Acute fall and long‐term rise in oxygen saturation in response to meditation
Bibliographic record
Abstract
The effects of meditation on arterial and tissue oxygenation are unknown and difficult to assess because respiration is often altered, directly or indirectly, during meditation practice. Thus, changes in respiration may affect cardiovascular responses independently from meditation. In this study, we aim to isolate the specific effect of meditation on arterial and tissue oxygenation and other cardiorespiratory indexes while systematically controlling for the role of respiration. Furthermore, we aim to clarify to what extent prior expertise in meditation practice is needed to observe reliable changes. Eighty participants, half with and half without prior meditation experience, were tested while pacing breathing at predetermined rates, in the presence or absence of mantra meditation instructions, and in a body scan meditation that did not involve controlled breathing. Continuous recordings were acquired for arterial and brain oxygenation, respiratory excursion, electrocardiogram, skin vasomotion, and blood pressure. In both groups, meditation acutely decreased arterial and cerebral oxygen saturation, reduced chemoreflex sensitivity, and prolonged the RR interval, independently of respiration. Conversely, slow breathing improved heart rate variability, independently of concurrent meditation. In addition to the immediate effects of meditation, the individuals with long-term practice of meditation had overall higher arterial and cerebral oxygen saturation, overall lower blood pressure, and slower baseline respiration. Meditation acutely lowers arterial and tissue oxygenation. A repeated exposure to this condition may lead to long-term adaptation and, through increased ventilatory efficiency and improved gas exchanges, to an increase in baseline oxygenation. Meditation induces favorable changes in cardiovascular and respiratory end points of clinical interest.
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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".