The single-bout post-exercise executive benefit is independent of aerobically supported metabolic costs
Bibliographic record
Abstract
Recent work by our group has shown that a 10-minute bout of aerobic exercise improves executive-related oculomotor control (Samani and Heath 2018: Neuropsychologia). In the present work we sought to determine whether specific and aerobically defined metabolic costs influence the magnitude of the single-bout post-exercise executive benefit. Participants (N=12) completed 10-minute exercise sessions – via cycle ergometer – at moderate (80% of lactate threshold [LT]), heavy (15% of the difference between LT and VO2 peak) and very-heavy (50% of the difference between LT and VO2 peak) intensities determined via an incremental ramp test to volitional exhaustion. Pre- and post-exercise executive function was examined via the antisaccade (and prosaccade) task wherein participants completed saccades mirror-symmetrical to a visual stimulus. Because antisaccades are supported via the same frontoparietal networks as modified following single-bout and chronic exercise, and are measured in high temporal resolution, they represent an ideal tool for examining exercise-related changes in executive function. Results showed a 20 ms reduction in pre- to post-exercise antisaccade RTs (p
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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) | 0.003 | 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".