Work Description

Title: Supporting data and scripts for the paper "Variability in the location of High Frequency Oscillations during prolonged intracranial EEG recordings" Open Access Deposited

http://creativecommons.org/licenses/by-nc/4.0/
Attribute Value
Methodology
  • Intracranial EEG data was acquired at two centers at either 4096 Hz or at a higher sampling rate and downsampled to 5000 Hz. Data was processed with the qHFO algorithm, and the channel number and detection times are reported herein. Sleep scoring was also performed on some patients using extracranial surface EEG data. HFO detections are only included that occured either during NREM sleep or during 1-3 AM.
Description
  • This data is part of a large program to translate detection and interpretation of HFOs into clinical use. A zip file is included which contains hfo detections, metadata, and Matlab scripts. The matlab scripts analyze this input data and produce figures as in the referenced paper (note: the blind source separation method is stochastic, and so the figures may not be exactly the same). A file "README.txt" provides more detail about each individual file within the zip file.
Creator
Depositor
  • sgliske@umich.edu
Contact information
Discipline
Funding agency
  • National Institutes of Health (NIH)
Other Funding agency
  • National Institutes of Health (NIH)
Keyword
Date coverage
  • 2013-01-01 to 2018-04-30
Citations to related material
  • Stephen V. Gliske, Zachary T. Irwin, Cynthia Chestek, Garnett L. Hegeman, Benjamin Brinkmann, Oren Sagher, Hugh J. L. Garton, Greg A. Worrell, William C. Stacey. "Variability in the location of High Frequency Oscillations during prolonged intracranial EEG recordings." Nature Communications. https://doi.org/10.1038/s41467-018-04549-2
Resource type
Last modified
  • 08/17/2018
Language
DOI
License
To Cite this Work:
Gliske, S., Stacey, W. Supporting data and scripts for the paper "Variability in the location of High Frequency Oscillations during prolonged intracranial EEG recordings" [Data set]. University of Michigan - Deep Blue.

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