Journal: Journal of neural engineering

Article Title: iEEGview: An Open-source Multifunction GUI-based Matlab Toolbox for Localization and Visualization of Human Intracranial Electrodes

doi: 10.1088/1741-2552/ab51a5

Figure Lengend Snippet: Illustration of the anatomical information identification function of the toolbox. A/B) Coronal/axial view of identified anatomical information for depth electrodes and individual brain. Depth electrode contacts are colored differently to represent different anatomical locations: red for gray matter, green for white matter, purple for hippocampus, blue for amygdala, black for unknown areas. The different colours on cortical surface indicate different cortical regions. The toolbox enables the coloring of specified cortical regions based on needs. C/D) Illustration of anatomical identification for subdural electrodes without/with presenting cortical parcellation results (colorful cortex). Anatomical location for each electrode is shown in the same color as the segmented cortical region where the electrode is located. For A-D, Desikan-Killiany atlas is used here for visualization purpose. E-L) The graph user interface (GUI) of iEEGview for the manual inspection of each electrode’s anatomical location. Bars used for adjusting image slices are not shown in this figure for visualization purpose. See Supplementary Materials (Sec. 8) for more details. E) The automatically identified anatomical name of electrodes presented in F-H. F/G/H) Sagittal/axial/coronal view of electrodes and original MRI images. Electrodes are shown in red dots for each MRI slice if there exists. The name of each electrode is presented in yellow. I) 3D view of the brain and electrodes. Red cross indicates the real-time coordinates of current image slices. J/K/L) Sagittal/axial/coronal view of electrodes and brain segmentation. Electrodes are shown in red dots for each atlas slice if there exists. Different colours in each slice represent different segmented brain regions. The name of each electrode is shown in white. White matter segmentation results are presented in the images as well. Subject information from Subject 28 are used here for illustration.

Article Snippet: To our best knowledge, iEEGview is the first public Matlab toolbox that integrates introduced prominent features together, including: 1) localizing depth and subdural electrodes (or the combination) with brain shift correction; 2) identifying the anatomical label of each electrode, providing additional visual inspection function and computing degree of confidence in assigning an anatomical label for each depth electrode contact; 3) supporting activation map generation; 4) offering methods for mapping two type of electrodes (i.e., depth and subdural) from native brain space into common brain space; 5) providing GUI based operation, from where users can run the full localization pipeline with low dependence on third-party software.

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