Heat Synch: Inter- and Independence of Body-Temperature Fluctuations and Brain-State Alternations in Urethane-Anesthetized Rats
Bibliographic record
Abstract
During sleep, warm-blooded animals exhibit cyclic alternations between rapid-eye-movement (REM) and nonrapid-eye-movement (non-REM) states, characterized by distinct patterns of brain activity apparent in electroencephalographic (EEG) recordings coupled with corresponding changes in physiological measures, including body temperature. Recently we have shown that urethane-anesthetized rats display cyclic alternations between an activated state and a deactivated state that are highly similar in both EEG and physiological characteristics to REM and non-REM sleep states, respectively. Here, using intracranial local field potential recordings from urethane-anesthetized rats, we show that brain-state alternations were correlated to core temperature fluctuations induced using a feedback-controlled heating system. Activated (REM-like) states predominated during the rising phase of the temperature cycle, whereas deactivated (non-REM-like) states predominated during the falling phase. Brain-state alternations persisted following the elimination of core temperature fluctuations by the use of a constant heating protocol, but the timing and rhythmicity of state alternations were altered. In contrast, thermal fluctuations applied to the ventral surface (and especially the scrotum) of rats in the absence or independently of core temperature fluctuations appeared to induce brain-state alternations. Heating brought about activated patterns, whereas cooling produced deactivated patterns. This shows that although alternations of sleeplike brain states under urethane anesthesia can be independent of imposed temperature variations, they can also be entrained through the activation of peripheral thermoreceptors. Overall, these results imply that brain state and bodily metabolism are highly related during unconsciousness and that the brain mechanisms underlying sleep cycling and thermoregulation likely represent independent, yet coupled oscillators.
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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 | 0.000 | 0.001 |
| 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) | 0.000 | 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".