New approach to find noninvasive brain networks that predict epilepsy after brain injury
Official title: New approach for identification pHFO networks to predict epileptogenesis
Funded at University of North Texas · NIH-11424751 · Data updated 2026-11-12
A study aims to identify noninvasive brain biomarkers that can forecast epileptogenesis after brain injury by linking MRI network patterns with EEG signals.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of North Texas NIH-funded |
| Lab location | 1 site (Denton, United States) |
| Project start | July 15, 2022 |
| Project end | August 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $564,635 |
| NIH project number | 2R16NS131108-05 |
| Project ID | NIH-11424751 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with acquired brain injury who are at risk of developing epilepsy could benefit from future translation of these biomarkers.
✕Less likely to help
Early-stage animal-model findings may not yet translate to immediate clinical benefits for all patients.
What this research studies
This project looks at how abnormal high-frequency brain activity may form large network patterns after brain injury and whether these patterns can be detected with noninvasive MRI. By comparing MRI network data with EEG signals in animal models that develop epilepsy, researchers hope to find biomarkers that predict seizures without invasive monitoring. The team will test whether BOLD-fMRI networks align with pHFO-derived networks and if these markers can forecast later epilepsy. If successful, the work could guide earlier interventions for people at risk after brain injury.
Why it matters
Potential benefit: If successful, this work could lead to noninvasive tests that predict epilepsy risk after brain injury, enabling earlier prevention strategies.
How similar studies have gone: Previous work showed a link between invasive EEG findings and network changes, but noninvasive biomarkers with predictive power are still being established.
Where this research is happening
-
University of North Texas
Denton, United States Active
Researchers
- Principal investigator: Li, Lin — University of North Texas
- Study coordinator: Li, Lin
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.