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Seizure Prediction In Epilepsy Patients, Gary Dean Cravens Feb 2022

Seizure Prediction In Epilepsy Patients, Gary Dean Cravens

NSU REACH and IPE Day

Purpose/Objective: Characterize rigorously the preictal period in epilepsy patients to improve the development of seizure prediction techniques. Background/Rationale: 30% of epilepsy patients are not well-controlled on medications and would benefit immensely from reliable seizure prediction. Methods/Methodology: Computational model consisting of in-silico Hodgkin-Huxley neurons arranged in a small-world topology using the Watts-Strogatz algorithm is used to generate synthetic electrocorticographic (ECoG) signals. ECoG data from 18 epilepsy patients is used to validate the model. Unsupervised machine learning is used with both patient and synthetic data to identify potential electrophysiologic biomarkers of the preictal period. Results/Findings: The model has shown states corresponding to …


The Scripps Research Institute Summer Undergraduate Research Fellowship, Ezana Assefa Oct 2016

The Scripps Research Institute Summer Undergraduate Research Fellowship, Ezana Assefa

Trick to the Treat of Internships and Research

This program is a 10-week internship designed for undergraduates interested in the scientific field to engage in current research. Students have the option of requesting to work under three mentors, one of which they will be paired. Students will work in the lab with the principal investigator and other members of the lab. Along with working in the lab, students in the program will also attend bi-weekly talks/lectures from researchers, grad students, and professionals at TSRI as well as participating in two presentations and a final poster or oral presentation.