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Reduced Retinal Thickness Predicts Age-Related Changes in Cognitive Function
Currently, there is a lack of biomarkers to identify individuals in the early stages of Alzheimer’s disease (AD). A preponderance of evidence suggests that neurodegenerative processes that affect the brain, may also affect the retina. Using optical coherence tomography (OCT), a non-invasive approach...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109392/ https://www.ncbi.nlm.nih.gov/pubmed/32269521 http://dx.doi.org/10.3389/fnagi.2020.00081 |
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author | Mammadova, Najiba Neppl, Tricia K. Denburg, Natalie L. West Greenlee, M. Heather |
author_facet | Mammadova, Najiba Neppl, Tricia K. Denburg, Natalie L. West Greenlee, M. Heather |
author_sort | Mammadova, Najiba |
collection | PubMed |
description | Currently, there is a lack of biomarkers to identify individuals in the early stages of Alzheimer’s disease (AD). A preponderance of evidence suggests that neurodegenerative processes that affect the brain, may also affect the retina. Using optical coherence tomography (OCT), a non-invasive approach, many have shown thinning of the retina in AD and the developmental precursor to AD, mild cognitive impairment (MCI). However, the relationship between retinal thickness and cognitive function is not entirely clear. This is likely due to the disparity in diagnostic criteria used to determine MCI that does not fully probe the cognitive domains that are particularly vulnerable to aging. This study used a comprehensive neuropsychological assessment involving multiple domains of cognition to determine if retinal thickness correlates with cognitive performance in a normal aged population. In this study, 20 healthy individuals between 60 and 90 years of age were administered neuropsychological assessments probing various domains of cognitive function, and OCT to measure peripapillary retinal nerve fiber layer (RNFL) thickness. We found that RNFL thickness is correlated with neuropsychological performance in multiple cognitive domains (e.g., working memory, psychomotor speed, and executive function). Our work demonstrates a positive correlation between RNFL thickness and several, but not all, domains of cognitive function in a normative aging population. By determining which cognitive domains retinal thickness can predict, this work can help identify individuals at risk or in preclinical stages of AD and other neurodegenerative diseases. |
format | Online Article Text |
id | pubmed-7109392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71093922020-04-08 Reduced Retinal Thickness Predicts Age-Related Changes in Cognitive Function Mammadova, Najiba Neppl, Tricia K. Denburg, Natalie L. West Greenlee, M. Heather Front Aging Neurosci Neuroscience Currently, there is a lack of biomarkers to identify individuals in the early stages of Alzheimer’s disease (AD). A preponderance of evidence suggests that neurodegenerative processes that affect the brain, may also affect the retina. Using optical coherence tomography (OCT), a non-invasive approach, many have shown thinning of the retina in AD and the developmental precursor to AD, mild cognitive impairment (MCI). However, the relationship between retinal thickness and cognitive function is not entirely clear. This is likely due to the disparity in diagnostic criteria used to determine MCI that does not fully probe the cognitive domains that are particularly vulnerable to aging. This study used a comprehensive neuropsychological assessment involving multiple domains of cognition to determine if retinal thickness correlates with cognitive performance in a normal aged population. In this study, 20 healthy individuals between 60 and 90 years of age were administered neuropsychological assessments probing various domains of cognitive function, and OCT to measure peripapillary retinal nerve fiber layer (RNFL) thickness. We found that RNFL thickness is correlated with neuropsychological performance in multiple cognitive domains (e.g., working memory, psychomotor speed, and executive function). Our work demonstrates a positive correlation between RNFL thickness and several, but not all, domains of cognitive function in a normative aging population. By determining which cognitive domains retinal thickness can predict, this work can help identify individuals at risk or in preclinical stages of AD and other neurodegenerative diseases. Frontiers Media S.A. 2020-03-24 /pmc/articles/PMC7109392/ /pubmed/32269521 http://dx.doi.org/10.3389/fnagi.2020.00081 Text en Copyright © 2020 Mammadova, Neppl, Denburg and West Greenlee. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Mammadova, Najiba Neppl, Tricia K. Denburg, Natalie L. West Greenlee, M. Heather Reduced Retinal Thickness Predicts Age-Related Changes in Cognitive Function |
title | Reduced Retinal Thickness Predicts Age-Related Changes in Cognitive Function |
title_full | Reduced Retinal Thickness Predicts Age-Related Changes in Cognitive Function |
title_fullStr | Reduced Retinal Thickness Predicts Age-Related Changes in Cognitive Function |
title_full_unstemmed | Reduced Retinal Thickness Predicts Age-Related Changes in Cognitive Function |
title_short | Reduced Retinal Thickness Predicts Age-Related Changes in Cognitive Function |
title_sort | reduced retinal thickness predicts age-related changes in cognitive function |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109392/ https://www.ncbi.nlm.nih.gov/pubmed/32269521 http://dx.doi.org/10.3389/fnagi.2020.00081 |
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