Visuo-perceptual Abilities in Children With Perinatal Arterial Ischemic Stroke and Associated White Matter Microstructure
Bibliographic record
Abstract
Visuoperceptual skills are crucial for childhood development yet remain poorly understood in children with perinatal arterial ischemic stroke (PAIS). This study examined visuoperceptual performance and structural connectivity of visual pathways in children with perinatal arterial ischemic stroke and typically developing controls. Participants completed the Motor-Free Visual Perceptual Test (MVPT), Apples Test, Jerry John's Basic Reading Inventory (BRI), and diffusion-weighted magnetic resonance imaging (MRI) with tractography of optic pathways. Visuoperceptual and reading scores were compared by group and lesion laterality. Twenty-six perinatal arterial ischemic stroke and 27 typically developing controls were recruited. Perinatal arterial ischemic stroke children scored significantly lower on the Motor-Free Visual Perceptual Test and Jerry John's Basic Reading Inventory and took longer on the Apples Test. Right hemisphere lesions were associated with greater deficits in visuoperceptual and reading than left-sided lesions. No correlations were found between white matter microstructure and visuoperceptual scores. Findings highlight the need for early visuoperceptual screening in perinatal arterial ischemic stroke, regardless of motor status, and further investigation by lesion laterality.
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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 | 0.001 | 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".