Sub-symptom threshold aerobic exercise improves executive function during the early stage of sport-related concussion recovery
Bibliographic record
Abstract
We examined whether persons with a sport-related concussion (SRC) derive a postexercise executive function (EF) benefit, and whether a putative benefit is related to an exercise-mediated increase in cerebral blood flow (CBF). Participants with an SRC completed the Buffalo Concussion Bike Test to determine the heart rate threshold (HRt) associated with symptom exacerbation and/or voluntary exhaustion. On a separate day, SRC participants - and healthy controls (HC group) - completed 20-min of aerobic exercise at 80% HRt while middle cerebral artery velocity (MCAv) was measured to estimate CBF. The antisaccade task (i.e. saccade mirror-symmetrical to target) was completed pre- and postexercise to evaluate EF. SRC and HC groups showed a comparable exercise-mediated increase in CBF (ps < .001), and both groups elicited a postexercise EF benefit (ps < .001); however, the benefit was unrelated to the magnitude of the MCAv change. Moreover, SRC symptomology was not increased when assessed immediately postexercise and showed a 24 h follow-up benefit. Accordingly, persons with an SRC demonstrated an EF benefit following a single bout of sub-symptom threshold aerobic exercise. Moreover, the exercise intervention did not result in symptom exacerbation and thus demonstrates that a tailored aerobic exercise program may support cognitive and symptom recovery following an SRC.
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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 | 0.000 |
| 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) | 0.001 | 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".