Predicting seizure patterns for people with focal epilepsy
Modeling seizures in patients with focal epilepsy
This project builds tools to forecast how often seizures may happen over time for people with focal epilepsy using long-term seizure records.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project ID | NIH-11169981 on NIH RePORTER |
What this research studies
If you have focal seizures, this work looks at daily seizure records like yours to learn typical patterns and how they change over time. The team uses data from the Human Epilepsy Project, which tracked hundreds of people with focal epilepsy, and applies advanced statistical models that can find subgroups with different seizure trajectories. They also model 'clumping'—times when one seizure makes another more likely—to better predict near-term risk. The goal is to combine these patterns into dynamic, personalized forecasts that update as new seizure information becomes available.
Who could benefit from this research
Good fit: Ideal candidates are people with focal epilepsy who keep regular seizure records or are willing to share longitudinal seizure data.
Not a fit: People with generalized seizure types (for example, primary absence epilepsy) or those without ongoing seizure records are less likely to benefit directly from this work.
Why it matters
Potential benefit: If successful, these tools could give people clearer, personalized forecasts of seizure risk to support treatment decisions and daily planning.
How similar studies have performed: Dynamic prediction models have helped other medical conditions and Hawkes-type models have described seizure clustering, but combining subgroup trajectories with clumping in focal epilepsy is a newer approach.
Where this research is happening
Aurora, UNITED STATES
- University of Colorado Denver — Aurora, United States (Active)
Researchers
- Principal investigator: Juarez-Colunga, Elizabeth — University of Colorado Denver
- Study coordinator: Juarez-Colunga, Elizabeth
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 below.