Predicting outcomes of epilepsy surgery using brain imaging

Predicting epilepsy surgery outcomes from individualized resting state functional anomalies

['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA, SAN DIEGO · NIH-10985416

This study is looking at how special brain scans can help doctors better predict how well epilepsy surgery will work for both kids and adults, so they can make smarter choices about treatment.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF CALIFORNIA, SAN DIEGO (nih funded)
Locations1 site (LA JOLLA, UNITED STATES)
Trial IDNIH-10985416 on ClinicalTrials.gov

What this research studies

This research investigates how individualized resting state functional MRI (fMRI) can be used to predict the outcomes of epilepsy surgery. By analyzing brain networks through advanced statistical and machine learning techniques, the study aims to improve the accuracy of surgical planning for patients with epilepsy. The research will involve both retrospective analysis of existing data and prospective collection of new data from patients, focusing on both adults and children. The goal is to identify key predictors that can guide clinical decisions regarding surgical interventions.

Who could benefit from this research

Good fit: Ideal candidates for this research include both adult and pediatric patients with focal epilepsy who are being considered for surgical treatment.

Not a fit: Patients with generalized epilepsy or those who are not candidates for surgery may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate predictions of surgical outcomes for epilepsy patients, potentially improving their quality of life.

How similar studies have performed: Previous research has shown promise in using fMRI and machine learning techniques to predict surgical outcomes in epilepsy, indicating that this approach is both relevant and potentially impactful.

Where this research is happening

LA JOLLA, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.