Measurement and analysis of eye movements performance to predict healthy brain aging
| Autor: | Irene Pulido Valdeolivas, David Gómez Andrés, Cecilia E. Garcia Cena |
|---|---|
| Přispěvatelé: | Ministerio de Ciencia, Innovación y Universidades (España), García Cena, Cecilia E. [0000-0002-1067-0564], Gómez Andrés, David [0000-0001-5654-7791], Pulido Valdeoliva, Irene [0000-0003-0188-2458], García Cena, Cecilia E., Gómez Andrés, David, Pulido Valdeoliva, Irene |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Aging General Computer Science Disease 050105 experimental psychology Healthy pattern 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation statistical analysis Informed consent Medicine Dementia 0501 psychology and cognitive sciences General Materials Science Brain aging healthy pattern business.industry 05 social sciences General Engineering Eye movement medicine.disease measurement techniques Saccadic masking Cognitive test Statistical analysis Measurement techniques Biomarker (medicine) biomarker lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 030217 neurology & neurosurgery Biomarkers |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname IEEE Access, Vol 8, Pp 87201-87213 (2020) |
| ISSN: | 2015-1101 |
| Popis: | 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. 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. |
| Databáze: | OpenAIRE |
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