P.029 Limbic system involvement in absence seizures
Bibliographic record
Abstract
Background: Absence epilepsy (AE) is believed to be generated by a thalamocortical network. Our laboratory showed that hippocampal neuronal firings were synchronous with the SWDs in the gamma butyrolactone (GBL) model of AE in rats. Here, we hypothesize that high frequency oscillations (HFOs) in the hippocampus and other parts of the limbic system were phase modulated by SWDs Methods: GBL (200 mg/kg i.p) was injected to induce SWDs in 6 male Long-Evans rats. Spontaneous local field potentials (LFPs) were recorded from electrodes implanted in the hippocampus and ventrolateral thalamus bilaterally and the right frontal cortex. For each LFP, modulation index (MI) gives the cross-frequency amplitude modulation of the HFOs (;90-250 Hz) by the phase of the SWD frequency at 2-8 Hz Results: Phase modulation of the HFOs by 2-8 Hz frequency increased for >45 min after GBL injection. MI increase was higher for hippocampal than thalamic LFPs, and not significant for frontal cortical LFP. MI for the nucleus accumbens LFP (N= 1 rat) also increased after GBL Conclusions: The modulation of HFOs (presumed local neural activity) by SWD frequency provides further support that the hippocampus and connected limbic system may become synchronous with the SWDs in AE
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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) | 0.007 | 0.001 |
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".