Using brain wave patterns to improve epilepsy diagnosis and treatment
Official title: EEG Biomarkers Derived from Dynamical Network Models Enable Rapid Paths to Accurate Diagnosis and Effective Treatment of Epilepsy
Funded at Johns Hopkins University · NIH-11113955 · Data updated 2026-11-12
This study is looking at brain wave patterns to find better ways to diagnose and treat epilepsy, helping patients get the right care faster and more accurately.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | May 16, 2023 |
| Project end | April 30, 2031 |
| Funding year | 2025 |
| Award (this year) | $699,597 |
| NIH project number | 5R35NS132228-03 |
| Project ID | NIH-11113955 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with epilepsy who are experiencing challenges with current treatment options.
✕Less likely to help
Patients who do not have epilepsy or those whose seizures are well-controlled with existing treatments may not benefit from this research.
What this research studies
This research focuses on developing new EEG biomarkers and computational tools to enhance the diagnosis and treatment of epilepsy. By analyzing brain wave patterns, the study aims to identify how epileptic networks behave and change during treatment. This could lead to quicker and more accurate diagnoses, allowing patients to receive effective treatments sooner. The approach combines advanced technology with clinical insights to address the challenges faced by those living with epilepsy.
Why it matters
Potential benefit: If successful, this research could significantly reduce the time it takes for patients to receive an accurate diagnosis and effective treatment for epilepsy.
How similar studies have gone: Previous research has shown promise in using EEG biomarkers for diagnosing neurological conditions, suggesting that this approach could lead to significant advancements in epilepsy treatment.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Sarma, Sridevi V. — Johns Hopkins University
- Study coordinator: Sarma, Sridevi V.
Related research
Other NIH-funded projects on the same topics.
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Scaling Up Task-Shifted Epilepsy Care for Children in Africa
A study to help children with epilepsy in Africa get diagnosed and receive seizure care through trained community health workers.
-
Closed-loop control of interneuron timing to influence seizures and memory in epilepsy
A study tests a brain-quieting system that uses light to precisely time certain brain cells in epilepsy-prone mice to see if this can lessen seizures and improve memory.
-
Epilepsy Data Ecosystem: A Big-Data Sharing Platform for Better Care
A national effort to collect and share large, multi‑modal brain data from people with medication‑resistant epilepsy to speed discoveries and improve treatment options.
-
Exploring epilepsy genes in zebrafish to understand human brain seizures
A study in zebrafish will model human epilepsy genes to help explain how certain brain mutations contribute to seizures.
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New MRI tools to better plan pediatric epilepsy surgery
A new MRI-based approach helps doctors decide the best time to surgically remove brain tissue in children with difficult-to-control seizures.
-
Sahel Epilepsy Study: finding patterns in epilepsy in rural Africa and its links to genes
A plan to study epilepsy in rural Nigeria to discover how common it is, what factors affect risk, and how genetics may influence it, with results that could improve care for people with epilepsy.
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.