White Matter Integrity and Core Cognitive Function in Children Diagnosed With Sickle Cell Disease
Bibliographic record
Abstract
Children diagnosed with sickle cell disease (SCD) have an increased risk of stroke, often associated with white matter damage and neurocognitive morbidity. Growing evidence suggests that subtle changes in white matter integrity, which do not pass the threshold to be visible on a clinical magnetic resonance image and classified as stroke, may contribute to decreased cognitive performance. We used archived diffusion-weighted imaging and neurocognitive assessment data to identify associations between microstructural changes in normal-appearing white matter and cognitive performance in children with SCD. Study participants included 10 healthy children and 15 pediatric SCD patients (5 with identified lesions and 10 without lesion). After excluding lesioned tissue from analyses, we detected significant increases in apparent diffusion coefficient across the brains of patients in comparison with control children, suggesting compromise to the structure of normal-appearing white matter. Deficits in working memory and processing speed were also apparent in patients. Increased apparent diffusion coefficient and deficiencies in processing speed were again detected in a subanalysis including only the patients without lesion. Correlation analyses evidenced associations between the microstructure of the right frontal lobe and cerebellum, and processing speed. This outcome suggests a relationship between tissue integrity and cognitive morbidity in SCD patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".