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Measurement and analysis of eye movements performance to predict healthy brain aging

AuthorsGarcía Cena, Cecilia E.; Gómez Andrés, David; Pulido Valdeoliva, Irene
Measurement techniques
Statistical analysis
Healthy pattern
Issue Date4-May-2020
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Access 8: 87201-87213 (2020)
AbstractObjective: 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.
Publisher version (URL)http://dx.doi.org/10.1109/ACCESS.2020.2992254
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