Evidence map›Paper›PMID 24795750›Full record

ReviewFrontiers in genetics2014

Using mice to model Alzheimer's dementia: an overview of the clinical disease and the preclinical behavioral changes in 10 mouse models.

Scott J Webster, Adam D Bachstetter, Peter T Nelson, Frederick A Schmitt, Linda J Van Eldik

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 382 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
382citing papers in PubMed, 1 pooled it
35.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

382 citing papers in PubMed, 1 synthesis or guideline pooled it, 736 citations in OpenAlex.

  1. Pooled it
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  5. Age-Associated Behavioral Alterations in Laboratory-Housed Octodon degus.bioRxiv : the preprint server for biology · 2026
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322 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Scott J WebsterSanders-Brown Center on Aging, University of Kentucky Lexington, KY, USA.
Adam D BachstetterSanders-Brown Center on Aging, University of Kentucky Lexington, KY, USA.
Peter T NelsonSanders-Brown Center on Aging, University of Kentucky Lexington, KY, USA ; Division of Neuropathology, Department of Pathology and Laboratory Medicine, University of Kentucky Lexington, KY, USA.
Frederick A SchmittSanders-Brown Center on Aging, University of Kentucky Lexington, KY, USA ; Department of Neurology, University of Kentucky Lexington, KY, USA.
Linda J Van EldikSanders-Brown Center on Aging, University of Kentucky Lexington, KY, USA ; Department of Anatomy and Neurobiology, University of Kentucky Lexington, KY, USA.
University of Kentucky · US

Funding

University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY, VAN ELDIK, LINDA J · 2006 to 2020
$23.3M
NIA NIH HHS P30 AG028383
6 · The paper itself

Abstract

The goal of this review is to discuss how behavioral tests in mice relate to the pathological and neuropsychological features seen in human Alzheimer's disease (AD), and present a comprehensive analysis of the temporal progression of behavioral impairments in commonly used AD mouse models that contain mutations in amyloid precursor protein (APP). We begin with a brief overview of the neuropathological changes seen in the AD brain and an outline of some of the clinical neuropsychological assessments used to measure cognitive deficits associated with the disease. This is followed by a critical assessment of behavioral tasks that are used in AD mice to model the cognitive changes seen in the human disease. Behavioral tests discussed include spatial memory tests [Morris water maze (MWM), radial arm water maze (RAWM), Barnes maze], associative learning tasks (passive avoidance, fear conditioning), alternation tasks (Y-Maze/T-Maze), recognition memory tasks (Novel Object Recognition), attentional tasks (3 and 5 choice serial reaction time), set-shifting tasks, and reversal learning tasks. We discuss the strengths and weaknesses of each of these behavioral tasks, and how they may correlate with clinical assessments in humans. Finally, the temporal progression of both cognitive and non-cognitive deficits in 10 AD mouse models (PDAPP, TG2576, APP23, TgCRND8, J20, APP/PS1, TG2576 + PS1 (M146L), APP/PS1 KI, 5×FAD, and 3×Tg-AD) are discussed in detail. Mouse models of AD and the behavioral tasks used in conjunction with those models are immensely important in contributing to our knowledge of disease progression and are a useful tool to study AD pathophysiology and the resulting cognitive deficits. However, investigators need to be aware of the potential weaknesses of the available preclinical models in terms of their ability to model cognitive changes observed in human AD. It is our hope that this review will assist investigators in selecting an appropriate mouse model, and accompanying behavioral paradigms to investigate different aspects of AD pathology and disease progression.

Indexed as

3×TG-AD miceAlzheimer's diseaseAPP miceAPP/PS1 micebehaviorcognitionmouse modelsneuropsychological assessment

Identifiers

PMID24795750
PMCPMC4005958
OpenAlexW1982313782

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.