Microelectrode array recordings from patients undergoing surgical evaluation have captured typical clinical seizures. Because of the extreme pathological conditions at these times, identifying single units from extracellular data is a particular challenge. Our group has developed techniques for tracking neurons through the ictal transition. We are applying them to newly acquired data and addressing fundamental questions about the activity of different cell classes at seizure initiation.

Faculty Advisor

  • Professor Catherine Schevon
  • Department/School: Neurology/Physicians & Surgeon/CUMC
  • Location: CUMC campus

Project timeline

  • Start date: 06/01/2018
  • End date: 08/17/2018
  • Number of hours per week of research expected: ~40

Candidate requirements

  • Skill sets: Familiarity with biomedical signal processing, basic Matlab programming
  • Student eligibility (as of Spring 2018): freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: NOT eligible
  • Other comments: As human data are involved, student will need to satisfy IRB requirements (series of online courses).