Decreased investigatory head scanning during exploration in learning-impaired, aged rats.

Geeta Rao, Heekyung Lee, Michela Gallagher, James J Knierim

Abstract read

In one paragraph

Article in Neurobiology of aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

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

1 citing paper in PubMed.

On growth and form of animal behavior.Frontiers in integrative neuroscience · 2024
Article

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Geeta RaoKrieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA. Electronic address: grao7@jhu.edu.

Heekyung LeeKrieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA.

Michela GallagherDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.

James J KnierimKrieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA; Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA.

Funding

TRANSCRIPTIONAL MECHANISMS OF HIPPOCAMPAL AGINGP01AG009973 · NIA · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI JAMES J KNIERIM · 1991 to 2026

$52.4M

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026

$29.3M

NIA NIH HHS P01 AG009973NIA NIH HHS P30 AG066507

6 · The paper itself

Abstract

"Head scanning" is an investigatory behavior that has been linked to spatial exploration and the one-trial formation or strengthening of place cells in the hippocampus. Previous studies have demonstrated that a subset of aged rats with normal spatial learning performance show head scanning rates during a novel, local-global cue-mismatch manipulation that are similar to those of young rats. However, these aged rats demonstrated different patterns of expression of neural activity markers in brain regions associated with spatial learning, perhaps suggesting neural mechanisms that compensate for age-related brain changes. These prior studies did not investigate the head scanning properties of aged rats that had spatial learning impairments. The present study analyzed head scanning behavior in young, aged-unimpaired, and aged-impaired Long Evans rats. Aged-impaired rats performed the head scan behavior at a lower rate than the young rats. These results suggest that decreased attention to spatial landmarks may be a contributing factor to the spatial learning deficits shown by the aged-impaired rats.

Indexed as

AgingAnimalsAttentionBehavior, AnimalBrainLearning DisabilitiesMaleMaze LearningRatsRats, Long-EvansSpatial LearningExplorationHead scanningSpatial impairmentWater maze

Identifiers

PMID33221571

DOI10.1016/j.neurobiolaging.2020.10.008

PMCPMC8639103

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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.