Semi-automated Anatomical Labeling and Inter-subject Warping of High-Density Intracranial Recording Electrodes in Electrocorticography.
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ABSTRACT:
SUBMITTER: Hamilton LS
PROVIDER: S-EPMC5671481 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Publications
Semi-automated Anatomical Labeling and Inter-subject Warping of High-Density Intracranial Recording Electrodes in Electrocorticography.
Hamilton Liberty S LS Chang David L DL Lee Morgan B MB Chang Edward F EF
Frontiers in neuroinformatics 20171031
In this article, we introduce img_pipe, our open source python package for preprocessing of imaging data for use in intracranial electrocorticography (ECoG) and intracranial stereo-EEG analyses. The process of electrode localization, labeling, and warping for use in ECoG currently varies widely across laboratories, and it is usually performed with custom, lab-specific code. This python package aims to provide a standardized interface for these procedures, as well as code to plot and display resu ...[more]
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