Abstract
Purpose
Existing methods for sorting, labeling, registering, and across-subject localization of electrodes in intracranial encephalography (iEEG) may involve laborious work requiring manual inspection of radiological images.
Methods
We describe a new open-source software package, the interactive electrode localization utility which presents a full pipeline for the registration, localization, and labeling of iEEG electrodes from CT and MR images. In addition, we describe a method to automatically sort and label electrodes from subdural grids of known geometry.
Results
We validated our software against manual inspection methods in twelve subjects undergoing iEEG for medically intractable epilepsy. Our algorithm for sorting and labeling performed correct identification on 96% of the electrodes.
Conclusions
The sorting and labeling methods we describe offer nearly perfect performance and the software package we have distributed may simplify the process of registering, sorting, labeling, and localizing subdural iEEG grid electrodes by manual inspection.
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Acknowledgements
We thank Giovanni Piantoni for his assistance with hardware and technical support. We thank Kristen K. Ellard, Samuel Zorowitz, Tatiana Sitnikova, Afsana Afzal, Anna L. Gilmour, Amanda R. Arulpragasam, and Thilo Deckersbach for their assistance with data collection. This work was made possible by grants NCRR S10RR014978, NIH S10RR031599, R01-NS069696, 5RO1-NS060918, U01MH093765, 1S10RR023043, 1S10RR023401, P41-EB015896. This work was sponsored by the U.S. Army Research Office and Defense Advanced Research Projects Agency under Cooperative Agreement Number W911NF-14-2-0045. The aforementioned sponsor played no role in collection, analysis, or interpretation of data, and played no role in preparation of the manuscript.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
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LaPlante, R.A., Tang, W., Peled, N. et al. The interactive electrode localization utility: software for automatic sorting and labeling of intracranial subdural electrodes. Int J CARS 12, 1829–1837 (2017). https://doi.org/10.1007/s11548-016-1504-2
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DOI: https://doi.org/10.1007/s11548-016-1504-2