Methylxanthine‐evoked seizure‐like perturbation of isolated newborn rat hippocampal and cortical networks
Bibliographic record
Abstract
Treatment of (preterm) infants with caffeine and theophylline for stabilization of breathing can evoke seizures. Here, we studied in brain slices from 1–10 days‐old rats whether these methylxanthines affect early network oscillations (ENOs) in hippocampal and cortical areas that occur at rates of 15–45/min and 0.5–3/min, respectively, and presumably promote connectivity. Bath‐applied caffeine or theophylline did not substantially perturb either type of ENOs at <0.5 mM whereas 0.5–10 mM transformed ENOs into slow (0.5–5/min) large amplitude seizure‐like discharges resembling those upon GABA A receptor blockade using gabazine (1–5 μM). Both methylxanthines also provoked spontaneous and electrically‐evoked epileptiform activity in an in‐toto hippocampus preparation from 1–10 days old rats, with theophylline being more effective at low millimolar concentrations similar to its more potent action on ENOs. Findings suggest that >0.5 mM theophylline (and higher doses of caffeine) perturbs both spontaneous bursting and evoked synaptic processes in hippocampal and cortical neural networks. If such methylxanthine levels were reached in these brain structures during clinical administration, which can last for several weeks, development of connectivity may be hampered.
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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".