The Habenula in Mood Disorders: A Scoping Review of Human Studies
Bibliographic record
Abstract
In animal models, the habenula has been identified as a key structure involved in depression. Thanks to recent technological advancements, a burgeoning body of work has also investigated the habenula in the context of human mood disorders. This scoping review aims to synthesize findings from human studies that pertain to the habenula and its relationship with mood disorders. The review was conducted according to PRISMA guidelines. The literature search was performed with PubMed and yielded 93 articles, of which 50 articles were included in the review. We found that the evidence for baseline habenular hyperactivity in human depression is mixed. As for findings from resting-state functional connectivity (RSFC) studies, they were mainly inconsistent across studies. Moreover, we found no evidence indicating that mood disorders are linked to changes in the volume of the habenula. In order to enhance the replicability of findings, given the small size of the habenula, higher image resolution and larger samples are recommended for future studies.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".