Title
iElectrodes: A Comprehensive Open-Source Toolbox for Depth and Subdural Grid Electrode Localization.
Abstract
The localization of intracranial electrodes is a fundamental step in the analysis of invasive electroencephalography (EEG) recordings in research and clinical practice. The conclusions reached from the analysis of these recordings rely on the accuracy of electrode localization in relationship to brain anatomy. However, currently available techniques for localizing electrodes from magnetic resonance (MR) and/or computerized tomography (CT) images are time consuming and/or limited to particular electrode types or shapes. Here we present iElectrodes, an open-source toolbox that provides robust and accurate semi-automatic localization of both subdural grids and depth electrodes. Using pre-and post-implantation images, the method takes 2-3 min to localize the coordinates in each electrode array and automatically number the electrodes. The proposed pre-processing pipeline allows one to work in a normalized space and to automatically obtain anatomical labels of the localized electrodes without neuroimaging experts. We validated the method with data from 22 patients implanted with a total of 1,242 electrodes. We show that localization distances were within 0.56 mm of those achieved by experienced manual evaluators. iElectrodes provided additional advantages in terms of robustness (even with severe perioperative cerebral distortions), speed (less than half the operator time compared to expert manual localization), simplicity, utility across multiple electrode types (surface and depth electrodes) and all brain regions.
Year
DOI
Venue
2017
10.3389/fninf.2017.00014
FRONTIERS IN NEUROINFORMATICS
Keywords
Field
DocType
SEEG,ECoG,intracranial EEG,MRI,CT,atlas,epilepsy
Data mining,Computer vision,Electrode array,Computer science,Robustness (computer science),Tomography,Stereoelectroencephalography,Artificial intelligence,Neuroimaging,Electroencephalography,Electrode,Grid
Journal
Volume
ISSN
Citations 
11
1662-5196
0
PageRank 
References 
Authors
0.34
18
7