Pentobarbital Sedation Increases Genioglossus Respiratory Activity in Sleeping Rats
Bibliographic record
Abstract
OBJECTIVE: To determine whether certain sedatives may, by increasing arousal threshold, allow pharyngeal dilator muscle activity to increase more in response to chemical stimuli before arousal occurs. DESIGN, PARTICIPANTS AND INTERVENTIONS: Thirteen chronically instrumented rats were studied during sleep following injections of placebo or sedating doses of pentobarbital (10 mg/kg). Intermittently, inspired CO2 was increased gradually until arousal occurred. MEASUREMENTS AND RESULTS: Maximum genioglossus activity reached before arousal was higher with pentobarbital than placebo (34.5 +/- 24.3 vs 3.7 +/- 2.9mV; P < 0.001) for 2 reasons. First, genioglossus activity was greater during undisturbed sleep before CO2 was applied (23.3 +/- 15.3 vs 2.5 +/- 1.5 mV, P < 0.001). When sleep periods were long, a ramp-like increase in genioglossus activity (GG-Ramp) began and progressed until arousal. GG-Ramps developed with both placebo and pentobarbital but reached higher levels with pentobarbital due to longer sleep periods and faster increase in genioglossus activity during the ramp. GG-Ramps began when diaphragm activity was lowest and progressed despite unchanged diaphragm activity. Second, as hypothesized, the increase in genioglossus activity with CO2 before arousal was greater than with placebo (11.2 +/- 2.5 vs 1.2 +/- 2.5mV; P < 0.05) due to increased arousal threshold. In 27 of 126 CO2 challenges delivered while GG-Ramps were in progress, genioglossus activity paradoxically decreased despite increased diaphragmatic activity. These negative responses occurred randomly in 7 of 13 rats. CONCLUSIONS: In rats: 1) Sedatives may allow genioglossus activity to reach higher levels during sleep. 2) A time-dependent increase in genioglossus activity occurs during undisturbed sleep that is unrelated to chemical drive. 3) Transient hypercapnia may elicit inhibition of genioglossus activity under currently unidentified circumstances.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".