Grid cell disruption in a mouse model of early Alzheimer’s disease reflects reduced integration of self-motion cues and increased influence of environmental geometry
Bibliographic record
Abstract
Abstract Grid cell impairments and path integration deficits are sensitive markers of early Alzheimer’s disease (AD). Converging evidence from human and rodent studies suggest that disrupted grid coding underlies path integration deficits in preclinical individuals. However, it still remains unclear if disrupted early AD grid coding reflects increased noise across the network or a specific deficit in path integration, perhaps via an impairment in the integration of self-motion cues. Here, we report in the J20 transgenic amyloid beta mouse model of early AD that grid cells were spatially unstable towards the center of the square arena but not near the borders, had qualitatively different spatial components that aligned parallel to the borders of the environment, and exhibited impaired integration of distance travelled via reduced theta phase precession. Our results suggest that disrupted early AD grid coding reflects reduced integration of self-motion cues but not environmental landmarks, providing further evidence that grid cell impairments underlie specific path integration deficits in early AD.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".