Alexithymia moderates brain function during suppression of negative emotions in fibromyalgia
Bibliographic record
Abstract
ABSTRACT: Fibromyalgia is associated with altered brain function and emotion regulation difficulties. Alexithymia is common in fibromyalgia and may further affect emotion regulation in this population. This study examined the interplay of alexithymia and fibromyalgia on brain function during suppression of negative emotions. Twenty-seven female participants with fibromyalgia and 30 controls performed an emotion regulation task while undergoing functional magnetic resonance imaging. Alexithymia was assessed using the Toronto Alexithymia Scale (TAS). A series of whole-brain multiple linear regressions was performed to estimate the effects of group, alexithymia, and their interaction on activation and seed-based task-related functional connectivity. Reduced activation in the left middle frontal gyrus during negative emotion suppression, as well as reduced left amygdala-right temporo-parietal junction connectivity, increased left anterior insula-right posterior insula connectivity, and increased left anterior cingulate cortex-precuneus and inferior parietal lobule connectivity were evident in fibromyalgia. Increasing alexithymia was associated to stronger left anterior insula-inferior parietal lobule connectivity, across all groups. After significant association between the group-by-TAS interaction and right amygdala-lingual gyri connectivity, moderation analysis indicated that increasing alexithymia was associated with reduced connectivity in healthy controls but not in fibromyalgia. This study highlights disrupted integration between emotional, interoceptive, and self-referential networks as a key feature of negative emotion suppression in fibromyalgia. Alexithymia moderates these disruptions by reducing emotional clarity and increasing internal focus. Interventions enhancing interoceptive awareness, fostering emotional understanding, and strengthening cognitive regulation may help normalise neural function and improve emotional functioning, especially in individuals with elevated alexithymia.
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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) | 0.002 | 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".