Behavioral Changes and Long-Term Cortical Thickness Alterations in Women with Fibromyalgia
Bibliographic record
Abstract
OBJECTIVES: The purpose of this study was to examine long-term brain and behavioral changes in patients with fibromyalgia (FM) compared to healthy individuals. METHODS: Data from 33 female volunteers with FM and 33 healthy controls women paired by age and school degree were used to analyze the cortical thickness from high-resolution T1-weighted magnetic resonance imaging (MRI) obtained through a 3T-MRI scanner. Additionally, the Toronto Alexithymia Scale, the Positive and Negative Affect Scale, the emotion regulation questionnaire (ERQ), and the Hamilton Depression and Anxiety rating scales were used to evaluate the behavioral changes. RESULTS: The findings indicate significant cortical structure differences in the right cerebral hemisphere between groups in the insular anterior cortex precentral and postcentral gyrus (P < .001). The FM group scored higher for alexithymia (P < .01), negative affect (P < .01), anxiety (P < .01), and depression (P < .01) symptoms, on the other hand, scored lower for positive affect (P < .01). No differences were found on the left cerebral hemisphere. Furthermore, there was a negative correlation between the right insular anterior cortex and Toronto Alexithymia Scale (P < .001). CONCLUSION: This study showed long-term brain and behavioral changes in patients with FM, suggesting notable neurophysiological alterations associated with this chronic pain condition. It provides new insights into how FM may affect brain health and potential biomarkers for the condition.
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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 | 0.000 | 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".