Cognitive Performance and the Alteration of Neuroendocrine Hormones in Chronic Tension‐Type Headache
Bibliographic record
Abstract
Tension-type headache (TTH) is the most prevalent primary headache. Chronic TTH (CTTH), the most serious form of TTH, is refractory, with a high socio-economic burden. Research studies have shown patients with migraine often had cognitive impairment, but few studies have focused on the cognition in patients with CTTH. In this study, we assumed that patients with CTTH also have cognitive impairments, which are modulated by the neuroendocrine state. Participants were recruited, including patients with CTTH and healthy controls. Cognitive ability was evaluated using the Montreal Cognitive Assessment and the Nine Box Maze Test. The administration of neuroendocrine hormones has been established to be associated with cognitive performance, and we detected the hormonal changes in the hypothalamus-pituitary-adrenal axis, the hypothalamus-pituitary-thyroid axis, and gonadotropin-releasing hormone. These results showed that compared to the controls, significant cognitive impairment and neuroendocrine dysfunction were present in the patients with CTTH. We also assessed the correlations between the neuroendocrine hormones and Pittsburgh Sleep Quality Index score, 17-term Hamilton's Depression Scale score, pain intensity, and duration of pain to determine whether the neuroendocrine hormones had any associations with these symptoms of CTTH. These results showed that changes in neuroendocrine hormones were involved in these symptoms of CTTH. Intervention with the neuroendocrine state may be a strategy for CTTH treatment.
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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 | 0.002 |
| 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) | 0.001 | 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".