Cognitive impairment and transmitter‐specific pre‐ and postsynaptic changes in the rat cerebral cortex during ageing
Bibliographic record
Abstract
Recent studies suggest that age-related cognitive decline is correlated with an excitatory-inhibitory imbalance in synaptic discharges on pyramidal neurons. This study focuses on whether ageing and cognitive status correlates with relative numbers of excitatory and inhibitory presynaptic boutons. We investigated the density of excitatory and inhibitory presynaptic inputs across several areas of the rat cerebral cortex in young and aged male Fischer 344 rats. Aged animals were segregated into aged cognitively impaired (AI) and aged cognitively unimpaired (AU) groups using the Morris water maze. We applied immunohistochemistry to reveal the majority of excitatory and inhibitory presynaptic boutons captured with confocal microscopy and quantitative image analysis. A gradual decline in the density of excitatory and inhibitory presynaptic boutons occurred from young to AU to AI animals; however, the ratios of excitatory to inhibitory presynaptic bouton densities were not significantly altered. We further investigated the density of receptor scaffolding proteins representing key excitatory and inhibitory receptor postsynaptic sites, using antibodies against specific markers of excitatory and inhibitory postsynaptic densities, respectively. Significant changes in the ratios of excitatory to inhibitory postsynaptic densities were observed only in AI compared to young rats.
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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) | 0.000 | 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 | 0.000 |
| 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".