University of Oulu

Wilcockson TD, Mardanbegi D, Xia B, Taylor S, Sawyer P, Gellersen HW, Leroi I, Killick R, Crawford TJ. Abnormalities of saccadic eye movements in dementia due to Alzheimer’s disease and mild cognitive impairment. Aging (Albany NY). 2019; 11:5389-5398. https://doi.org/10.18632/aging.102118

Abnormalities of saccadic eye movements in dementia due to Alzheimer’s disease and mild cognitive impairment

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Author: Wilcockson, Thomas D.W.1,2; Mardanbegi, Diako3; Xia, Baiqiang4;
Organizations: 1School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
2Psychology Department, Lancaster University, Lancaster, UK
3Computing and Communications Department, Lancaster University, Lancaster, UK
4Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
5Maths and Statistics Department, Lancaster University, Lancaster, UK
6Engineering & Applied Science, Aston University, Birmingham, UK
7Global Brain Health Institute, Trinity College, Dublin, Ireland
8Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
9Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202003097630
Language: English
Published: Impact Journals, 2019
Publish Date: 2020-03-09
Description:

Abstract

Background: There is increasing evidence that people in the early stages of Alzheimer’s disease (AD) have subtle impairments in cognitive inhibition that can be detected by using relatively simple eye-tracking paradigms, but these subtle impairments are often missed by traditional cognitive assessments. People with mild cognitive impairment (MCI) are at an increased likelihood of dementia due to AD. No study has yet investigated and contrasted the MCI subtypes in relation to eye movement performance.

Methods: In this work we explore whether eye-tracking impairments can distinguish between patients with the amnesic and the non-amnesic variants of MCI. Participants were 68 people with dementia due to AD, 42 had a diagnosis of aMCI, and 47 had a diagnosis of naMCI, and 92 age-matched cognitively healthy controls.

Results: The findings revealed that eye-tracking can distinguish between the two forms of MCI. Conclusions: The work provides further support for eye-tracking as a useful diagnostic biomarker in the assessment of dementia.

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Series: Aging
ISSN: 1945-4589
ISSN-E: 1945-4589
ISSN-L: 1945-4589
Volume: 11
Issue: 15
Pages: 5389 - 5398
DOI: 10.18632/aging.102118
OADOI: https://oadoi.org/10.18632/aging.102118
Type of Publication: A1 Journal article – refereed
Field of Science: 3124 Neurology and psychiatry
213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: The work described in this paper is funded by EPSRC project EP/M006255/1 Monitoring Of Dementia using Eye Movements (MODEM) and with support from the Sir John Fisher Foundation. We are grateful to Megan Polden, Nadia Maalin, and Claire Kelly for their help with data collection and to Joel Leakey.
Copyright information: © 2019 Wilcockson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
  https://creativecommons.org/licenses/by/3.0/