Bibliographic record
Abstract
Interest in temporal lobe seizure pathways has a long history based initially on the human condition of temporal lobe epilepsy (TLE). This interest in TLE has extended more recently into explorations of experimental models. In this review, the network structures in the temporal lobe that are recruited in animal models during various forms of limbic seizures and status epilepticus are described. Common to all of the various models is recruitment of the parahippocampal cortices, including the piriform, perirhinal, and entorhinal areas. This cortical involvement is seen in in vitro and in vivo electrophysiological recordings throughout the network, in trans-synaptic neuroplastic changes in associated network structures manifest at the molecular level, in network energy utilization visualized by 14C2-deoxyglucose uptake, and finally, in the behavioral consequences of network lesions. The conclusions of the animal models reviewed here are very similar to those described for the human condition presented recently in the 2006 Lennox lecture by Warren Blume, and addressed 53 years ago in the quadrennial meeting of the ILAE in 1953 by Henri Gastaut.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".