<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Soper DJ</submitter><funding>Tiny Blue Dot Foundation</funding><funding>NIMH NIH HHS</funding><funding>Massachusetts General Hospital Executive Committee on Research</funding><funding>NINDS NIH HHS</funding><funding>National Institute of Mental Health</funding><funding>U.S. Army Research Office and Defense Advanced Research Projects Agency</funding><funding>NIH</funding><pagination>e0287921</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10328232</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>18(7)</volume><pubmed_abstract>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 visualizatio</pubmed_abstract><journal>PloS one</journal><pubmed_title>Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes.</pubmed_title><pmcid>PMC10328232</pmcid><funding_grant_id>1 R21 MH127009-01A1</funding_grant_id><funding_grant_id>1K24NS088568</funding_grant_id><funding_grant_id>R01 NS062092</funding_grant_id><funding_grant_id>R01-NS072023</funding_grant_id><funding_grant_id>W81XWH-22-1-0315</funding_grant_id><funding_grant_id>R01- NS062092</funding_grant_id><funding_grant_id>R01 NS072023</funding_grant_id><funding_grant_id>R01 NS079533</funding_grant_id><funding_grant_id>K24 NS088568</funding_grant_id><funding_grant_id>R56 NS062092</funding_grant_id><funding_grant_id>R01-NS079533</funding_grant_id><funding_grant_id>R21 MH127009</funding_grant_id><pubmed_authors>Reich D</pubmed_authors><pubmed_authors>Ross A</pubmed_authors><pubmed_authors>Soper DJ</pubmed_authors><pubmed_authors>Cash SS</pubmed_authors><pubmed_authors>Basu I</pubmed_authors><pubmed_authors>Peled N</pubmed_authors><pubmed_authors>Paulk AC</pubmed_authors><pubmed_authors>Salami P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes.</name><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 visualizatio</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-07-04T03:05:55.74Z</modification><creation>2025-04-20T03:43:47.304Z</creation></dates><accession>S-EPMC10328232</accession><cross_references><pubmed>37418486</pubmed><doi>10.1371/journal.pone.0287921</doi></cross_references></HashMap>