Opening of the blood–brain barrier during isoflurane anaesthesia
Bibliographic record
Abstract
In order to produce its desired effect, anaesthesia acts upon neuronal elements by modifying membrane conductances and transmitter interactions. The effect of higher doses of isoflurane, widely used in clinical settings, on the permeability of the blood-brain barrier (BBB) is meanwhile ignored. In this study we investigated the integrity of the BBB during various levels of isoflurane anaesthesia (1% and 3%) in cats by monitoring the extravasation of Evans blue. Simultaneously we measured the electroencephalogram (EEG), with particular emphasis on its direct current (DC) component. High doses of anaesthetic (3%) broke down the BBB in the cortex and thalamus, while milder doses (1%) only opened the BBB in the thalamus. The fluorescent signal of Evans blue was visible over an extravascular length of 23 mum in the cortex and 25 mum in the thalamus, similar to the diffusion of the same dye when the BBB was disrupted with mannitol. The opening of the BBB was associated with (i) a positive DC shift in the EEG measured on the scalp and (ii) an evaluated increase in cerebral volume of 2-2.8%. The opening of the BBB by high doses of isoflurane brings into discussion hitherto unexplored effects of anaesthesia on the brain. The electrophysiological correlate provided by the DC component of the EEG constitutes a promising option for the assessment of the BBB integrity during human anaesthesia.
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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 | 0.001 |
| 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".