Hippocampal neurochemical markers in bipolar disorder patients following the first-manic episode: A prospective 12-month proton magnetic resonance spectroscopy study
Bibliographic record
Abstract
OBJECTIVE: Previous studies reported decreased N-acetyl aspartate and increased Glx (the sum of glutamate plus glutamine) in bipolar disorder. Since these studies included patients at different stages of illness, it is unknown whether these changes have a causal role or a consequence of multiple episodes and treatments. The studies in early-stage bipolar disorder patients have the potential to provide answers to these issues. Therefore, we evaluated N-acetyl aspartate and Glx levels in hippocampi of first-episode bipolar disorder patients and health subjects at baseline and at 12 months, and examined the impact of episode recurrence on these measures. METHOD: We used single-voxel proton magnetic resonance spectroscopy to compare the hippocampal neurometabolites ( N-acetyl aspartate and Glx) levels between 41 patients with bipolar disorder following recovery from their first-manic episode and 27 matched healthy subjects at recruitment and 12 months later. We also compared N-acetyl aspartate and Glx levels between patients who had a recurrence of a mood episode and those who did not. RESULTS: There was no main effect of either group (diagnosis) or time for hippocampal N-acetyl aspartate and Glx levels in bipolar disorder patients and healthy subjects. We also did not find any group-by-time interaction for the levels of these metabolites. There were also no differences in N-acetyl aspartate and Glx between patients who experienced a recurrence of a mood episode and those who did not over 12-month follow-up. CONCLUSION: Our data suggest that N-acetyl aspartate and Glx levels are not altered in early stage bipolar disorder. Further, these data suggest that episode recurrence in early stages does not have a significant impact on the levels of these metabolites. These may suggest that there may be an early window for intervention to potentially arrest neuroprogression of the disease.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".