Early-life seizure sensitive neurones: Their characteristics and role in epilepsy pathology
Bibliographic record
Abstract
There is a large body of literature exploring early-life-seizures (ELS), however, much of this research focuses on whole brain regions.This thesis aims to understand the characteristics of ELS-sensitive neurones and their role in future seizure pathology.Using c-Fos-GFP/c-Fos-tTA based transgenic mice, we found that at P10 ~18% of pyramidal neurones are activated in the CA1 pyramidal layer of the hippocampus in response to a kainic acid (KA) seizure.Electrophysiology recordings of ELS-sensitive neurones found a decrease in spontaneous GABA activity.Using c-Fos-GFP/c-Fos-tTA/TRE-hM3Dq mice, which flags ELS-sensitive neurones with the excitatory DREADD hM3Dq, we found that reactivating ELS-sensitive neurones is sufficient to evoke seizures.Finally, using c-Fos-GFP/c-Fos-tTA/TRE-hM4Di mice with the inhibitory DREADD hM4Di, we found that suppressing ELS-sensitive neurones after a seizure recovers the increase in excitability.These results indicate that ELS-sensitive neurones play a crucial role in future seizure pathology and pose a unique target for further research.
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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 | 0.000 | 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".