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

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 m...

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Autores principales: de Villers-Sidani, Étienne, Voss, Patrice, Guitton, Daniel, Cisneros-Franco, J. Miguel, Koch, Nils A., Ducharme, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310943/
https://www.ncbi.nlm.nih.gov/pubmed/37396780
http://dx.doi.org/10.3389/fneur.2023.1204733
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author de Villers-Sidani, Étienne
Voss, Patrice
Guitton, Daniel
Cisneros-Franco, J. Miguel
Koch, Nils A.
Ducharme, Simon
author_facet de Villers-Sidani, Étienne
Voss, Patrice
Guitton, Daniel
Cisneros-Franco, J. Miguel
Koch, Nils A.
Ducharme, Simon
author_sort de Villers-Sidani, Étienne
collection PubMed
description 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.
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spelling pubmed-103109432023-07-01 A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease de Villers-Sidani, Étienne Voss, Patrice Guitton, Daniel Cisneros-Franco, J. Miguel Koch, Nils A. Ducharme, Simon Front Neurol Neurology 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. Frontiers Media S.A. 2023-06-15 /pmc/articles/PMC10310943/ /pubmed/37396780 http://dx.doi.org/10.3389/fneur.2023.1204733 Text en Copyright © 2023 de Villers-Sidani, Voss, Guitton, Cisneros-Franco, Koch and Ducharme. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
de Villers-Sidani, Étienne
Voss, Patrice
Guitton, Daniel
Cisneros-Franco, J. Miguel
Koch, Nils A.
Ducharme, Simon
A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease
title A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease
title_full A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease
title_fullStr A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease
title_full_unstemmed A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease
title_short A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson’s disease
title_sort novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in parkinson’s disease
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310943/
https://www.ncbi.nlm.nih.gov/pubmed/37396780
http://dx.doi.org/10.3389/fneur.2023.1204733
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