P4‐043: Behavioural Phenotyping of Alzheimer's Disease Model Mice: Understanding Mouse Models of Alzheimer's Disease
Bibliographic record
Abstract
Although transgenic mice have been developed as models of Alzheimer's Disease, the behavioural phenotypes of these mice are often quite surprizing. Some behaviours in these mice show age-related deficits while others appear normal. Some deficits are more likely to appear in one sex and not the other. The only way to determine the age-related changes in these mouse models is to conduct lifespan behavioural phenotyping using behavioural bioassays. We have examined the sensory, motor and cognitive performance of both males and females of a number of Alzheimer model mice and their wildtype controls over their lifespan. We examined age-related changes in spatial learning and memory, procedural learning and memory, and olfactory memory in male and female APP/PSEN1 double transgenic, 3x-Tg AD and 5XFAD mouse models of AD and their appropriate control strains between 3 and 18 months of age. The data examines sex differences, sex by genotype and sex by age interactions in each memory system. We also examine sex differences in longevity of each genotype. We found sex differences in a number of learning and memory tasks. There were no genotype or age-related deficits in olfactory memory. The 5xFAD mice had age-related deficits in procedural learning. There were also age-and genotype-related deficits in visuo-spatial memory. Confounding effects of background strain, behavioural measures and housing conditions will be discussed. Each mouse model of AD has different behavioural phenotypes and there are age and sex differences in the degree of behavioural dysfunction, thus behavioural phenotyping of both sexes of each mouse model is essential.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".