voss P; Innodem Neurosciences, Montreal, QC, Canada.; Montreal Neurological Institute, McGill University, Montreal, QC, Canada., Guitton D; Montreal Neurological Institute, McGill University, Montreal, QC, Canada., Cisneros-Franco JM; Innodem Neurosciences, Montreal, QC, Canada.; Montreal Neurological Institute, McGill University, Montreal, QC, Canada., Koch NA; Innodem Neurosciences, Montreal, QC, Canada.; Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada., Ducharme S; Montreal Neurological Institute, McGill University, Montreal, QC, Canada.; Douglas Mental Health University Institute, Montreal, QC, Canada.
Jazyk:	angličtina
Zdroj:	Frontiers in neurology [Front Neurol] 2023 Jun 15; Vol. 14, pp. 1204733. Date of Electronic Publication: 2023 Jun 15 (Print Publication: 2023).
DOI:	10.3389/fneur.2023.1204733
Abstrakt:	The idea that eye movements can reflect certain aspects of brain function and inform on the presence of neurodegeneration is not a new one. Indeed, a growing body of research has shown that several neurodegenerative disorders, such as Alzheimer's and Parkinson's Disease, present characteristic eye movement anomalies and that specific gaze and eye movement parameters correlate with disease severity. The use of detailed eye movement recordings in research and clinical settings, however, has been limited due to the expensive nature and limited scalability of the required equipment. Here we test a novel technology that can track and measure eye movement parameters using the embedded camera of a mobile tablet. We show that using this technology can replicate several well-known findings regarding oculomotor anomalies in Parkinson's disease (PD), and furthermore show that several parameters significantly correlate with disease severity as assessed with the MDS-UPDRS motor subscale. A logistic regression classifier was able to accurately distinguish PD patients from healthy controls on the basis of six eye movement parameters with a sensitivity of 0.93 and specificity of 0.86. This tablet-based tool has the potential to accelerate eye movement research via affordable and scalable eye-tracking and aid with the identification of disease status and monitoring of disease progression in clinical settings. Competing Interests: ÉV-S is a co-founder of Innodem Neurosciences, which developed the Eye-Tracking Neurological Assessment (ETNA™) technology used in this study. PV has ownership options in Innodem Neurosciences. JC-F is a part-time employee of Innodem Neurosciences and NK is a research intern at Innodem Neurosciences. SD has previously served as an advisor to Innodem Neurosciences. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 de Villers-Sidani, Voss, Guitton, Cisneros-Franco, Koch and Ducharme.)
Databáze:	MEDLINE
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