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Unraveling Early Signs of Navigational Impairment in APPswe/PS1dE9 Mice Using Morris Water Maze

Karunakaran, S (2020) Unraveling Early Signs of Navigational Impairment in APPswe/PS1dE9 Mice Using Morris Water Maze. In: Frontiers in Neuroscience, 14 .

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Official URL: https://dx.doi.org/10.3389/fnins.2020.568200

Abstract

Mild behavioral deficits, which are part of normal aging, can be early indicators of an impending Alzheimer's disease. Using the APPswe/PS1dE9 (APP/PS1) mouse model of Alzheimer's disease, we utilized the Morris water maze spatial learning paradigm to systematically evaluate mild behavioral deficits that occur during the early stages of disease pathogenesis. Conventional behavioral analysis using this model indicates that spatial memory is intact at 2 months of age. In this study, we used an alternative method to analyze the behavior of mice, aiming to gain a better understanding of the nature of cognitive deficits by focusing on the unsuccessful trials during water maze learning rather than on the successful ones. APP/PS1 mice displayed a higher number of unsuccessful trials during the initial days of training, unlike their wild-type counterparts. However, with repeated trial and error, learning in APP/PS1 reached levels comparable to that of the wild-type mice during the later days of training. Individual APP/PS1 mice preferred a non-cognitive search strategy called circling, which led to abrupt learning transitions and an increased number of unsuccessful trials. These findings indicate the significance of subtle intermediate readouts as early indicators of conditions such as Alzheimer's disease. © Copyright © 2020 Karunakaran.

Item Type: Journal Article
Publication: Frontiers in Neuroscience
Publisher: Frontiers Media S.A.
Additional Information: Copyright to this article belongs to Frontiers Media S.A.
Department/Centre: Autonomous Societies / Centres > Centre for Brain Research
Date Deposited: 29 Jan 2021 06:04
Last Modified: 29 Jan 2021 06:04
URI: http://eprints.iisc.ac.in/id/eprint/67605

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