Proceedings of the 13th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical
Bibliographic record
Abstract
Hypoxic ischaemic encephalopathy (HIE), an important complication of perinatal asphyxia, remains a major health burden. Neonates are classifi ed using the Sarnat score and neonates >35 weeks with moderate/ severe HIE are treated with therapeutic hypothermia (TH). TH improves survival/ decreases disability however 30-50% of mild HIE cases (not offered TH) develop cognitive impairment. Early biomarkers are vital to redefi ne HIE and better manage these infants. Cerebral monitoring is essential to establish cerebral activity, categorise encephalopathy stages, diagnose seizures, and monitor treatment. EEG and near infrared spectroscopy (NIRS) may be used concomitantly as monitoring tools (combined cerebral activity and haemodynamics) in order to study neurovascular coupling (NVC). NVC as a biomarker may increase sensitivity and specifi city for HIE outcome prediction. Limited research exists on NVC in neonates and in HIE where lower oxygen saturation may exist, physiological patterns may be altered. Easy integration of EEG and NIRS, continuous results over long periods, different clinical settings, favors studies. NVC analysis may identify neonates at risk earlier and reduce neurodevelopmental disabilities.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 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".