Dietary supplementation of fish oil enriched with omega‐3 polyunsaturated fatty acids elevates seizure threshold in rats
Bibliographic record
Abstract
Epilepsy is a serious neurological disorder which is characterized by spontaneous, recurrent seizures. Simple partial seizures originating from the cortex are drug‐responsive, whereas complex‐partial seizures originating from the amygdala are drug‐resistant. Current anticonvulsant medications that are used to treat simple partial seizures have side effects including weight gain. Omega‐3 (n‐3) polyunsaturated fatty acids (PUFA) have been considered as a healthier alternative treatment for patients with epilepsy. Accordingly, we hypothesized that dietary supplementation of fish oil enriched with n‐3 PUFA would protect against epileptic‐like seizures originating from the cortex or amygdala, without altering body weight gain. Rats were surgically implanted with electrodes in the cortex or amygdala, and subsequently randomized to the AIN‐93G diet containing soybean oil or 40% fish oil for up to 34 weeks. Body weight gain, food intake and seizure thresholds were measured monthly. In contrast to soybean oil, fish oil supplementation elevated afterdischarge seizure threshold in the cortex (36%) and the amygdala (64%) relative to baseline (P<0.05). Fish oil treatment did not alter food intake and body weight gain over time (P>0.05). These findings indicate that n‐3 PUFA have anticonvulsant properties, and that they do not adversely affect body weight as seen with conventional anticonvulsant medications.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".