Identifying behavioral signs to predict seizures and mortality in epilepsy
Behavioral biomarkers for prediction of mortality and seizures in epilepsy
This study is looking for new ways to predict seizures and improve treatment for people with epilepsy by using smart technology to analyze mouse behaviors, which could help us better understand the condition and how it affects individuals.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-11050529 on NIH RePORTER |
What this research studies
This research focuses on developing innovative biomarkers to predict seizures and mortality in individuals with epilepsy. By utilizing advanced artificial intelligence techniques and 3D video analysis, the study aims to analyze mouse behaviors to differentiate between epileptic and non-epileptic conditions. The goal is to create non-invasive methods that can monitor and predict seizure activity, ultimately improving treatment strategies for epilepsy. This approach could lead to significant advancements in understanding how epilepsy develops and progresses.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals of all ages with epilepsy, particularly those who experience treatment-resistant seizures.
Not a fit: Patients who do not have epilepsy or those whose seizures are well-controlled with current treatments may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better prediction and management of seizures, potentially reducing mortality rates in patients with epilepsy.
How similar studies have performed: Previous research using AI-assisted behavioral analysis has shown promise in identifying seizure patterns, suggesting that this approach could yield valuable insights.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Soltesz, Ivan — Stanford University
- Study coordinator: Soltesz, Ivan
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.