Understanding and predicting post-traumatic epilepsy after brain injuries
Official title: A Biofidelic Model of PTE (Project 1)
Funded at Massachusetts General Hospital · NIH-11088161 · Data updated 2026-11-12
This study is looking at how to better understand and predict post-traumatic epilepsy in people who have had brain injuries, with the hope of finding new ways to prevent or treat this condition.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | August 1, 2023 |
| Project end | April 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $259,338 |
| NIH project number | 5P01NS127769-03 |
| Project ID | NIH-11088161 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who have experienced a traumatic brain injury and are at risk of developing post-traumatic epilepsy.
✕Less likely to help
Patients who have not experienced a traumatic brain injury or those with pre-existing epilepsy may not benefit from this research.
What this research studies
This research focuses on post-traumatic epilepsy (PTE), which affects a significant number of individuals who have suffered traumatic brain injuries (TBI). The team aims to develop a biofidelic model that accurately represents the human brain to better understand the mechanisms leading to PTE. By identifying specific biomarkers and utilizing advanced machine learning algorithms, the research seeks to predict the onset of PTE and explore potential therapeutic targets to prevent its progression. Patients may benefit from insights that could lead to new treatments and preventive strategies for PTE.
Why it matters
Potential benefit: If successful, this research could lead to new therapies that prevent the development of post-traumatic epilepsy in patients with traumatic brain injuries.
How similar studies have gone: Other research has shown promise in using biofidelic models and machine learning approaches to identify biomarkers and predict neurological conditions, indicating potential for success in this area.
Where this research is happening
-
Massachusetts General Hospital
Boston, United States Active
Researchers
- Principal investigator: Costine-Bartell, Beth a — Massachusetts General Hospital
- Study coordinator: Costine-Bartell, Beth a
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.