Structural Changes in the Cerebrum, Cerebellum and Corpus Callosum in Migraine Patients
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to demonstrate the relationship among the cerebrum, cerebellum and corpus callosum in migraine patients. METHODS: This work was conducted with cooperation of the Turgut Özal Medical Faculty, Department of Anatomy and Neurology. Migraine patients were divided into four groups: new patients; 1-5 years; 5-10 years; and, more than 10 years. All patients (n=75) and control subjects (n=20) underwent Magnetic Resonance Imaging (MRI) and brain images were processed by ONIS and Image J. Data were analyzed using the planimetric method. RESULTS: Cerebrum, cerebellum and corpus callosum volume were calculated for all subjects. The footprints of the callosum were as follows: healthy control subjects, new patients and 1-year patients: 12.8%, 5 years: 11.7% and more than 10 years: 10.7%. The cerebrum volume was as follows: healthy control subjects: 1152 cm3, 5-10 years: 1102 cm3 and more than 10 years: 1002 cm3. DISCUSSION: The results of our study showed atrophy in the cerebrum, cerebellum and corpus callosum of chronic migraine patients. This atrophy was greater in the patients with aura migraines. CONCLUSION: Our study confirmed that a migraine is an episodic disease that seriously affects the CNS.
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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 | 0.000 | 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".