Evidence map›Paper›PMID 26418152›Full record

ArticleHippocampus2016

Deficits in hippocampal-dependent transfer generalization learning accompany synaptic dysfunction in a mouse model of amyloidosis.

Karienn S Montgomery, George Edwards, Yona Levites, Ashok Kumar, Catherine E Myers, Mark A Gluck, Barry Setlow, Jennifer L Bizon

Abstract read
In one paragraph

Article in Hippocampus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Karienn S MontgomeryDepartment of Neuroscience and Experimental Therapeutics, Texas A&M Health Science Center, Bryan, Texas.
George EdwardsDepartment of Neurology, Mitchell Center for Alzheimer's Disease and Related Brain Disorders, University of Texas Health Science Center in Houston, Houston, Texas.
Yona LevitesDepartment of Neuroscience, University of Florida, Gainesville, Florida.
Ashok KumarDepartment of Neuroscience, University of Florida, Gainesville, Florida.
Catherine E MyersNeurobehavioral Research Lab, New Jersey Health Care System, East Orange, New Jersey.
Mark A GluckCenter for Molecular & Behavioral Neuroscience, Department of Neuroscience, Rutgers University, Newark, New Jersey.
Barry SetlowDepartment of Psychiatry, University of Florida, Gainesville, Florida.
Jennifer L BizonDepartment of Neuroscience, University of Florida, Gainesville, Florida.
University of Florida · USNeurobehavioral Research (United States) · USRutgers, The State University of New Jersey · USTexas A&M Health Science Center · USThe University of Texas Health Science Center at Houston · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Transfer Learning in Mice: improved diagnosis and treatment of Alzheimer diseaseF31AG037286 · NIA · UNIVERSITY OF FLORIDA · PI MONTGOMERY, KARIENN SOUZA · 2010 to 2011
$69k
NCATS NIH HHS UL1 TR001427NIA NIH HHS F31 AG037286
6 · The paper itself

Abstract

Elevated β-amyloid and impaired synaptic function in hippocampus are among the earliest manifestations of Alzheimer's disease (AD). Most cognitive assessments employed in both humans and animal models, however, are insensitive to this early disease pathology. One critical aspect of hippocampal function is its role in episodic memory, which involves the binding of temporally coincident sensory information (e.g., sights, smells, and sounds) to create a representation of a specific learning epoch. Flexible associations can be formed among these distinct sensory stimuli that enable the "transfer" of new learning across a wide variety of contexts. The current studies employed a mouse analog of an associative "transfer learning" task that has previously been used to identify risk for prodromal AD in humans. The rodent version of the task assesses the transfer of learning about stimulus features relevant to a food reward across a series of compound discrimination problems. The relevant feature that predicts the food reward is unchanged across problems, but an irrelevant feature (i.e., the context) is altered. Experiment 1 demonstrated that C57BL6/J mice with bilateral ibotenic acid lesions of hippocampus were able to discriminate between two stimuli on par with control mice; however, lesioned mice were unable to transfer or apply this learning to new problem configurations. Experiment 2 used the APPswe PS1 mouse model of amyloidosis to show that robust impairments in transfer learning are evident in mice with subtle β-amyloid-induced synaptic deficits in the hippocampus. Finally, Experiment 3 confirmed that the same transfer learning impairments observed in APPswePS1 mice were also evident in the Tg-SwDI mouse, a second model of amyloidosis. Together, these data show that the ability to generalize learned associations to new contexts is disrupted even in the presence of subtle hippocampal dysfunction and suggest that, across species, this aspect of hippocampal-dependent learning may be useful for early identification of AD-like pathology.

Indexed as

Amyloid beta-Protein PrecursorAmyloidosisAnimalsAssociationDisease Models, AnimalFemaleHippocampusHumansIbotenic AcidLearning DisabilitiesMice, Inbred C57BLMice, TransgenicOlfactory PerceptionPresenilin-1SynapsesTissue Culture TechniquesAmyloid beta-Protein PrecursorAPP protein, humanIbotenic AcidPresenilin-1PSEN1 protein, humanAlzheimer's diseaseamyloidAPPswePS1associative learningLTPmemorymicesynaptic functionTg-SwDI

Identifiers

PMID26418152
PMCPMC4803574
OpenAlexW1853012919

What OpenQuestion holds

Textmetadata
LicenceTDM
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.