Effect of Acute Exercise on Brain Activation in Children
Bibliographic record
Abstract
Accumulating evidence suggests that acute exercise is beneficial for attention and cognitive functions in children. However, the persistence in time of the ameliorations measured after a single session of physical activity and the mechanisms underlying this effect remain important issues that need to be investigated. PURPOSE: To examine the immediate effect of a single session of sub maximal exercise on cerebral activation in children over a time window of 30 minutes post-exercise. METHODS: Twelve 9- to 11-year-old boys pedaled 30 minutes on a cycle ergometer at a moderate intensity (137±6 bpm). Electrophysiological activity (EEG) was recorded before physical exercise, 10-, 20- and 30 minutes post-exercise at 8 electrodes sites (F3, F4, C3, C4, P3, P4, O1, O2). Relative spectral power analyses were conducted for delta (1-4 Hz), theta (4-8 Hz), alpha1 (8-10 Hz), alpha2 (10-12 Hz), beta1 (12-20 Hz) and beta2 (20-30 Hz) bands. RESULTS: No significant change in relative spectral power was observed 10 minutes post-exercise when compared to the pre-exercise measurement (all ps>0.05). Relative spectral power in the alpha1 band decreased from 10 to 20 minutes post-exercise (25±9 vs. 22±8 %, p<0.05). Relative power in alpha2 band increased 20 minutes post-exercise (18±8 %) and 30 minutes post-exercise (17±7 %) when compared to pre-exercise measurements (16±7 %), all ps<0.05. CONCLUSIONS: These concomitant changes occurring in the lower and in the upper alpha suggest an augmentation in vigilance that is usually associated to a general improvement in cognitive performance. The present results also suggest that a single session of sub maximal exercise produces physiological changes in the brain that last at least 30 minutes post-exercise.
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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".