Predicting seizure patterns in focal epilepsy patients
Official title: Modeling seizures in patients with focal epilepsy
Funded at University of Colorado Denver · NIH-11402547 · Data updated 2026-11-12
Aims to create personalized models to forecast how often seizures will happen over time in people with focal epilepsy.
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 start | September 19, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $420,551 |
| NIH project number | 5R01NS133040-04 |
| Project ID | NIH-11402547 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with focal epilepsy who have long-term seizure data and participate in related observational studies.
✕Less likely to help
Patients without access to long-term seizure data or who do not engage with predictive modeling may see limited benefit.
What this research studies
This project uses data from people with focal epilepsy to build dynamic models that predict seizure frequency and patterns. By analyzing long-term seizure records, the team will identify subgroups with different seizure trajectories and how one seizure may influence the next. The work combines advanced statistics with clinical insights to tailor predictions for individuals, potentially guiding treatment decisions. The goal is to better anticipate seizures and understand the factors driving their occurrence in real-time.
Why it matters
Potential benefit: If successful, patients could receive more personalized seizure forecasts to inform treatment choices and daily planning.
How similar studies have gone: Prior dynamic prediction methods exist in other areas, but this project aims to add subgroups and event clustering specific to epilepsy.
Where this research is happening
-
University of Colorado Denver
Aurora, United States Active
Researchers
- Principal investigator: Juarez-Colunga, Elizabeth — University of Colorado Denver
- Study coordinator: Juarez-Colunga, Elizabeth
Related research
Other NIH-funded projects on the same topics.
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Predicting seizure patterns for people 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.
-
Understanding and predicting seizures in patients with focal epilepsy
This study is working on new ways to predict how often people with focal epilepsy might have seizures, using information from 450 patients to better understand their unique seizure patterns over time.
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Patchy (mosaic) genetic changes in focal epilepsy
This project looks for mosaic (patchy) genetic mutations in brain tissue from people with mesial temporal lobe epilepsy to better understand causes and help guide future treatment choices.
-
Behavior-based signs to predict seizures and death risk in epilepsy
Researchers are using AI-driven 3D video analysis of mouse behaviors to find subtle behavior patterns that might signal seizure risk and higher mortality for people with epilepsy.
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Investigating a new treatment for seizures using a specific inhibitor in mice
This study is looking at how a special treatment might help reduce seizures in mice with epilepsy, especially when the condition starts after injuries like strokes or head trauma, and it uses a method that could be easier and safer than current treatments.
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Investigating how to predict epilepsy in newborns with seizures
This study is looking at the best medications to help newborns who have seizures, which can sometimes lead to bigger health issues later on, and it's for families with babies who might be experiencing these seizures.
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.