The effect of sleep deprivation on sleep intensity and metabolic rate during NREM sleep in the male Wistar rat
Bibliographic record
Abstract
Slow wave activity (SWA) is thought to represent sleep intensity, due to its high rebound following sleep deprivation. The effect of sleep deprivation on metabolic rate (MR) during subsequent recovery sleep is currently unknown. Since MR tends to decrease during the transition from wakefulness to sleep, and SWA is believed to be linked with sleep intensity, a negative relationship between the two variables was hypothesized. Seven male Wistar rats experienced three experimental conditions: cage control (CC), an experimental control (TSC), and total sleep deprivation (TSD) for 16 hours. Following each condition, SWA and MR were evaluated. SWA was 44.76 +/- 3.83 muV rms in the TSD condition, a value significantly different from both CC and TSC conditions (32.37 +/- 2.69 muVrms and 31.06 +/- 1.74 muVrms). However, sleeping MR was not significantly different between experimental conditions (17.0 +/- 0.6 mL O2/min/kg, 16.0 +/- 1.0 mL O2/min/kg, and 15.0 +/- 0.8 mL O 2/min/kg for CC, TSC, and TSD conditions respectively). The data shown provide insufficient evidence to indicate a negative association between SWA and MR during sleep.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".