Characteristics of migraine visual aura in Southern Brazil and Northern USA
Bibliographic record
Abstract
BACKGROUND: Migraine aura, made up of one or more neurological symptoms arising from the cortex or brainstem, is a complex neurological phenomenon. Visual aura is the most frequent aura manifestation. Studying the subjective components of visual aura makes it possible to identify common characteristics. OBJECTIVE: To thoroughly describe the characteristics of migraine visual aura in patients with migraine with aura. METHODS: We performed a retrospective, descriptive study of the visual aura of 122 migraine patients collected at two headache clinics in the Americas. This study was designed to determine the characteristics of a typical visual aura. RESULTS: The most common features of the visual aura in our study are that it occurs before the headache with a gap of less than 30 minutes, lasts 5 to 30 minutes, has a gradual onset, usually begins peripherally, is unilateral, and shimmers. Furthermore, the location of typical visual aura in the visual field has no fixed relationship to headache laterality, is slightly more often without color, and is often described as small bright dots and zigzag lines. Blurred vision, not typically considered to be an aura phenomenon of cortical origin, is in fact the most frequently reported visual symptom. CONCLUSIONS: Migraine visual aura is heterogeneous and pleomorphic, and some of our findings run contrary to common beliefs.
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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 | 0.001 |
| 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".