Mechanism of cognitive impairment in a chronic model of atypical absence seizures
Bibliographic record
Abstract
Chronic atypical absence seizures (CAAS) commonly exist as a component of the Leanox-Gastaut syndrome, a malignant epileptic disorder in children. CAAS are more severe and disabling than the benign condition of typical absence seizures. While typical absence seizures are easily controlled by medication and are not accompanied by significant neuropsychological problems, CAAS are refractory to medication, and, more importantly, are often associated with severe mental retardation. The reason for their striking difference in neurodevelopmental outcome is not clear, but will require a better understanding of the neuropathology underlying CAAS. Using a validated animal model of CAAS, rats treated with a cholesterol biosynthesis inhibitor, AY9944 (AY), reliably reproduce the electrographic, behavioural, pharmacological and cognitive features of clinical CAAS. This study has found that AY-treated animals exhibit a working memory deficit in the spatial task of radial arm maze and are impaired in synaptic plasticity (i.e. long-term potentiation), the putative cellular substrate for learning and memory. The specific gamma-aminobutyric acid B receptor (GABAB R) antagonist, CGP35348, reverses the memory impairment in the AY model and corrects for the attenuated long-term potentiation in face of their spontaneous CAAS. The data thus suggest that the GABABR plays an important role in the cognitive dysfunction of AY-treated rats, which appears to be independent of their seizure activity per se. As a proof of concept, the cognitive phenotype of GABABR subunit 1a overexpressing transgenic mice, that also display CAAS, was evaluated. These mutant animals consistently demonstrated impairments in spatial memory of the radial maze task and in synaptic plasticity, therefore confirming the involvement of GABABR in the learning and memory deficit associated with CAAS. This work has provided the first evidence of the therapeutic potential of GABABR antagonists for the treatment of mental retardation in epileptic syndromes where CAAS are a component.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".