Work Description

Title: Epidynamics: Navigating the map of seizure dynamics - Code & Data Open Access Deposited
Attribute Value
  • Human data were collected from seven international epilepsy centers: University of Michigan, Mayo Clinic, Hospital of the University of Pennsylvania, Children’s Hospital of Philadelphia, University of Melbourne, University of Freiburg, and Kyoto University Hospital. All patients consented to share their data according to the local institution’s review board policy. Data were de-identified EEG collected with each institution’s clinical EEG equipment. All EEG data used in this work were from either grid or depth intracranial electrodes. All sampling rates were > 200 Hz and antialiasing filters > 100 Hz, but there was variability between centers (XLTek, Nicolet, Natus, Nihon Kohden, NeuroVista). The Melbourne patients had ambulatory devices that recorded data for several months, while all the others were acquired during acute inpatient recording sessions. There were only two centers (Kyoto, Michigan) that had amplifiers that recorded low enough frequency content (high pass filter 0.016 Hz) to allow analysis of direct current (DC, i.e. very low frequency) shifts, and so only those centers were included in the analyses that involved DC coupling. Simulated data were generated to validate the visual classification scheme. Depending on the analysis in question, data was either highpass filtered, median filtered, or left raw before features were extracted.
  • This data and scripts are meant to test and show seizure differentiation based on bifurcation theory. A zip file is included which contains real and simulated seizure waveforms, Matlab scripts, and metadata. The matlab scripts allow for visual review validation and objective feature analysis. The file “README.txt” provides more detail about each individual file within the zip file.

  • Data citation: Crisp, D.N., Saggio, M.L., Scott, J., Stacey, W.C., Nakatani, M., Gliske, S.F., Lin, J. (2019). Epidynamics: Navigating the map of seizure dynamics - Code & Data [Data set]. University of Michigan Deep Blue Data Repository.
Contact information
Funding agency
  • National Institutes of Health (NIH)
ORSP grant number
  • AWD002118
Date coverage
  • 2014-01-01 to 2019-03-27
Resource type
Last modified
  • 04/16/2019
  • doi:10.7302/ejhy-5h41
CC License


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