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Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes

Implantation of electrodes in the brain has been used as a clinical tool for decades to stimulate and record brain activity. As this method increasingly becomes the standard of care for several disorders and diseases, there is a growing need to quickly and accurately localize the electrodes once the...

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Autores principales: Soper, Daniel J., Reich, Dustine, Ross, Alex, Salami, Pariya, Cash, Sydney S., Basu, Ishita, Peled, Noam, Paulk, Angelique C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328232/
https://www.ncbi.nlm.nih.gov/pubmed/37418486
http://dx.doi.org/10.1371/journal.pone.0287921
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author Soper, Daniel J.
Reich, Dustine
Ross, Alex
Salami, Pariya
Cash, Sydney S.
Basu, Ishita
Peled, Noam
Paulk, Angelique C.
author_facet Soper, Daniel J.
Reich, Dustine
Ross, Alex
Salami, Pariya
Cash, Sydney S.
Basu, Ishita
Peled, Noam
Paulk, Angelique C.
author_sort Soper, Daniel J.
collection PubMed
description Implantation of electrodes in the brain has been used as a clinical tool for decades to stimulate and record brain activity. As this method increasingly becomes the standard of care for several disorders and diseases, there is a growing need to quickly and accurately localize the electrodes once they are placed within the brain. We share here a protocol pipeline for localizing electrodes implanted in the brain, which we have applied to more than 260 patients, that is accessible to multiple skill levels and modular in execution. This pipeline uses multiple software packages to prioritize flexibility by permitting multiple different parallel outputs while minimizing the number of steps for each output. These outputs include co-registered imaging, electrode coordinates, 2D and 3D visualizations of the implants, automatic surface and volumetric localizations of the brain regions per electrode, and anonymization and data sharing tools. We demonstrate here some of the pipeline’s visualizations and automatic localization algorithms which we have applied to determine appropriate stimulation targets, to conduct seizure dynamics analysis, and to localize neural activity from cognitive tasks in previous studies. Further, the output facilitates the extraction of information such as the probability of grey matter intersection or the nearest anatomic structure per electrode contact across all data sets that go through the pipeline. We expect that this pipeline will be a useful framework for researchers and clinicians alike to localize implanted electrodes in the human brain.
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spelling pubmed-103282322023-07-08 Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes Soper, Daniel J. Reich, Dustine Ross, Alex Salami, Pariya Cash, Sydney S. Basu, Ishita Peled, Noam Paulk, Angelique C. PLoS One Lab Protocol Implantation of electrodes in the brain has been used as a clinical tool for decades to stimulate and record brain activity. As this method increasingly becomes the standard of care for several disorders and diseases, there is a growing need to quickly and accurately localize the electrodes once they are placed within the brain. We share here a protocol pipeline for localizing electrodes implanted in the brain, which we have applied to more than 260 patients, that is accessible to multiple skill levels and modular in execution. This pipeline uses multiple software packages to prioritize flexibility by permitting multiple different parallel outputs while minimizing the number of steps for each output. These outputs include co-registered imaging, electrode coordinates, 2D and 3D visualizations of the implants, automatic surface and volumetric localizations of the brain regions per electrode, and anonymization and data sharing tools. We demonstrate here some of the pipeline’s visualizations and automatic localization algorithms which we have applied to determine appropriate stimulation targets, to conduct seizure dynamics analysis, and to localize neural activity from cognitive tasks in previous studies. Further, the output facilitates the extraction of information such as the probability of grey matter intersection or the nearest anatomic structure per electrode contact across all data sets that go through the pipeline. We expect that this pipeline will be a useful framework for researchers and clinicians alike to localize implanted electrodes in the human brain. Public Library of Science 2023-07-07 /pmc/articles/PMC10328232/ /pubmed/37418486 http://dx.doi.org/10.1371/journal.pone.0287921 Text en © 2023 Soper et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Lab Protocol
Soper, Daniel J.
Reich, Dustine
Ross, Alex
Salami, Pariya
Cash, Sydney S.
Basu, Ishita
Peled, Noam
Paulk, Angelique C.
Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes
title Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes
title_full Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes
title_fullStr Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes
title_full_unstemmed Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes
title_short Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes
title_sort modular pipeline for reconstruction and localization of implanted intracranial ecog and seeg electrodes
topic Lab Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328232/
https://www.ncbi.nlm.nih.gov/pubmed/37418486
http://dx.doi.org/10.1371/journal.pone.0287921
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