Voluntary exercise alters the cytoarchitecture of the adult dentate gyrus by increasing cellular proliferation, dendritic complexity, and spine density
Bibliographic record
Abstract
Voluntary exercise produces a dramatic increase in the number of bromodeoxyuridine (BrdU)-positive cells in the adult dentate gyrus (DG); however, it has never been determined whether this increase reflects neurogenic activity or some exercise-induced change in the metabolic processing of systemically injected BrdU. In these experiments, we show that 1) 200 mg/kg is a saturating dose for single injections of BrdU in both control and voluntary exercise animals; 2) there is significantly more cell labeling in animals that exercise when saturating doses of BrdU are employed; 3) high doses of BrdU do not affect the number, appearance, or distribution of labeled cells; 4) voluntary exercise leads to similar increases in the number of cells expressing Ki67, an intrinsic marker of cellular proliferation; 5) both dendritic length and complexity are significantly increased in the DG of animals that exercise; and 6) spine density is significantly greater on dendrites in the DG following voluntary exercise. This study demonstrates that exercise up-regulates neurogenic activity in the DG of adult rats, independently of any putative changes in altered BrdU metabolism, and that it also substantially alters the morphology of dentate granule cell dendrites. The dramatic changes in the cytoarchitecture of the DG induced by voluntary exercise might underlie the enhancement of hippocampal long-term potentiation and hippocampal-dependent memory that our group has previously described. These results suggest that exercise may be an effective component of therapeutic regimes aimed at improving the functioning of individuals with neuropathologies that involve the degradation of cells in the hippocampus.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".