Neonatal Watershed Brain Injury on Magnetic Resonance Imaging Correlates With Verbal IQ at 4 Years
Bibliographic record
Abstract
OBJECTIVE: We have previously described patterns of neonatal brain injury that correlate with global cognitive and motor outcomes. We now examine, in survivors of neonatal encephalopathy (presumed secondary to hypoxia-ischemia) without functional motor deficits, whether the severity and neuroanatomical involvement on neonatal MRI are associated with domain-specific cognitive outcomes, verbal and performance IQ, at 4 years of age. METHODS: In this prospective study, neonatal MRIs of 81 term infants with neonatal encephalopathy were scored for degree of injury in 2 common patterns: watershed distribution and basal ganglia distribution. Follow-up evaluation at 4 years of age by examiners blinded to clinical history and MRIs included a 5-point neuromotor score and the Wechsler Preschool and Primary Scale of Intelligence-Revised. In 64 subjects with no functional motor impairment, test of trend was used to examine the association of ordered watershed-distribution and basal ganglia-distribution MRI scores with mean verbal and performance IQ. RESULTS: Lower verbal and performance IQs were seen with increasing degree of injury on both watershed-distribution and basal ganglia-distribution scales in univariate analyses. When each MRI pattern score was adjusted for the other, only the association of decreasing verbal IQ with increasing watershed-distribution injury remained significant. A suggestion of decreasing verbal IQ with increasing basal ganglia-distribution injury was also seen in the multivariate model, whereas no association was seen between performance IQ and severity of injury in either MRI pattern. CONCLUSIONS: In survivors of neonatal encephalopathy without functional motor deficits at 4 years of age, an increasing severity of watershed-distribution injury is associated with more impaired language-related abilities.
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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) | 0.000 | 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 | 0.000 |
| 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".