Altered Inhibition in Lateral Amygdala Networks in a Rat Model of Temporal Lobe Epilepsy
Bibliographic record
Abstract
Clinical and experimental evidence indicates that the amygdala is involved in limbic seizures observed in patients with temporal lobe epilepsy. Here, we used simultaneous field and intracellular recordings from horizontal brain slices obtained from pilocarpine-treated rats and age-matched nonepileptic controls (NECs) to shed light on the electrophysiological changes that occur within the lateral nucleus (LA) of the amygdala. No significant differences in LA neuronal intrinsic properties were observed between pilocarpine-treated and NEC tissue. However, spontaneous field activity could be recorded in the LA of 21% of pilocarpine-treated slices but never from NECs. At the intracellular level, this network activity was characterized by robust neuronal firing and was abolished by glutamatergic antagonists. In addition, we could identify in all pilocarpine-treated LA neurons: 1) large amplitude depolarizing postsynaptic potentials (PSPs) and 2) a lower incidence of spontaneous hyperpolarizing PSPs as compared with NECs. Single-shock stimulation of LA networks in the presence of glutamatergic antagonists revealed a biphasic inhibitory PSP (IPSP) in both NECs and pilocarpine-treated tissue. The reversal potential of the early GABA(A) receptor-mediated component, but not of the late GABA(B) receptor-mediated component, was significantly more depolarized in pilocarpine-treated slices. Furthermore, the peak conductance of both fast and late IPSP components had significantly lower values in pilocarpine-treated LA cells. Finally, paired-pulse stimulation protocols in the presence of glutamatergic antagonists revealed a less pronounced depression of the second IPSP in pilocarpine-treated slices compared with NECs. Altogether, these findings suggest that alterations in both pre- and postsynaptic inhibitory mechanisms contribute to synaptic hyperexcitability of LA networks in epileptic 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) | 0.001 | 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 | 0.001 |
| 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".