Related Experiment Video
Updated: Jul 8, 2025

10:24
Morris Water Maze Test: Optimization for Mouse Strain and Testing Environment
Published on: June 22, 2015
21.6K
Cognitive trajectories in longitudinally trained 3xTg-AD mice
Michael R Duggan1, Zoe Steinberg1, Tara Peterson1
1Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA 19122, United States.
Physiology & Behavior
|December 16, 2023
Summary
Longitudinal cognitive training improved cognitive function in a mouse model of Alzheimer's disease (AD). This training helped 3xTg mice perform comparably to wild-type mice, suggesting functional compensation.
Area of Science:
- Neuroscience
- Cognitive Science
- Animal Models of Disease
Background:
- Preclinical Alzheimer's disease (AD) research often uses cognitively naive animal models.
- Cross-sectional designs may not capture lifespan cognitive changes or human heterogeneity.
Purpose of the Study:
- To investigate the effects of longitudinal cognitive training on cognitive capacities in a well-characterized AD mouse model (3xTg).
- To assess cognitive performance and anxiety-like behaviors across different ages.
Main Methods:
- 3xTg and wild-type mice (n=20) underwent daily Go-No-Go (GNG) operant task training from 3 to 9 months old.
- Cognitive performance (GNG task), anxiety-like behaviors, and long-term recognition memory were assessed at 3, 6, and 9 months.
Main Results:
- GNG training generally improved performance with age across genotypes.
- 3xTg mice showed transient deficits in inhibitory control and signal detection at 3 months, which diminished by 9 months.
- At 9 months, 3xTg mice had comparable long-term recognition memory and anxiety-like behaviors to wild-type mice.
Conclusions:
- Longitudinal cognitive training can normalize cognitive capacities in 3xTg mice, making them comparable to wild-type counterparts.
- This suggests potential functional compensation mechanisms in AD genetic mutation carriers.
- Cognitive training may be a valuable tool for preclinical AD research.

