en
Scientific article
English

iELVis: an open source MATLAB toolbox for localizing and visualizing human intracranial electrode data

Published inJournal of Neuroscience Methods, vol. 281, p. 40-48
Publication date2017
Abstract

Intracranial electrical recordings (iEEG) and brain stimulation (iEBS) are invaluable human neuroscience methodologies. However, the value of such data is often unrealized as many laboratories lack tools for localizing electrodes relative to anatomy. To remedy this, we have developed a MATLAB toolbox for intracranial electrode localization and visualization, iELVis. NEW METHOD: iELVis uses existing tools (BioImage Suite, FSL, and FreeSurfer) for preimplant magnetic resonance imaging (MRI) segmentation, neuroimaging coregistration, and manual identification of electrodes in postimplant neuroimaging. Subsequently, iELVis implements methods for correcting electrode locations for postimplant brain shift with millimeter-scale accuracy and provides interactive visualization on 3D surfaces or in 2D slices with optional functional neuroimaging overlays. iELVis also localizes electrodes relative to FreeSurfer-based atlases and can combine data across subjects via the FreeSurfer average brain.

Keywords
  • Algorithms
  • Atlases as Topic
  • Brain/diagnostic imaging/physiology/surgery
  • Electrocorticography/instrumentation/methods
  • Electrodes
  • Implanted
  • Humans
  • Imaging
  • Three-Dimensional
  • Magnetic Resonance Imaging/methods
  • Motion
  • Neuroimaging/methods
  • Pattern Recognition
  • Automated/methods
  • Postoperative Period
  • Preoperative Period
  • Software
Citation (ISO format)
GROPPE, David M et al. iELVis: an open source MATLAB toolbox for localizing and visualizing human intracranial electrode data. In: Journal of Neuroscience Methods, 2017, vol. 281, p. 40–48. doi: 10.1016/j.jneumeth.2017.01.022
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Article (Published version)
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ISSN of the journal0165-0270
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Technical informations

Creation12/03/2019 3:20:00 PM
First validation12/03/2019 3:20:00 PM
Update time03/15/2023 6:32:11 PM
Status update03/15/2023 6:32:10 PM
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