Exposure to rotational acceleration over the course of one athletic season is related to impairments in an index of dynamic cerebral autoregulation
Bibliographic record
Abstract
Objective To examine the relationship between cerebral autoregulation changes and impact exposuresthroughout a season of contact sports (hockey or football). Design Prospective Cohort. Setting Laboratory. Participants 40 male contact sport athletes (19.4±1.2 years); to date, 3 cross-country athletes (20.0±1.0 years) have completed testing (non-contact controls). Intervention Participants completed testing prior to the start of their athletic seasons (T1), and again after the conclusion of each season (T2). Blood pressure (BP) oscillations were driven by stand-squat manoeuvres at 0.05 and 0.10 Hz. BP and cerebral blood velocity (CBV) in the middle cerebral artery were indexed non-invasively using finger photoplethysmography and transcranial Doppler ultrasound, respectively. RM-ANOVA independent variables included time (2) and frequency (2). Outcome measures Point-estimates ofcoherence(correlation),phase(synchronisation), andgain(amplitude buffer) transfer function analysis metrics were calculated. Biomechanical data on head-impact exposure was estimated in a subset of contact-sport athletes (n=29) using the xPatch (X2 Biosystems), affixed to the right mastoid. Results Significant frequency-time interaction forgainin contact-sport athletes (p=0.048) but not controls (p=0.213). Simple effects analysis revealed a time effect at 0.10 Hz (p<0.001), wherebygainincreased at T2 (95% CI: 0.070–0.229%/%). The ΔgainT2-T1at 0.10 Hz was correlated withestimated cumulativerotational acceleration exposure (r=0.462, p=0.015). Conclusions These findings suggest cumulative exposure to the rotational component of sustained head-impactsduring participation in a season of contact-sport (hockey or football) impairs the ability of the cerebrovasculature to buffer BP challenges experienced during everyday activities. Competing interests None.
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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) | 0.002 | 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".