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Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software

A growing body of evidence supports the link between eye movement anomalies and brain health. Indeed, the oculomotor system is composed of a diverse network of cortical and subcortical structures and circuits that are susceptible to a variety of degenerative processes. Here we show preliminary findi...

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Autores principales: de Villers-Sidani, Étienne, Voss, Patrice, Bastien, Natacha, Cisneros-Franco, J. Miguel, Hussein, Shamiza, Mayo, Nancy E., Koch, Nils A., Drouin-Picaro, Alexandre, Blanchette, François, Guitton, Daniel, Giacomini, Paul S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516298/
https://www.ncbi.nlm.nih.gov/pubmed/37745656
http://dx.doi.org/10.3389/fneur.2023.1243594
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author de Villers-Sidani, Étienne
Voss, Patrice
Bastien, Natacha
Cisneros-Franco, J. Miguel
Hussein, Shamiza
Mayo, Nancy E.
Koch, Nils A.
Drouin-Picaro, Alexandre
Blanchette, François
Guitton, Daniel
Giacomini, Paul S.
author_facet de Villers-Sidani, Étienne
Voss, Patrice
Bastien, Natacha
Cisneros-Franco, J. Miguel
Hussein, Shamiza
Mayo, Nancy E.
Koch, Nils A.
Drouin-Picaro, Alexandre
Blanchette, François
Guitton, Daniel
Giacomini, Paul S.
author_sort de Villers-Sidani, Étienne
collection PubMed
description A growing body of evidence supports the link between eye movement anomalies and brain health. Indeed, the oculomotor system is composed of a diverse network of cortical and subcortical structures and circuits that are susceptible to a variety of degenerative processes. Here we show preliminary findings from the baseline measurements of an ongoing longitudinal cohort study in MS participants, designed to determine if disease and cognitive status can be estimated and tracked with high accuracy based on eye movement parameters alone. Using a novel gaze-tracking technology that can reliably and accurately track eye movements with good precision without the need for infrared cameras, using only an iPad Pro embedded camera, we show in this cross-sectional study that several eye movement parameters significantly correlated with clinical outcome measures of interest. Eye movement parameters were extracted from fixation, pro-saccade, anti-saccade, and smooth pursuit visual tasks, whereas the clinical outcome measures were the scores of several disease assessment tools and standard cognitive tests such as the Expanded Disability Status Scale (EDSS), Brief International Cognitive Assessment for MS (BICAMS), the Multiple Sclerosis Functional Composite (MSFC) and the Symbol Digit Modalities Test (SDMT). Furthermore, partial least squares regression analyses show that a small set of oculomotor parameters can explain up to 84% of the variance of the clinical outcome measures. Taken together, these findings not only replicate previously known associations between eye movement parameters and clinical scores, this time using a novel mobile-based technology, but also the notion that interrogating the oculomotor system with a novel eye-tracking technology can inform us of disease severity, as well as the cognitive status of MS participants.
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spelling pubmed-105162982023-09-23 Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software de Villers-Sidani, Étienne Voss, Patrice Bastien, Natacha Cisneros-Franco, J. Miguel Hussein, Shamiza Mayo, Nancy E. Koch, Nils A. Drouin-Picaro, Alexandre Blanchette, François Guitton, Daniel Giacomini, Paul S. Front Neurol Neurology A growing body of evidence supports the link between eye movement anomalies and brain health. Indeed, the oculomotor system is composed of a diverse network of cortical and subcortical structures and circuits that are susceptible to a variety of degenerative processes. Here we show preliminary findings from the baseline measurements of an ongoing longitudinal cohort study in MS participants, designed to determine if disease and cognitive status can be estimated and tracked with high accuracy based on eye movement parameters alone. Using a novel gaze-tracking technology that can reliably and accurately track eye movements with good precision without the need for infrared cameras, using only an iPad Pro embedded camera, we show in this cross-sectional study that several eye movement parameters significantly correlated with clinical outcome measures of interest. Eye movement parameters were extracted from fixation, pro-saccade, anti-saccade, and smooth pursuit visual tasks, whereas the clinical outcome measures were the scores of several disease assessment tools and standard cognitive tests such as the Expanded Disability Status Scale (EDSS), Brief International Cognitive Assessment for MS (BICAMS), the Multiple Sclerosis Functional Composite (MSFC) and the Symbol Digit Modalities Test (SDMT). Furthermore, partial least squares regression analyses show that a small set of oculomotor parameters can explain up to 84% of the variance of the clinical outcome measures. Taken together, these findings not only replicate previously known associations between eye movement parameters and clinical scores, this time using a novel mobile-based technology, but also the notion that interrogating the oculomotor system with a novel eye-tracking technology can inform us of disease severity, as well as the cognitive status of MS participants. Frontiers Media S.A. 2023-09-06 /pmc/articles/PMC10516298/ /pubmed/37745656 http://dx.doi.org/10.3389/fneur.2023.1243594 Text en Copyright © 2023 de Villers-Sidani, Voss, Bastien, Cisneros-Franco, Hussein, Mayo, Koch, Drouin-Picaro, Blanchette, Guitton and Giacomini. 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
Bastien, Natacha
Cisneros-Franco, J. Miguel
Hussein, Shamiza
Mayo, Nancy E.
Koch, Nils A.
Drouin-Picaro, Alexandre
Blanchette, François
Guitton, Daniel
Giacomini, Paul S.
Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software
title Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software
title_full Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software
title_fullStr Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software
title_full_unstemmed Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software
title_short Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software
title_sort oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516298/
https://www.ncbi.nlm.nih.gov/pubmed/37745656
http://dx.doi.org/10.3389/fneur.2023.1243594
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