Acute Sleep Deprivation and Cerebral and Skeletal Muscle Oxygenation: A Review and Future Directions
Bibliographic record
Abstract
Cerebral and skeletal muscle oxygenation are critical research areas for understanding blood flow and oxygen delivery during various physiological states, including cognitive tasks and exercise. Measuring oxygenated and deoxygenated hemoglobin through functional near-infrared spectrometry (fNIRS) enables non-invasive assessment of cerebral and skeletal muscle oxygenation. Research using fNIRS to explore oxygenation after sleep deprivation (SD) is limited and often contradictory. We reviewed how SD affects cerebral and muscle oxygenation as part of a broader review of how SD affects exercise through altered physiologic and perceptual responses. Herein, we consolidate existing knowledge, identify gaps, and suggest directions for future investigation. A comprehensive literature review was conducted via predefined search parameters using PubMed and Google Scholar, focusing on studies that employed fNIRS to measure cerebral and/or skeletal muscle oxygenation in humans after SD (total or partial) or in individuals with chronically fragmented sleep due to obstructive sleep apnea (OSA). Select studies report increased cerebral oxygenation post-SD, potentially due to compensatory mechanisms and increased brain activity. Contrarily, several studies indicate decreased cerebral oxygenation following SD, potentially due to impaired endothelial function, cortical neurovascular coupling, suppressed brain activity, or decreased oxygen consumption. Cerebral oxygenation may be associated with perceived exertion, suggesting meaningful links to exercise. Interestingly, exercise training may mitigate the effects of SD on oxygenation. The only study investigating skeletal muscle oxygenation with regards to sleep status found a lower tissue saturation index in OSA participants compared to controls, though hemoglobin parameters did not differ. The effect of SD on oxygenation remains equivocal, with no studies fully elucidating the mechanisms underlying these changes. This review is the foundation for an ongoing prospective study investigating the impact of acute SD on exercise capacity and fNIRS-derived cerebral and skeletal muscle oxygenation, with two participants enrolled to date and interim analyses planned at n=5 participants.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".