P2‐050: Social Behaviours in The 5XFAD Mouse Model of Alzheimer's Disease
Bibliographic record
Abstract
Social dysfunctions in Alzheimer's disease (AD) are reported in a significant proportion of the patient population, and greatly contribute to the overall societal burden of the disease. While social withdrawal and aggression have been clearly documented in the AD patient population, they have not been well assessed in transgenic mouse models of AD. 5xFAD and control mice were housed in same-sex same-genotype pairs and were tested in behavioural tests aimed at quantifying measures of sociability and aggressive behaviours. Tests included a homecage interaction test, a newly-developed odour plus maze, and the three-chamber sociability test. 5xFAD mice spent similar time interacting with each other in their homecage as control mice. However, 5xFAD mice tended to spend less time in an area containing an unfamiliar social odour (U=13, p=0.07), but significantly more time in an area containing a social stimulus (U=10, p=0.03) compared to control mice. These results suggest a complex interplay between social avoidance and approach behaviours that are dependent on the quality of the social stimuli. Although 5xFAD mice avoid a social odour, they approach a social stimulus, which could indicate increased social withdrawal concomitant with increased aggression. These findings suggest that 5xFAD mice share key aspects of social dysfunctions observed in AD patients. Studies to clarify the interpretation of our findings related to our supposition regarding aggression are currently ongoing.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".