@article{10ac1d5c5ab242f09bd79fbb99068ccb,
title = "A Practical Workflow for Organizing Clinical Intraoperative and Long-term iEEG Data in BIDS",
abstract = "The neuroscience community increasingly uses the Brain Imaging Data Structure (BIDS) to organize data, extending from MRI to electrophysiology data. While automated tools and workflows are developed that help organize MRI data from the scanner to BIDS, these workflows are lacking for clinical intracranial EEG (iEEG data). We present a practical workflow on how to organize full clinical iEEG epilepsy data into BIDS. We present electrophysiological datasets recorded from twelve subjects who underwent intracranial monitoring followed by resective epilepsy surgery at the University Medical Center Utrecht, the Netherlands, and became seizure-free after surgery. These data include intraoperative electrocorticography recordings from six patients, long-term electrocorticography recordings from three patients and stereo-encephalography recordings from three patients. We describe the 6 steps in the pipeline that are essential to structure the data from these clinical iEEG recordings into BIDS and the challenges during this process. These proposed workflow enable centers performing clinical iEEG recordings to structure their data to improve accessibility, reusability and interoperability of clinical data.",
keywords = "Database, ECoG, Epilepsy, Intracranial recordings, Neurosurgery, SEEG",
author = "Matteo Demuru and {van Blooijs}, Dorien and Willemiek Zweiphenning and Dora Hermes and Frans Leijten and Maeike Zijlmans",
note = "Funding Information: We would like to thank the members of the RESPect group for gathering the data in a complete and consistent matter. A special thanks to Janine Ophorst and Anouk Velders for their help with respect to gathering informed consent from the prospective patients. We thank the students and research assistants who annotated part of the data: Jaap van der Aar, Giulio Castegnaro, Daniel Groothuysen, Emile d{\textquoteright}Angremont, Merel Wassenaar, Paul Smits, Bram Knipscheer, Sifra Blok. The collaboration project is co-funded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships. WZ was supported by the Alexandre Suerman Stipendium 2015. MD was supported by the grant LSHM16054-SGF. MZ was supported by the ERC starting grant 803880 DvB was supported by NEF 17-07.DH was supported by NIH grant R01 MH122258-01. Funding Information: We would like to thank the members of the RESPect group for gathering the data in a complete and consistent matter. A special thanks to Janine Ophorst and Anouk Velders for their help with respect to gathering informed consent from the prospective patients. We thank the students and research assistants who annotated part of the data: Jaap van der Aar, Giulio Castegnaro, Daniel Groothuysen, Emile d{\textquoteright}Angremont, Merel Wassenaar, Paul Smits, Bram Knipscheer, Sifra Blok. The collaboration project is co-funded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships. WZ was supported by the Alexandre Suerman Stipendium 2015. MD was supported by the grant LSHM16054-SGF. MZ was supported by the ERC starting grant 803880 DvB was supported by NEF 17-07.DH was supported by NIH grant R01 MH122258-01. Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = jul,
doi = "10.1007/s12021-022-09567-6",
language = "English",
volume = "20",
pages = "727--736",
journal = "Neuroinformatics",
issn = "1539-2791",
publisher = "Humana Press",
number = "3",
}