Predicting and controlling seizures by tracking brain activity
Tracking pre-seizure dynamics to predict and control seizures
This study is looking at how brain activity changes before a seizure happens, using mice and rats, to find patterns that could help predict seizures and improve the lives of people with epilepsy.
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-10839437 on NIH RePORTER |
What this research studies
This research investigates how brain activity changes before epileptic seizures occur, using animal models like mice and rats. By monitoring specific neural signals and calcium levels in the brain, researchers aim to identify patterns that precede seizures. The study employs advanced techniques such as high-density silicon probes and multiphoton microscopy to gather detailed data on brain activity. This information will be analyzed using machine learning to develop algorithms that can predict seizures, potentially improving the lives of those affected by epilepsy.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with epilepsy, particularly those experiencing generalized absence seizures.
Not a fit: Patients with seizure disorders that do not involve generalized absence seizures may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better seizure prediction and management, enhancing the quality of life for patients with epilepsy.
How similar studies have performed: Other research has shown promise in using predictive algorithms for seizure forecasting, making this approach both innovative and grounded in prior successes.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Huguenard, John R — Stanford University
- Study coordinator: Huguenard, John R
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.