Bibliographic record
Abstract
OBJECTIVE: To describe the clinical features, MRI findings, and the pathogenesis of the pure midbrain infarction. METHODS: Forty patients with infarcts limited to the midbrain were studied. MRI and angiography (mostly MR angiography) were performed in all patients. RESULTS: Clinical manifestations included gait ataxia in 27 (68%) patients, dysarthria in 22 (55%), limb ataxia in 20 (50%), sensory symptoms in 17 (43%), third nerve palsy in 14 (35%), definitive limb weakness (< or =IV/V) in nine (23%), and internuclear ophthalmoplegia in five (13%). According to MRI findings, the lesions were categorized into four groups. The anteromedial group (n = 18) was characterized by oculomotor disturbances (89%), ataxia (89%, bilateral in 17%), and sensory changes (39%) usually restricted to the perioral and hand areas. Lesions restricted to the subcortical area (n = 10) were usually related to small vessel disease (SVD) (78%), whereas those involving the medial surface (n = 8) were caused by large vessel disease (LVD) (78%). The anterolateral group (n = 11) was characterized by ataxia (70%) and definitive hemiparesis (30%) usually caused by LVD (82%). The combined group (n = 6) had frequent oculomotor disturbances (83%), definitive hemiparesis (67%), and ataxia (50%) and was usually associated with LVD (67%). The lateral group (n = 2) was characterized by prominent sensory symptoms. The prognosis was generally good except for one patient with a bilateral lesion. CONCLUSION: Clinical-radiologic correlation study yields four distinct subgroups: anteromedial, anterolateral, combined, and lateral. Large vessel disease and small vessel disease are usual pathogenic mechanisms, whereas cardiogenic embolism is rare.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".