Light-Induced Pupillary Responses in Alzheimer's Disease.

Alzheimer's disease Parkinson's disease cholinergic deficit chromatic pupillometry dementia melanopsin expressing intrinsically photosensitive retinal ganglion cells post -llumination pupil response pupillary light response

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2019
Historique:
received: 12 11 2018
accepted: 25 03 2019
entrez: 30 4 2019
pubmed: 30 4 2019
medline: 30 4 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31031692
doi: 10.3389/fneur.2019.00360
pmc: PMC6473037
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

360

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Auteurs

Pratik S Chougule (PS)

Department of Visual Neurosciences, Singapore Eye Research Institute, Singapore, Singapore.

Raymond P Najjar (RP)

Department of Visual Neurosciences, Singapore Eye Research Institute, Singapore, Singapore.
The Ophthalmology & Visual Sciences ACP, Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore.

Maxwell T Finkelstein (MT)

Department of Visual Neurosciences, Singapore Eye Research Institute, Singapore, Singapore.

Nagaendran Kandiah (N)

Department of Neurology, National Neuroscience Institute, Singapore, Singapore.
Duke-National University of Singapore (NUS), Singapore, Singapore.

Dan Milea (D)

Department of Visual Neurosciences, Singapore Eye Research Institute, Singapore, Singapore.
The Ophthalmology & Visual Sciences ACP, Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore.
Singapore National Eye Centre, Singapore, Singapore.

Classifications MeSH