Evidence map›Paper›PMID 39720305›Full record

ArticleFrontiers in behavioral neuroscience2024

A bespoke water T-maze apparatus and protocol: an optimized, reliable, and repeatable method for screening learning, memory, and executive functioning in laboratory mice.

Jeremy Davidson Bailoo, Susan E Bergeson, Igor Ponomarev, Joshua O Willms, Brent R Kisby, Gail A Cornwall, Clinton C MacDonald, J Josh Lawrence, Vadivel Ganapathy, Sathish Sivaprakasam and 5 more

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Jeremy Davidson BailooDepartment of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Susan E BergesonDepartment of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Igor PonomarevDepartment of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Joshua O WillmsDepartment of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Brent R KisbyDepartment of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Gail A CornwallDepartment of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Clinton C MacDonaldDepartment of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
J Josh LawrenceDepartment of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Vadivel GanapathyDepartment of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Sathish SivaprakasamDepartment of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Praneetha PanthaganiDepartment of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Scott TrastiDepartment of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, TX, United States.
Justin A VarholickDepartment of Biology, University of Florida, Gainesville, FL, United States.
Michael FindlaterDepartment of Chemistry and Biochemistry, University of California Merced, Merced, CA, United States.
Amrika DeonarineDepartment of Civil, Environmental, and Construction Engineering, Texas Tech University, Lubbock, TX, United States.

Funding

The hippocampal dentate gyrus in aging and Alzheimer's disease: boosting transcription of retinoic acid-sensitive genes through vitamin A supplementation and HDAC inhibitionR01AG073826 · NIA · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI John Joshua Lawrence · 2022 to 2026
$3.1M
Transcriptional Dysfunction in Dentate Gyrus Cell Types: Roles of Retinoic Acid Responsive Genes in Protection Against Alzheimer's Disease PathogenesisR01AG071859 · NIA · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI John Joshua Lawrence · 2022 to 2026
$1.9M
Evaluation of the timing and duration of low level dimethylarsinic acid exposure to its fate, metabolism, and development of neurodevelopmental and neurodegenerative biomarkersR03ES034194 · NIEHS · TEXAS TECH UNIVERSITY · PI BAILOO, JEREMY DAVIDSON, DEONARINE, AMRIKA · 2022 to 2023
$164k
Synthesis, quantification and in vivo assessment of arsenolipids prevalent in seafoodsR03ES033333 · NIEHS · TEXAS TECH UNIVERSITY · PI BAILOO, JEREMY DAVIDSON, DEONARINE, AMRIKA · 2021 to 2022
$148k
NIA NIH HHS R01 AG071859NIA NIH HHS R01 AG073826NIEHS NIH HHS R03 ES033333NIEHS NIH HHS R03 ES034194
6 · The paper itself

Abstract

The Morris Water Maze (MWM) is the most commonly used assay for evaluating learning and memory in laboratory mice. Despite its widespread use, contemporary reviews have highlighted substantial methodological variation in experimental protocols and that the associated testing procedures are acutely (each trial) and chronically (testing across days) stressful; stress impairs attention, memory consolidation and the retrieval of learned information. Moreover, the interpretation of behavior within the MWM is often difficult because of wall hugging, non-spatial swim strategies, floating, and jumping off the escape platform. Together, these issues may compromise the reproducibility, generalizability, and predictability of experimental results, as well as animal welfare. To address these issues, and as an initial proof-of-principle, we first narrowed the spatial dimensions of the MWM by using a T-insert, which constrained and reduced the overall length of time/distance that the animal must swim in order to navigate to the escape platform, thus reducing stress and off-task behavior. Given the robust performance observed across spatial acquisition (learning and memory) as well as during reversal learning (executive function), we further reduced (by 43%) the overall distance and time that the animal must swim in order to find the escape platform in a bespoke standalone Water T-Maze (WTM). We show, across five experiments, procedural refinements to our protocol and demonstrate robust, reliable and reproducible indicators of learning, memory and executive functioning in a task that is also significantly more efficient (3 days of testing within the WTM vs. 11 days of testing within the MWM). Taken together, our WTM apparatus and protocol are a significant improvement over other water-based apparatuses and protocols for evaluating learning, memory, and executive functioning in laboratory mice.

Indexed as

animal welfareMorris water mazeMWMprotocolrefinementreproducibilityT-water mazewater T-maze

Identifiers

PMID39720305
PMCPMC11666379

What Socratic 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 Socratic graph.