Neurobehavioral comorbidities of epilepsy: Role of inflammation
Bibliographic record
Abstract
Epilepsy is associated with a high incidence of comorbid neurologic and psychiatric disorders. This review focuses on the association of epilepsy with autism spectrum disorder (ASD) and depression. There is high concordance of these behavioral pathologies with epilepsy. We review data that unambiguously reveal that epilepsy, ASD, and depression are associated with elevated brain inflammatory markers and that these may interact with serotoninergic pathways. Interference with inflammatory pathways or actions can reduce the severity of seizures, depression, and ASD-like behavior. Inflammation in the brain can be induced by seizure activity as well as by behavioral, environmental, and physiologic stressors. Furthermore, induction of inflammation at an early time point during gestation and in early neonatal life can precipitate both an ASD-like phenotype as well as a more excitable brain. It appears likely that priming of the brain due to early inflammation could provide a means by which subsequent inflammatory processes associated with epilepsy, ASD, and depression may lead to comorbidity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".