2018 AANS Annual Scientific Meeting-544. Long-term Seizure Dynamics Detected Using a Novel Analytic Platform in Responsive Neural Stimulation for Epilepsy

544. Long-term Seizure Dynamics Detected Using a Novel Analytic Platform in Responsive Neural Stimulation for Epilepsy

Video Transcription

Video Summary

In this video, Dr. Nathaniel Sisterson from the University of Pittsburgh School of Medicine presents a study on long-term seizure dynamics detected using a novel analytic platform for responsive neurostimulation in epilepsy. The study analyzed data collected from the RNS system, an FDA-approved neurostimulation device implanted in epilepsy patients. The researchers observed rhythmic fluctuations in events detected at a time scale of weeks to months and hypothesized that multidian rhythms in background theta power correlate with changes in seizure frequency. They developed a modular pipeline called BRAINSTIM to preprocess and analyze the data, and found bimodal distributions of periodicity at one week, two to three weeks, and four to five weeks. The study suggests that changes in theta power precede changes in seizure activity and may have predictive value for seizure risk.

Asset Caption

Nathaniel D. Sisterson

Keywords

long-term seizure dynamics

responsive neurostimulation

epilepsy

RNS system

theta power