How advanced technologies can inform HIE prognosis: EEG, MRI, and advanced prediction modeling.

ICNC2024
Symposium: Understanding Prognosis In Neonates With Hypoxic-Ischemic Encephalopathy

How advanced technologies can inform HIE prognosis: EEG, MRI, and advanced prediction modeling.
Hannah Glass

Electroencephalogram (EEG) and magnetic resonance imaging (MRI) are standard clinical tools in high resource settings that can provide rich information about presence and degree of brain injury. But do they perform better than clinical features alone? This talk will explore results from large, multicenter studies to demonstrate how clinical, EEG, and MRI factors can be used alone and in combination to predict prognosis.

Learning objectives:
• Know the evidence for continuous video EEG and/or amplitude integrated EEG (aEEG) for predicting prognosis after HIE
• Know the evidence for conventional MRI and MR spectroscopy (MRS) for predicting prognosis after HIE
• Learn to use prediction models that incorporate clinical, EEG, and MRI factors to predict prognosis.

Dr. Glass is a Professor of Neurology and Pediatrics at University of California, San Francisco. She directs the UCSF Neonatal Neurocritical Care Program and conducts research to improve the lives of newborns with brain injury, including as Principal Investigator of the Neonatal Seizure Registry.

Other Lectures in this symposium
HIE prognosis: can we predict using early neurological examination and blood-based biomarkers?
HIE as a Cause of Cerebral Palsy in Low and High Resource Settings
Headlines, Hopes, and Hardships: Building Prognostic Awareness in Families Affected by HIE