Acute sport-related concussion alters cardiac contribution to cerebral oxygenation during repeated squat stands
Bibliographic record
Abstract
Assessment of cerebral oxygenation during repeated squat stands following an acute sport-related concussion (SRC) has the potential to identify physiological changes following SRC. All varsity university athletes completed a pre-season assessment and 53 were followed up within 5-days of suffering an SRC. Of the 53 participants, 29 had continuous beat-to-beat blood pressure (BP; sampled at 200 hz) collected by finger photoplethysmography, and 53 had right prefrontal cortex oxygenation collected by near-infrared spectroscopy (NIRS; sampled at 10 hz). Participants completed a 5-min repeated squat (10 s) stand (10 s) manoeuvre (0.05 hz). Wavelet transformation was applied to the signals, separating them into smooth muscle cell (0.05 to 0.145 hz), respiratory (0.145 to 0.6 hz) and cardiac (0.6 to 2 hz) frequency intervals, with the 5-min squat stand manoeuvre compared from pre-season to post-concussion. A significant amplitude increase (p < 0.05) in oxyhaemoglobin, total haemoglobin and haemoglobin difference following SRC was found at the cardiac interval. During the squat stand dynamic cerebral autoregulation challenge, this exploratory study found an elevated contribution from the heart to the oxygenation response at the right prefrontal cortex, suggestive of a cardiac compensatory response during concussion. Future research with cerebral blood flow alongside NIRS can provide greater insight to dynamic cerebral autoregulation.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".