Limbic Network Interactions Leading to Hyperexcitability in a Model of Temporal Lobe Epilepsy
Bibliographic record
Abstract
In mouse brain slices that contain reciprocally connected hippocampus and entorhinal cortex (EC) networks, CA3 outputs control the EC propensity to generate experimentally induced ictal-like discharges resembling electrographic seizures. Neuronal damage in limbic areas, such as CA3 and dentate hilus, occurs in patients with temporal lobe epilepsy and in animal models (e.g., pilocarpine- or kainate-treated rodents) mimicking this epileptic disorder. Hence, hippocampal damage in epileptic mice may lead to decreased CA3 output function that in turn would allow EC networks to generate ictal-like events. Here we tested this hypothesis and found that CA3-driven interictal discharges induced by 4-aminopyridine (4AP, 50 microM) in hippocampus-EC slices from mice injected with pilocarpine 13-22 days earlier have a lower frequency than in age-matched control slices. Moreover, EC-driven ictal-like discharges in pilocarpine-treated slices occur throughout the experiment (< or = 6 h) and spread to the CA1/subicular area via the temporoammonic path; in contrast, they disappear in control slices within 2 h of 4AP application and propagate via the trisynaptic hippocampal circuit. Thus, different network interactions within the hippocampus-EC loop characterize control and pilocarpine-treated slices maintained in vitro. We propose that these functional changes, which are presumably caused by seizure-induced cell damage, lead to seizures in vivo. This process is facilitated by a decreased control of EC excitability by hippocampal outputs and possibly sustained by the reverberant activity between EC and CA1/subiculum networks that are excited via the temporoammonic path.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".