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http://hdl.handle.net/10261/215799
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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | García Cena, Cecilia | es_ES |
dc.contributor.author | Gómez Andrés, David | es_ES |
dc.contributor.author | Pulido Valdeoliva, Irene | es_ES |
dc.date.accessioned | 2020-07-01T13:00:59Z | - |
dc.date.available | 2020-07-01T13:00:59Z | - |
dc.date.issued | 2020-05-04 | - |
dc.identifier.citation | IEEE Access 8: 87201-87213 (2020) | es_ES |
dc.identifier.uri | http://hdl.handle.net/10261/215799 | - |
dc.description.abstract | Objective: This article presents the healthy pattern of eye movements (EM) in 145 healthy volunteers from 20 to 86 years old. Volunteers were classi ed into four groups according to their age. A saccadic paradigm, in horizontal and vertical axes, was performed. We described a pattern behavior in healthy volunteers to demonstrate that it can be used to measure the aging and functionality of the brain. Methods: A gaze-tracker based in video-oculography technology was used. Before EM tests, clinical data were collected, participants performed a cognitive test to discard subtle abnormalities and signed an informed consent form. To demonstrate the relationship between EM and brain aging, a linear or quadratic model was computed and statistical analysis among groups was presented. Conclusion: EM variables could be considered as biomarkers to measure the aging effect and functionality of the brain. Video-oculography is a suitable technique for measuring EM in clinical practice. Signi cance: The ocular healthy pattern as well as the methodology followed in this clinical study, is the base for ongoing studies aiming to incorporate EM analysis at routine practice as markers in early diagnosis for patients with neurodegenerative diseases like Alzheimer's dementia or Parkinson's disease. | es_ES |
dc.description.sponsorship | This study was supported by the Science, Innovation and University Minister under Grant SNEO 20151101, Spain Government. The authors are most grateful to all healthy volunteers that participated in this study. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.isversionof | Publisher's version | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | Aging | es_ES |
dc.subject | Biomarkers | es_ES |
dc.subject | Measurement techniques | es_ES |
dc.subject | Statistical analysis | es_ES |
dc.subject | Healthy pattern | es_ES |
dc.title | Measurement and analysis of eye movements performance to predict healthy brain aging | es_ES |
dc.type | artículo | es_ES |
dc.identifier.doi | 10.1109/ACCESS.2020.2992254 | - |
dc.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1109/ACCESS.2020.2992254 | es_ES |
dc.identifier.e-issn | 2169-3536 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/ | es_ES |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (España) | es_ES |
dc.relation.csic | Sí | es_ES |
oprm.item.hasRevision | no ko 0 false | * |
dc.contributor.orcid | García Cena, Cecilia E. [0000-0002-1067-0564] | es_ES |
dc.contributor.orcid | Gómez Andrés, David [0000-0001-5654-7791] | es_ES |
dc.contributor.orcid | Pulido Valdeoliva, Irene [0000-0003-0188-2458] | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | artículo | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
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Healthy_brain_aging.pdf | Artículo principal | 3,66 MB | Adobe PDF | Visualizar/Abrir |
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