[I-123] ADAM and SPECT in patients with borderline personality disorder and healthy control subjects
Bibliographic record
Abstract
OBJECTIVE: Serotonergic dysfunction is considered to be involved in the pathophysiology of borderline personality disorder (BPD). The aim of this study was to investigate serotonin transporter availability in patients with BPD as a marker of the central serotonergic system. METHODS: Eight unmedicated patients with BPD and 9 healthy control subjects received single photon emission computed tomography (SPECT) 4 hours after injection of 185 MBq [I-123] ADAM (2-([2-([dimethylamino]methyl)phenyl]thio)). As a measure of brain serotonin transporter (SERT) availability, ratios of specific-to-nonspecific [I-123] ADAM binding for the brainstem and hypothalamus were calculated with an occipital reference. Levels of impulsiveness and depressive symptoms were assessed with the Barratt Impulsiveness Scale and the Beck Depression Inventory. RESULTS: Mean specific-to-nonspecific ratios showed a 43% higher brainstem and a 12% higher hypothalamus ADAM binding in patients, compared with control subjects. We found significant correlations of ADAM binding with both age and impulsiveness but not depression. Associations of BIS scores with ADAM binding remained significant after controlling for age and depression (r = 0.69, p < 0.01). CONCLUSION: The study provides evidence of a serotonergic dysfunction in patients with BPD and suggests a serotonergic component in the pathophysiology of the disorder. SERT binding reflected the level of impulsiveness as a common feature in BPD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".