Lessons from the laboratory; integrated regulation of cerebral blood flow during hypoxia
Bibliographic record
Abstract
New Findings What is the topic of this review? What is the mechanism underlying the control of human cerebral blood flow in hypoxia and what are the consequences? What advances does it highlight? Although appropriate elevations in cerebral blood flow occur in acute and chronic hypoxia, neuronal processes are more sensitive to even small hypoxic insults; hence, they can result in maladaptive consequences despite maintenance of global oxygen delivery. Exposure to acute or chronic hypoxaemia in otherwise healthy humans results in compensatory increases in cerebral blood flow (CBF) at rest and during exercise, referred to as hypoxic cerebral vasodilatation. These elevations in CBF offset the reduction in arterial oxygen content and maintain cerebral O2 delivery, conforming to the conservation of mass principle. In this review, we discuss the fundamental principles that contribute to the defence of cerebral O2 delivery and the corresponding implications for metabolism. We critically address to what extent the increase in CBF reflects an adaptive or indeed maladaptive physiological response. The molecular mechanisms of CBF regulation in hypoxia are also briefly discussed and future directions proposed.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".