Brain activity and autonomic regulation in untreated migraine patients
Bibliographic record
Abstract
Abstract Migraine causes intense pain, significant disability, deficits in attention and memory, slowed information processing, and cognitive disorders. However, it is unclear how migraine, cardiovascular, and cerebral issues impact daily life or relate to future adverse events. To evaluate the brain activity and autonomic regulation in untreated migraine patients. In the present case-control study, we compared untreated migraine patients with healthy controls. The participants underwent cognitive testing (Stroop Color Test, Trail Making Test, Addenbrooke's Cognitive Examination, and Reaction Time Test), brain activity measurement (MindWave Mobile), and autonomic regulation assessment via heart rate variability (Polar V800). No differences were found between the groups in terms of cognitive test scores. However, the healthy controls consistently showed increased variation in brain activity during the cognitive tests, while migraine patients exhibited decreased activity across all tests (p < 0.05). During the Stroop Color Test, the controls showed a positive change in brain activity (Δ = 5.12 ± 3.64) while the migraine patients showed a negative change (Δ = −5.41 ± 2.21). In addition, the control group demonstrated a normal autonomic response, with increased sympathetic activity (low-frequency [LF] band: 70.2–84.4 Hz) and decreased parasympathetic activity (high-frequency [HF] band: 29.6–15.6 Hz) during cognitive tasks (p < 0.05). In contrast, the migraine group showed imbalanced autonomic regulation, characterized by minimal changes in both sympathetic (LF band: 74.0–74.8 Hz) and parasympathetic activity (HF band: 25.9–25.1 Hz) (p > 0.05). Despite the similar cognitive test scores, migraine patients exhibited reduced variation in brain activity during cognitive tests and an imbalanced autonomic regulation, characterized by decreased sympathetic activity and increased parasympathetic activity.
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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 | 0.001 | 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".