Infarction in the Territory of Anterior Cerebral Artery:Analysis of Clinical Manifestation and MRI Characters
Bibliographic record
Abstract
Aim:To investigate the clinical manifestation and neuro-imaging changes of infarction in the territory of anterior cerebral artery(ACA) to guide the clinical work.Methods:The clinical data of 22 patients who were diagnosed ACA infarction were analyzed.Among them,cognitive functions were examined in 12 patients using Mini-Mental State Examination(MMSE) or Montreal Cognitive Assessment Beijing Version (MoCA).Results:In the 22 ACA infaction patients,corpus callosum(n=16) and interior side of frontal lobe (n=16) were most frequently affected.The most common symptom was motor dysfunction(n=20),in which leg weakness dominant hemiparesis(n=7) and leg monoparesis(n=4) were the main form.Other manifestations include hypobuli/indifference(n=12),urinary disorder(n=10),sensory defect(n=7) and aphasia(n=3).Among the 12 patients whose cognitive functions were examined,8 persons showed cognitive dysfunction. Conclusion:There are various clinical features of ACA infarction,and identifying this particular territory of brain infarction should be careful.
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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".