NIH Reporter #5K23NS119794-05

Physiology-driven seizure management post-cardiac arrest

A career development award to Dr. Edilberto Amorim at University of California, San Francisco, focusing on using deep learning and biomedical technology to improve seizure management and neurological recovery after cardiac arrest. The project uses EEG and neuroimaging data to develop predictive biomarkers and guide treatment strategies.

Description

This project aims to develop early non-invasive biomarkers for neurological recovery and seizure control, guiding clinical trial design and therapeutic strategies to improve patient outcomes. It involves using biomedical technology innovations in brain monitoring to personalize treatment for patients with hypoxic-ischemic brain injury post-cardiac arrest. The research will leverage a large EEG and neuroimaging dataset and aims to identify EEG phenotypes predictive of recovery, establish EEG biomarkers of seizure response, and estimate the causal effect of rapid seizure treatment in preventing brain injury.

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