<sup>1</sup>H-MRS of hippocampus in patients after first manic episode
Bibliographic record
Abstract
OBJECTIVES: The investigation of the pathophysiology of bipolar disorder in patients at disease onset is a strategy to avoid the confounding effect of progression of disease or duration of treatment. Our purpose was to investigate in vivo neuronal metabolites in the hippocampus of bipolar disorder patients using proton magnetic resonance spectroscopy ((1)H-MRS) within 3 months after their first manic episode. METHODS: Fifty-eight BD I patients meeting DSM-IV criteria following their first episode of mania and 27 healthy subjects were studied using (1)H-MRS with a 3.0 T Philips Achieva scanner. Voxels with 30 × 15 × 15 mm were placed in the hippocampus on both sides of the brain and the signal was collected using a PRESS sequence with TE = 35 ms and TR = 2000 ms. Data analysis was performed using the LC Model software. RESULTS: N-Acetyl-aspartate (NAA), choline (Cho), myo-inositol (mI), creatine (Cre) and glutamine + glutamate (Glx) levels were compared between the groups and no statistically significant differences were found. CONCLUSIONS: Our results suggest that early in the course of BD there are no alterations in neuronal metabolism or vulnerability in the hippocampus after the first manic episode.
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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 | 0.000 |
| 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".