Sensory Filtering and Cognitive Function in a Valproic Acid Rat Model of Autism
Bibliographic record
Abstract
Autistic individuals display sensory filtering impairments often correlated with cognitive dysfunction. Studies have shown that both these functions can be modulated by big potassium (BK) channels. Importantly, a subset of individuals with autism have shown BK channel mutations. We assessed sensory filtering and cognitive function through behavioural tests in a valproic acid (VPA) rat model of autism. We hypothesize that the model will display sensory filtering and cognitive impairments and that activation of BK channels may rescue observed cognitive deficits. Results revealed impairments in sensory filtering, hyper-locomotive activity and increased anxiety in VPA animals during adolescence. Although no significant impairments in cognitive function were observed, BK channel modulators were shown to facilitate normal cognitive function. We conclude that the VPA model is valid for displaying sensory filtering impairments associated with autism. However, no cognitive deficits were identified. Our results also provided further evidence for the importance of BK channels in cognition.
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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 | 0.003 | 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) | 0.002 | 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".