Atypical Structural Connectivity and Integrity in Children with Hydrocephalus and its Relation to Executive Function
Bibliographic record
Abstract
Infants with hydrocephalus are a high-risk group for adverse neurodevelopmental outcomes, including impairments in executive functions such as goal-directed behaviour, focusing, and shifting attention. The current pilot study aimed to profile white matter and executive dysfunction in school-aged children with ventriculoperitoneal (VP) shunted hydrocephalus and age-matched healthy controls using the Behaviour Rating Inventory for Executive Functions and diffusion tensor imaging. To assess the degree of similarity between patient structural networks and controls, probabilistic streamlines between striatal and cortical regions and their respective diffusivity metrics were assessed. For a number of patients with hydrocephalus, white matter in the striatal-executive network showed significant deviation from a healthy control profile. Patients with higher global executive dysfunction also had lower correlations of striatal-executive fractional anisotropy with the healthy control profile. Future studies with larger samples can explore factors such as etiology that are likely to contribute to aberrant white matter and executive dysfunction.
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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) | 0.001 | 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".