Evidence map›Paper›PMID 29189018›Full record

ArticleBehavioral neuroscience2017

The application of a rodent-based Morris water maze (MWM) protocol to an investigation of age-related differences in human spatial learning.

Jimmy Y Zhong, Kathy R Magnusson, Matthew E Swarts, Cherita A Clendinen, Nadjalisse C Reynolds, Scott D Moffat

Open access · hybridAbstract read
In one paragraph

Article in Behavioral neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

27 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A cognitive-motor framework for spatial navigation in aging and early-stage Alzheimer's disease.Cortex; a journal devoted to the study of the nervous system and behavior · 2025
    Review
  6. Article
  7. Article
  8. Hippocampal contributions to novel spatial learning are both age-related and age-invariant.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Virtual Reality for Spatial Navigation.Current topics in behavioral neurosciences · 2023
    Article
  14. Article
  15. Review
  16. Effects of the Bark Resin Extract ofMolecules (Basel, Switzerland) · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors at 2 institutions in 1 country.

Jimmy Y ZhongSchool of Psychology, College of Sciences, Georgia Institute of Technology.ORCID 0000-0003-3879-278X
Kathy R MagnussonDepartment of Biomedical Sciences, College of Veterinary Medicine & Linus Pauling Institute, Oregon State University.
Matthew E SwartsSchool of Architecture, College of Design, Georgia Institute of Technology.
Cherita A ClendinenSchool of Psychology, College of Sciences, Georgia Institute of Technology.
Nadjalisse C ReynoldsDepartment of Biomedical Sciences, College of Veterinary Medicine & Linus Pauling Institute, Oregon State University.
Scott D MoffatSchool of Psychology, College of Sciences, Georgia Institute of Technology.
Georgia Institute of Technology · USOregon University System · US

Funding

Cross-training in human functional imaging for cognitive agingK18AG048706 · NIA · OREGON STATE UNIVERSITY · PI MAGNUSSON, KATHY R · 2014 to 2014
$140k
National Institutes of HealthNIA NIH HHS K18 AG048706Oregon State University; College of Veterinary Medicine
6 · The paper itself

Abstract

The current study applied a rodent-based Morris water maze (MWM) protocol to an investigation of search performance differences between young and older adult humans. To investigate whether similar age-related decline in search performance could be seen in humans based on the rodent-based protocol, we implemented a virtual MWM (vMWM) that has characteristics similar to those of the MWM used in previous studies of spatial learning in mice. Through the use of a proximity to platform measure, robust differences were found between healthy young and older adults in search performance. After dividing older adults into good and poor performers based on a median split of their corrected cumulative proximity values, the age effects in place learning were found to be largely related to search performance differences between the young and poor-performing older adults. When compared with the young, poor-performing older adults exhibited significantly higher proximity values in 83% of 24 place trials and overall in the probe trials that assessed spatial learning in the absence of the hidden platform. In contrast, good-performing older adults exhibited patterns of search performance that were comparable with that of the younger adults in most place and probe trials. Taken together, our findings suggest that the low search accuracy in poor-performing older adults stemmed from potential differences in strategy selection, differences in assumptions or expectations of task demands, as well as possible underlying functional and/or structural changes in the brain regions involved in vMWM search performance. (PsycINFO Database Record

Indexed as

AdolescentAdultAgedAge FactorsAnimalsBehaviorFemaleHumansMaleMaze LearningMiddle AgedRodentiaSpatial LearningWaterYoung AdultWater

Identifiers

PMID29189018
PMCPMC5726545
OpenAlexW2772372509

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.