Social cognition in chronic migraine with medication overuse: a cross-sectional study on different aspects of mentalization and social relationships
Bibliographic record
Abstract
BACKGROUND: Social cognition refers to all mental operations to decipher information needed in social interactions. Here we aimed to outline the socio-cognitive profile of Chronic Migraine with Medication Overuse (CM + MO), given they are recognized to be at risk of socio-cognitive difficulties. Given the multidimensionality of this construct, we considered: (1) socio-cognitive abilities, (2) socio-cognitive beliefs, (3) alexithymia and autism traits, and (4) social relationships. METHODS: Seventy-one patients suffering from CM + MO, 61 from episodic migraine (EM), and 80 healthy controls (HC) were assessed with a comprehensive battery: (1) the Faux Pas test (FP), the Strange Stories task (SS), the Reading Mind in the Eyes test (RMET), (2) the Tromsø Social Intelligence Scale, (3) the Toronto Alexithymia Scale, the Autism Spectrum Quotient, (4) the Lubben Social Network Scale, the Friendship Scale. RESULTS: CM + MO: (1) performed similar to EM but worse than HC in the FP and SS, while they were worse than EM and HC in the RMET; (2) were similar to EM and HC in social intelligence; (3) had more alexithymic/autistic traits than EM and HC; (4) reported higher levels of contact with their family members but felt little support from the people around them than HC. CONCLUSIONS: CM + MO results characterized by a profile of compromised socio-cognitive abilities that affects different dimensions. These findings may have a relevant role in multiple fields related to chronic headache: from the assessment to the management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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) | 0.000 | 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 teacher head, 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".