Adult hippocampal neurogenesis and voluntary running activity: Circadian and dose‐dependent effects
Bibliographic record
Abstract
Running activity increases cell proliferation and neurogenesis in the dentate gyrus of adult mice. The present experiment was designed to investigate whether the effect of activity on adult neurogenesis is dependent on the time of day (circadian phase) and the amount of activity. Mice received restricted access to a running wheel (0, 1, or 3 hr) at one of three times of day: the middle of the light phase (i.e., when mice are normally inactive), dark onset (i.e., when mice begin their nocturnal activity), and the middle of the dark period (i.e., when mice are in the middle of their active period). Cell proliferation and net neurogenesis were assessed after incorporation of the thymidine analog bromodeoxyuridine (BrdU) and immunohistochemical detection of BrdU and neuronal markers. Running activity significantly increased cell proliferation, cell survival, and total number of new neurons only in animals with 3 hr of wheel access during the middle of the dark period. Although activity was positively correlated with increased neurogenesis at all time points, the effects were not statistically significant in animals with wheel access at the beginning of the dark period or during the middle of the light period. These data suggest that the influence of exercise on cell proliferation and neurogenesis is modulated by both circadian phase and the amount of daily exercise, thus providing new insight into the complex relationship between physiological and behavioral factors that can mediate adult neuroplasticity.
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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 | 0.001 |
| 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".