Electrophysiology and Morris Water Maze to Assess Hippocampal Function After Experimental Subarachnoid Hemorrhage
Bibliographic record
Abstract
Aneurysmal subarachnoid hemorrhage (SAH) is a devastating disease that affects about 10 of every 100,000 people per year. Studies suggest that about 15% of patients die before admission to hospital and an additional 25% die within 1 month of admission. Survivors often have memory and cognitive deficits that persist for years after the ictus. The hippocampal formation and long-term potentiation (LTP), a form of synaptic plasticity at hippocampal synapses, has been postulated to be involved in cognitive functions, such as learning and memory. Therefore, assessing hippocampal function after SAH in animal models might promote better understanding of mechanisms underlying memory and learning impairment that develop after SAH. In mice or rats, hippocampal function can be assessed at a neuronal level using electrophysiology and at a behavioral level using Morris water maze. This chapter focuses on the history, methodology, and variations in these techniques.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".