P3‐070: Entorhinal TAU Pathology Decouples Hippocampal and Prefrontal Oscillations Without Impairing Associative Memory
Bibliographic record
Abstract
Alzheimer’s disease (AD) is a neurodegenerative disorder associated with progressive memory loss and the deposition of proteinaceous substances including the intracellular aggregation of tau proteins. Entorhinal neurons are the first to be affected by tau aggregates, and in humans this initial stage precedes detectable memory impairments by many years. These tau aggregates impair various properties of single neurons and synaptic plasticity. Yet, given dense reciprocal connectivity of the entorhinal cortex with the hippocampus and many neocortical regions, the disruptive effect may also extend to these yet pathology-free regions, resulting in dysfunction of a long-range circuit underlying memory processes. To address this point, we examined couplings of local field potentials between two entorhinal efferent regions, the dorsal hippocampus (dHPC) and medial prefrontal cortex (mPFC) while male rats that over-expressed mutated human tau (P301L) in the entorhinal cortex learned an associative memory. We found that entorhinal tau over-expression impaired stimulus-induced oscillatory couplings between the dHPC and mPFC. In particular, tau over-expression attenuated theta phase synchronization and theta-gamma amplitude correlation without affecting stimulus-induced oscillatory amplitude. In addition, the tau overexpression altered the network state associated with memory but did not impair memory performance. Thus, tau-induced dysfunction of entorhinal neurons resulted in abnormal hippocampal-prefrontal circuit operation before detectable memory impairments.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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".