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ER-detect: a pipeline for robust detection of early evoked responses in BIDS-iEEG electrical stimulation data.


ABSTRACT: Human brain connectivity can be measured in different ways. Intracranial EEG (iEEG) measurements during single pulse electrical stimulation provide a unique way to assess the spread of electrical information with millisecond precision. To provide a robust workflow to process these cortico-cortical evoked potential (CCEP) data and detect early evoked responses in a fully automated and reproducible fashion, we developed Early Response (ER)-detect. ER-detect is an open-source Python package and Docker application to preprocess BIDS structured iEEG data and detect early evoked CCEP responses. ER-detect can use three response detection methods, which were validated against 14-manually annotated CCEP datasets from two different sites by four independent raters. Results showed that ER-detect's automated detection performed on par with the inter-rater reliability (Cohen's Kappa of ~0.6). Moreover, ER-detect was optimized for processing large CCEP datasets, to be used in conjunction with other connectomic investigations. ER-detect provides a highly efficient standardized workflow such that iEEG-BIDS data can be processed in a consistent manner and enhance the reproducibility of CCEP based connectivity results.

SUBMITTER: van den Boom MA 

PROVIDER: S-EPMC10802406 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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ER-detect: a pipeline for robust detection of early evoked responses in BIDS-iEEG electrical stimulation data.

van den Boom Max A MA   Gregg Nicholas M NM   Valencia Gabriela Ojeda GO   Lundstrom Brian N BN   Miller Kai J KJ   van Blooijs Dorien D   Huiskamp Geertjan J M GJM   Leijten Frans S S FSS   Worrell Gregory A GA   Hermes Dora D  

bioRxiv : the preprint server for biology 20240111


Human brain connectivity can be measured in different ways. Intracranial EEG (iEEG) measurements during single pulse electrical stimulation provide a unique way to assess the spread of electrical information with millisecond precision. To provide a robust workflow to process these cortico-cortical evoked potential (CCEP) data and detect early evoked responses in a fully automated and reproducible fashion, we developed Early Response (ER)-detect. ER-detect is an open-source Python package and Doc  ...[more]

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