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 au

SUBMITTER: van den Boom MA 

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

REPOSITORIES: biostudies-literature