Early‐stage attenuation of phase‐amplitude coupling in the hippocampus and medial prefrontal cortex in a transgenic rat model of Alzheimer's disease
Bibliographic record
Abstract
Abstract Alzheimer's disease (AD) is pathologically characterized by amyloid‐β peptide (Aβ) accumulation, neurofibrillary tangle formation, and neurodegeneration. Preclinical studies on neuronal impairments associated with progressive amyloidosis have demonstrated some Aβ‐dependent neuronal dysfunction including modulation of gamma‐aminobutyric acid‐ergic signaling. The present work focuses on the early stage of disease progression and uses TgF344‐ADrats that recapitulate a broad repertoire ofAD‐like pathologies to investigate the neuronal network functioning using simultaneous intracranial recordings from the hippocampus (HPC) and the medial prefrontal cortex (mPFC), followed by pathological analyses of gamma‐aminobutyric acid (GABAA) receptor subunits α1,α5, and δ, and glutamic acid decarboxylases (GAD65 andGAD67). Concomitant to amyloid deposition and tau hyperphosphorylation, low‐gamma band power was strongly attenuated in theHPCandmPFCof TgF344‐ADrats in comparison to those in non‐transgenic littermates. In addition, the phase‐amplitude coupling of the neuronal networks in both areas was impaired, evidenced by decreased modulation of theta band phase on gamma band amplitude in TgF344‐ADanimals. Finally, the gamma coherence betweenHPCandmPFCwas attenuated as well. These results demonstrate significant neuronal network dysfunction at an early stage ofAD‐like pathology. This network dysfunction precedes the onset of cognitive deficits and is likely driven by Aβ and tau pathologies. image This article is part of the Special Issue “Vascular Dementia” .
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".