Dysfunctional energy metabolisms in fibromyalgia compared with healthy subjects
Bibliographic record
Abstract
This study aimed to investigate the levels of creatine (Cr) metabolites in the anterior cingulate cortex (ACC), thalamus, and insula of patients with fibromyalgia (FM) using proton magnetic resonance spectroscopy (MRS). The levels of Cr and phosphocreatine (PCr) relative to total Cr (tCr), which includes Cr and PCr, in the ACC, thalamus, and insula were determined using MRS in 12 patients with FM and in 13 healthy controls. The FM group had lower levels of PCr/tCr in the ACC and right insula compared to healthy controls. There was a negative correlation between Cr/tCr in the ACC and total pain levels (McGill Pain Questionnaire-Total; r = -0.579, p = 0.049) and between Cr/tCr in the left insula and affective pain levels (McGill Pain Questionnaire-Affective; r = -0.638, p = 0.047) in patients with FM. In addition, there were negative correlations between stress levels (Stress Response Inventory) and Cr/tCr in the right (r = -0.780, p = 0.005) and left thalamus (r = -0.740, p = 0.006), as well as in the right insula (r = -0.631, p = 0.028) in patients with FM. There were negative correlations between symptom levels of post-traumatic stress disorder (PTSD; PTSD checklist) and Cr/tCr in the right (r = -0.783, p = 0.004) and left thalamus (r = -0.642, p = 0.024) of patients with FM. These findings are paramount to understanding the decisive pathologies related to brain energy metabolism in patients with FM.
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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) | 0.002 | 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".