Pituitary gland volume in adolescent and young adult bipolar and unipolar depression
Bibliographic record
Abstract
OBJECTIVES: Few studies have examined pituitary gland size in mood disorders, particularly in adolescents. We hypothesized increase in the pituitary gland size in early-onset mood disorders. METHODS: Thirty subjects between the ages of 13 and 20 years participated in the study. Three groups (control, bipolar I depression and unipolar depression) of 10 subjects each (4 male, 6 female) underwent volumetric magnetic resonance imaging at 1.5 T. RESULTS: Analysis of covariance (covarying for age, sex and intracranial volume) revealed a significant difference in pituitary gland volume amongst the groups [F(2,24) = 7.092, p = 0.014]. Post hoc analysis revealed that controls had a significantly smaller pituitary gland volume than both bipolar patients (p = 0.019) and depressed patients (p = 0.049). Bipolar and depressed subjects did not differ significantly from each other with regard to pituitary gland volume (p = 0.653). Control females had larger pituitary glands than control males [F(1,8) = 10.523, p = 0.012], but no sex differences were noted in the mood disorder groups. CONCLUSIONS: Pituitary glands are enlarged in adolescents with mood disorders compared to controls. Healthy young females have larger pituitary glands than males, but such a difference is not evident in individuals with unipolar depression or bipolar disorder. These findings provide new evidence of abnormalities of the pituitary in early onset mood disorders, and are consistent with neuroendocrine dysfunction in early stages of such illnesses.
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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 | 0.000 | 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) | 0.000 | 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".