Promoting brain health and resilience: The effect of three types of acute exercise on affect, brain-derived neurotrophic factor and heart rate variability
Bibliographic record
Abstract
Physical exercise supports brain health and resilience through a variety of factors involving affective states, neurotrophins, and autonomic activity. These factors play a crucial role in supporting mental and physical health across the lifespan. We evaluated the acute effects of moderate-intensity continuous exercise, high-intensity interval exercise, and resistance exercise on positive and negative affect, Brain Derived Neurotrophic Factor (BDNF), and Heart Rate Variability (HRV). In a repeated measures cross-over design, 12 participants over 5 weeks underwent all three exercise types while affect, phlebotomy, and cardiac, measures were taken pre-, immediately post-, 30-minutes, and 60-minutes post-exercise. We found an increase in plasma BDNF concentrations irrespective of exercise type from immediately pre-exercise to post-exercise. The HRV analysis identified a decrease in root mean square of successive differences (RMSSD) immediately post-exercise, followed by a gradual increase to above pre-exercise levels at 60-minutes post exercise. We also observed a decrease in negative affect following exercise that was sustained till 60-minutes post-exercise. Taken together, the results suggest that although exercise type did not differentially affect negative affect, BDNF, or HRV, all three measures suggested a consistent physiological and psychological improvement post-exercise, highlighting the potential benefits of various forms of exercise on aspects of brain health and resilience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".