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