Spontaneous cerebellar activity and its role in neurotoxicity
Bibliographic record
Abstract
Introduction. In performed experiments, the parietal electrocortical activity of the cerebral cortex and the activity of the cerebellar cortex were simultaneously recorded. The main purpose was to compare their spontaneous activity, as the recording was conducted during anesthesia. Material and Methods. We used 2-3 months old rats weighing 200 - 350 g. Two groups of rats with same characteristics were made. The first group of 15 rats (control group) was recorded under anesthesia and there was a change in spectral power in accordance with frequency ranges. The second group of 30 rats was recorded under the same experimental conditions, but the rats were treated intraperitoneally by aluminium chloride hexahydrate solution or with 1.5% solution of aluminium chloride hexahydrate per os. Discussion. Changes in spontaneous activity of the cerebellum during aluminium intoxication were compared with control values. It was shown that lesion and neurotoxicity during stable anesthesia led to desynchronization of the cerebellar activity. This is described by the change in fractal dimension of cerebellar electrocortical activity. The assumption is that the inhibition caused by anesthetic is compensated during aluminium intoxication. Conclusion. The cerebellum plays a role in compensation through changes in spontaneous activity. This response involves an increase in the value of fractal dimension of cerebellar electrocortical activity which is reduced in neurotoxicity.
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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) | 0.000 | 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 | 0.000 |
| 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".