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Light-Induced Pupillary Responses in Alzheimer's Disease
The impact of Alzheimer's disease (AD) on the pupillary light response (PLR) is controversial, being dependent on the stage of the disease and on the experimental pupillometric protocols. The main hypothesis driving pupillometry research in AD is based on the concept that the AD-related neurode...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473037/ https://www.ncbi.nlm.nih.gov/pubmed/31031692 http://dx.doi.org/10.3389/fneur.2019.00360 |
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author | Chougule, Pratik S. Najjar, Raymond P. Finkelstein, Maxwell T. Kandiah, Nagaendran Milea, Dan |
author_facet | Chougule, Pratik S. Najjar, Raymond P. Finkelstein, Maxwell T. Kandiah, Nagaendran Milea, Dan |
author_sort | Chougule, Pratik S. |
collection | PubMed |
description | The impact of Alzheimer's disease (AD) on the pupillary light response (PLR) is controversial, being dependent on the stage of the disease and on the experimental pupillometric protocols. The main hypothesis driving pupillometry research in AD is based on the concept that the AD-related neurodegeneration affects both the parasympathetic and the sympathetic arms of the PLR (cholinergic and noradrenergic theory), combined with additional alterations of the afferent limb, involving the melanopsin expressing retinal ganglion cells (mRGCs), subserving the PLR. Only a few studies have evaluated the value of pupillometry as a potential biomarker in AD, providing various results compatible with parasympathetic dysfunction, displaying increased latency of pupillary constriction to light, decreased constriction amplitude, faster redilation after light offset, decreased maximum velocity of constriction (MCV) and maximum constriction acceleration (MCA) compared to controls. Decreased MCV and MCA appeared to be the most accurate of all PLR parameters allowing differentiation between AD and healthy controls while increased post-illumination pupillary response was the most consistent feature, however, these results could not be replicated by more recent studies, focusing on early and pre-clinical stages of the disease. Whether static or dynamic pupillometry yields useful biomarkers for AD screening or diagnosis remains unclear. In this review, we synopsize the current knowledge on pupillometric features in AD and other neurodegenerative diseases, and discuss potential roles of pupillometry in AD detection, diagnosis and monitoring, alone or in combination with additional biomarkers. |
format | Online Article Text |
id | pubmed-6473037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64730372019-04-26 Light-Induced Pupillary Responses in Alzheimer's Disease Chougule, Pratik S. Najjar, Raymond P. Finkelstein, Maxwell T. Kandiah, Nagaendran Milea, Dan Front Neurol Neurology The impact of Alzheimer's disease (AD) on the pupillary light response (PLR) is controversial, being dependent on the stage of the disease and on the experimental pupillometric protocols. The main hypothesis driving pupillometry research in AD is based on the concept that the AD-related neurodegeneration affects both the parasympathetic and the sympathetic arms of the PLR (cholinergic and noradrenergic theory), combined with additional alterations of the afferent limb, involving the melanopsin expressing retinal ganglion cells (mRGCs), subserving the PLR. Only a few studies have evaluated the value of pupillometry as a potential biomarker in AD, providing various results compatible with parasympathetic dysfunction, displaying increased latency of pupillary constriction to light, decreased constriction amplitude, faster redilation after light offset, decreased maximum velocity of constriction (MCV) and maximum constriction acceleration (MCA) compared to controls. Decreased MCV and MCA appeared to be the most accurate of all PLR parameters allowing differentiation between AD and healthy controls while increased post-illumination pupillary response was the most consistent feature, however, these results could not be replicated by more recent studies, focusing on early and pre-clinical stages of the disease. Whether static or dynamic pupillometry yields useful biomarkers for AD screening or diagnosis remains unclear. In this review, we synopsize the current knowledge on pupillometric features in AD and other neurodegenerative diseases, and discuss potential roles of pupillometry in AD detection, diagnosis and monitoring, alone or in combination with additional biomarkers. Frontiers Media S.A. 2019-04-12 /pmc/articles/PMC6473037/ /pubmed/31031692 http://dx.doi.org/10.3389/fneur.2019.00360 Text en Copyright © 2019 Chougule, Najjar, Finkelstein, Kandiah and Milea. 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 | Neurology Chougule, Pratik S. Najjar, Raymond P. Finkelstein, Maxwell T. Kandiah, Nagaendran Milea, Dan Light-Induced Pupillary Responses in Alzheimer's Disease |
title | Light-Induced Pupillary Responses in Alzheimer's Disease |
title_full | Light-Induced Pupillary Responses in Alzheimer's Disease |
title_fullStr | Light-Induced Pupillary Responses in Alzheimer's Disease |
title_full_unstemmed | Light-Induced Pupillary Responses in Alzheimer's Disease |
title_short | Light-Induced Pupillary Responses in Alzheimer's Disease |
title_sort | light-induced pupillary responses in alzheimer's disease |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473037/ https://www.ncbi.nlm.nih.gov/pubmed/31031692 http://dx.doi.org/10.3389/fneur.2019.00360 |
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