A Single Bout of Intermittent Hypoxia Increases Cerebral Blood Flow and Supports an Executive Function Benefit
Bibliographic record
Abstract
ABSTRACT Alternating between brief normoxic and hypoxic intervals (i.e., intermittent hypoxia: IH) increases cerebrovascular dilation, cerebral blood flow (CBF), and O 2 extraction. Some work has shown that the physiological adaptations arising from multiple IH sessions improve brain health and executive function (EF)—a finding linked to a post‐intervention improvement in cortical hemodynamics. Here, we provide a first demonstration of whether the physiological changes associated with a single IH session provide a transient post‐intervention EF benefit. Healthy young adults ( N = 24) completed an IH protocol entailing 12 alternating 5‐min normoxic (P ET O 2 = 100 mmHg) and hypoxic (P ET O 2 = 50 mmHg) intervals that were normocapnic and isocapnic, and on a separate day completed a time‐matched normoxic control protocol. Prior to (T0), and immediately (T1) and 30 min (T2) following each protocol, EF was assessed via the antisaccade task. Antisaccades require a goal‐directed eye movement (i.e., saccade) mirror‐symmetrical to a target and provide the resolution to detect subtle EF changes. As expected, hypoxic intervals decreased arterial and cerebral tissue O 2 saturation and increased CBF as estimated via near‐infrared spectroscopy and transcranial Doppler ultrasound ( p s < 0.001). In turn, antisaccade reaction times (RT) did not differ between T0 and T1 ( p = 0.29); however, at T2 a reliable RT reduction was observed ( p = 0.004). Notably, cortical hemodynamic changes during the hypoxic intervals did not correlate with the antisaccade RT benefit observed at T2 ( p s > 0.17). Thus, a single bout of IH provided a transient post‐intervention EF “boost” that was not linked to a unitary physiological adaptation to a reduced O 2 environment.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".