Binge inhalation of toluene vapor produces dissociable motor and cognitive dysfunction in water maze tasks
Bibliographic record
Abstract
Binge inhalation of toluene, a psychoactive chemical found in many household and industrial products, leads acutely to intoxication with comorbid impairments in motor function and cognitive abilities that appear to recover quickly. Recent evidence, however, indicates that the administration of toluene results in marked changes in neurons of the medial prefrontal cortex that persist for relatively longer periods compared with other brain regions. To elucidate the potential toluene-induced (∼5000 ppm) cognitive dysfunctions that continue following the recovery of locomotor abilities, rats were entered into a series of water maze tasks. Following acute toluene intoxication, rats were initially severely impaired in their swimming ability and in their ability to learn and perform a visible platform task. After about 20 min, swimming behavior mostly returned to normal, although cognitive impairments were still evident. Whereas rats with extensive toluene-free training in the maze were able to show normal spatial recall following toluene intoxication, the same acute toluene exposure severely impaired reversal learning, with the rats showing a marked perseveration for the previously learned platform location. Our results indicate that toluene inhalation results in specific cognitive dysfunctions that outlast major impairments in motor abilities, which may be related to impairments in medial prefrontal cortex activity.
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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) | 0.000 | 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 | 0.001 |
| 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".