Abstract 54: Bilateral Developmental Alterations in Cortical Morphology in Children With Perinatal Stroke
Bibliographic record
Abstract
Perinatal stroke (PS) causes hemiparetic cerebral palsy (CP) and lifelong disability. Compensatory changes in the nonlesioned hemisphere may mediate residual function and represent targets for neuromodulation. Region-based approaches may reveal relationships between cortical thickness of nonlesioned primary motor/sensory cortices and motor function. This study uses surface-based morphometry to explore cortical alterations in the nonlesioned hemisphere in children after perinatal stroke. Children aged 6-19 with MRI-confirmed unilateral perinatal stroke and CP underwent T1-weighted anatomical imaging. Participants were classified as arterial ischemic stroke (AIS; n=36), periventricular venous infarction (PVI; n=38), or typically developing controls (TDC; n=53). Group differences in cortical thickness (distance between grey/white matter boundary and pial surface), grey matter volume, gyrification and sulcal depth and relationships between these morphology metrics and validated measures of motor/executive function were explored. Group comparisons revealed less cortical thickness, greater gyrification, and greater surface area in the nonlesioned hemisphere in both AIS and PVI as compared to TDC. Greater volume and sulcal depth were observed in the nonlesioned hemisphere for AIS. The PVI group showed greater volume in the cingulate cortex and less volume in the precuneus relative to TDC. The AIS group showed more widespread differences than the PVI group in volume and other cortical surface parameters when compared with TDC. Only modest correlations were observed between morphometric changes and clinical function. We suggest that broad differences in structural developmental plasticity occur in the nonlesioned hemisphere after perinatal stroke, particularly the larger lesions seen with AIS, and may represent novel targets for therapeutic neuromodulation.
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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 | 0.001 |
| 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) | 0.002 | 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".