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

Groppe, David M; Bickel, Stephan; Dykstra, Andrew R; Wang, Xiuyuan; Megevand, Pierre Bastien; Mercier, Manuel R; Lado, Fred A; Mehta, Ashesh D; Honey, Christopher J

doi:10.1016/j.jneumeth.2017.01.022

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Title		iELVis: an open source MATLAB toolbox for localizing and visualizing human intracranial electrode data
Authors		Groppe, David M Bickel, Stephan Dykstra, Andrew R Wang, Xiuyuan Megevand, Pierre Bastien Mercier, Manuel R Lado, Fred A Mehta, Ashesh D Honey, Christopher J show all authors [1 - 9]
Published in		Journal of neuroscience methods. 2017, vol. 281, p. 40-48
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
Identifiers		DOI: 10.1016/j.jneumeth.2017.01.022 PMID: 28192130
Full text		Article (Published version) (3.5 MB) - Limited access to UNIGE
Structures		Faculté de médecine / Section de médecine clinique / Département des neurosciences cliniques Faculté de médecine / Section de médecine fondamentale / Département de neurosciences fondamentales
Research groups		Groupe Anne-Lise Giraud (939) Human Neuron Lab (1034)
Projects		FNS: P300P3_148388 FNS: PBGEP3_139829
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 https://archive-ouverte.unige.ch/unige:127609