Implications of adult hippocampal neurogenesis in antidepressant action
Bibliographic record
Abstract
In the dentate gyrus of the hippocampus, cell birth and maturation into neurons, or neurogenesis, occur throughout the lifetime of animals and humans. Multiple factors have been shown to regulate adult neurogenesis, and a number of findings in this field have had a large impact on basic and clinical research in depression. It has been reported that both physical and psychosocial stress paradigms, as well as some animal models of depression, produce a decrease in hippocampal cell proliferation and neurogenesis. Conversely, long-term, but not short-term, treatment with different classes of antidepressant drug increases cell proliferation and neurogenesis. Patients with depressive disorders or post-traumatic stress disorder have reduced hippocampal volume. Given this interaction of stress, depression and neurogenesis, a current hypothesis is that reduced adult hippocampal cell proliferation or neurogenesis may be involved in the pathophysiology of depression and that reversal or prevention of the decrease in neurogenesis may be one way in which the antidepressant drugs exert their effects. Research from this emerging field will further our understanding of the effects of stress and depression on the brain and the mechanism of action of antidepressant drugs.
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) | 0.002 | 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".