The Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer’s Disease: A Review

Extensive research has demonstrated that eye-tracking tasks can effectively indicate cognitive impairment. For example, lab-based eye-tracking tasks, such as the antisaccade task, have robustly distinguished between people with Alzheimer’s disease (AD) and healthy older adults. Due to the neurodegen...

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Autores principales: Megan Rose Readman, Megan Polden, Melissa Chloe Gibbs, Lettie Wareing, Trevor J. Crawford
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:add28735b12a43acb97e95c4533aa9532021-11-25T16:58:35ZThe Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer’s Disease: A Review10.3390/brainsci111115032076-3425https://doaj.org/article/add28735b12a43acb97e95c4533aa9532021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3425/11/11/1503https://doaj.org/toc/2076-3425Extensive research has demonstrated that eye-tracking tasks can effectively indicate cognitive impairment. For example, lab-based eye-tracking tasks, such as the antisaccade task, have robustly distinguished between people with Alzheimer’s disease (AD) and healthy older adults. Due to the neurodegeneration associated with AD, people with AD often display extended saccade latencies and increased error rates on eye-tracking tasks. Although the effectiveness of using eye tracking to identify cognitive impairment appears promising, research considering the utility of eye tracking during naturalistic tasks, such as reading, in identifying cognitive impairment is limited. The current review identified 39 articles assessing eye-tracking distinctions between people with AD, mild cognitive impairment (MCI), and healthy controls when completing naturalistic task (reading, real-life simulations, static image search) or a goal-directed task involving naturalistic stimuli. The results revealed that naturalistic tasks show promising biomarkers and distinctions between healthy older adults and AD participants, and therefore show potential to be used for diagnostic and monitoring purposes. However, only twelve articles included MCI participants and assessed the sensitivity of measures to detect cognitive impairment in preclinical stages. In addition, the review revealed inconsistencies within the literature, particularly when assessing reading tasks. We urge researchers to expand on the current literature in this area and strive to assess the robustness and sensitivity of eye-tracking measures in both AD and MCI populations on naturalistic tasks.Megan Rose ReadmanMegan PoldenMelissa Chloe GibbsLettie WareingTrevor J. CrawfordMDPI AGarticleAlzheimer’s diseasemild cognitive impairmenteye trackingnaturalistic eye movement taskscognitive impairmentNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Sciences, Vol 11, Iss 1503, p 1503 (2021)
institution DOAJ
collection DOAJ
language EN
topic Alzheimer’s disease
mild cognitive impairment
eye tracking
naturalistic eye movement tasks
cognitive impairment
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle Alzheimer’s disease
mild cognitive impairment
eye tracking
naturalistic eye movement tasks
cognitive impairment
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Megan Rose Readman
Megan Polden
Melissa Chloe Gibbs
Lettie Wareing
Trevor J. Crawford
The Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer’s Disease: A Review
description Extensive research has demonstrated that eye-tracking tasks can effectively indicate cognitive impairment. For example, lab-based eye-tracking tasks, such as the antisaccade task, have robustly distinguished between people with Alzheimer’s disease (AD) and healthy older adults. Due to the neurodegeneration associated with AD, people with AD often display extended saccade latencies and increased error rates on eye-tracking tasks. Although the effectiveness of using eye tracking to identify cognitive impairment appears promising, research considering the utility of eye tracking during naturalistic tasks, such as reading, in identifying cognitive impairment is limited. The current review identified 39 articles assessing eye-tracking distinctions between people with AD, mild cognitive impairment (MCI), and healthy controls when completing naturalistic task (reading, real-life simulations, static image search) or a goal-directed task involving naturalistic stimuli. The results revealed that naturalistic tasks show promising biomarkers and distinctions between healthy older adults and AD participants, and therefore show potential to be used for diagnostic and monitoring purposes. However, only twelve articles included MCI participants and assessed the sensitivity of measures to detect cognitive impairment in preclinical stages. In addition, the review revealed inconsistencies within the literature, particularly when assessing reading tasks. We urge researchers to expand on the current literature in this area and strive to assess the robustness and sensitivity of eye-tracking measures in both AD and MCI populations on naturalistic tasks.
format article
author Megan Rose Readman
Megan Polden
Melissa Chloe Gibbs
Lettie Wareing
Trevor J. Crawford
author_facet Megan Rose Readman
Megan Polden
Melissa Chloe Gibbs
Lettie Wareing
Trevor J. Crawford
author_sort Megan Rose Readman
title The Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer’s Disease: A Review
title_short The Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer’s Disease: A Review
title_full The Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer’s Disease: A Review
title_fullStr The Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer’s Disease: A Review
title_full_unstemmed The Potential of Naturalistic Eye Movement Tasks in the Diagnosis of Alzheimer’s Disease: A Review
title_sort potential of naturalistic eye movement tasks in the diagnosis of alzheimer’s disease: a review
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/add28735b12a43acb97e95c4533aa953
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