EEG tools to predict recovery after sudden brain injury

Prospective Validation of Neurophysiologic Outcome Prediction in Acute Brain Injury

['FUNDING_R01'] · BETH ISRAEL DEACONESS MEDICAL CENTER · NIH-11243554

This project will use computer-based EEG tools to help doctors predict recovery and seizure risk for people hospitalized with sudden (acute) brain injuries.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorBETH ISRAEL DEACONESS MEDICAL CENTER (nih funded)
Locations1 site (BOSTON, UNITED STATES)
Trial IDNIH-11243554 on ClinicalTrials.gov

What this research studies

If you join, the team will collect your clinical records and routine EEG recordings while you're in the hospital and follow outcomes over time. They will apply three machine-learning tools (a seizure forecast called 2HELPS2B, a Burden of Epileptiform Activity measure called BEACON, and a model predicting later epilepsy) to find EEG patterns linked to short- and long-term outcomes. This is a prospective, multicenter observational study enrolling about 3,000 patients across several hospitals, so your medical care would not be changed by participation but your data and EEGs would be analyzed. The aim is to turn these algorithms into practical tools clinicians can use at the bedside.

Who could benefit from this research

Good fit: Ideal candidates are patients hospitalized with an acute brain injury (such as stroke, traumatic brain injury, or brain hemorrhage) who are having or can undergo EEG monitoring at a participating center.

Not a fit: People without acute brain injury, those treated outside participating hospitals, or those not having EEG monitoring are unlikely to benefit directly from this project.

Why it matters

Potential benefit: If successful, these tools could help clinicians spot harmful brain activity earlier, guide treatment to prevent seizures, and improve long-term recovery after acute brain injury.

How similar studies have performed: Earlier pilot work by this team and other groups has shown promise for EEG-based prediction, but large prospective multicenter validation at this scale is still limited.

Where this research is happening

BOSTON, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Conditions: Acquired brain injury

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.