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Connectivity of pathology: the olfactory system as a model for network-driven mechanisms of Alzheimer’s disease pathogenesis


Franks, K and Chuah, MI and King, AE and Vickers, JC, Connectivity of pathology: the olfactory system as a model for network-driven mechanisms of Alzheimer's disease pathogenesis, Frontiers in Aging Neuroscience, 7 Article 234. ISSN 1663-4365 (2015) [Refereed Article]


Copyright Statement

Copyright 2015 The Authors Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.3389/fnagi.2015.00234


The pathogenesis of Alzheimer’s disease (AD) has been postulated to preferentially impact specific neural networks in the brain. The olfactory system is a well-defined network that has been implicated in early stages of the disease, marked by impairment in olfaction and the presence of pathological hallmarks of the disease, even before clinical presentation. Discovering the cellular mechanisms involved in the connectivity of pathology will provide insight into potential targets for treatment. We review evidence from animal studies on sensory alteration through denervation or enrichment, which supports the notion of using the olfactory system to investigate the implications of connectivity and activity in the spread of pathology in AD.

Item Details

Item Type:Refereed Article
Keywords:Alzheimer’s disease, olfaction, denervation, enrichment, connectivity, amyloid beta
Research Division:Biomedical and Clinical Sciences
Research Group:Neurosciences
Research Field:Cellular nervous system
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Franks, K (Miss Katherine Franks)
UTAS Author:Chuah, MI (Associate Professor Inn Chuah)
UTAS Author:King, AE (Professor Anna King)
UTAS Author:Vickers, JC (Professor James Vickers)
ID Code:109976
Year Published:2015
Web of Science® Times Cited:24
Deposited By:Wicking Dementia Research and Education Centre
Deposited On:2016-07-09
Last Modified:2017-11-06
Downloads:166 View Download Statistics

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