Brain Dead: The Dynamic Neuroendocrinological Adaptations During Hypometabolism in Mammalian Hibernators
Bibliographic record
Abstract
Some mammals that are faced with severe climates or reduced food availability may overcome these challenges by making use of hibernation – a state coordinated by the central nervous system in response to normally lethal environmental challenges to the animal. Hibernators can survive extended periods of unfavorable conditions while maintaining lowered levels of essential cellular processes (i.e., transcription/translation), by significantly reducing energy use in the brain as well as most peripheral organs. A requirement for significantly lower energy use during hibernation is remarkable phenotypic plasticity within several physiological processes including endocrine activity, metabolic activity, thermoregulation and rhythmic behaviors and mechanisms. Of major importance during hibernation is the hypothalamus, which, in cooperation with major neuroendocrine axes, regulates almost every aspect of hibernation including robust monitoring of metabolic needs or seasonal photoperiod and temperature rhythms. Information encoded by endocrine signals is integrated with incoming information to the hypothalamus to control the timing of euthermic arousals or re-entry into a heterothermic state. To survive the drastic changes imposed upon itself, a hibernator similarly requires mechanisms for its survival upon hibernation cessation, namely through defense of its neurons against neurotoxic and degenerative signals. The following chapter describes the plethora of changes within the mentioned systems and pathways, that are either required for entry into, or for the continuation of hibernation. Exploring differences between hibernating and euthermic organisms, and comparisons of mechanisms that allow hibernation in different species, broadens researchers' understanding of the organization and regulation of mammalian nervous systems, and may prove fruitful for further discoveries about the extent of mammalian capabilities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".