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MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Dec 2019Publisher:Zenodo
Authors: Appelhoff, Stefan; Sanderson, Matthew; Brooks, Teon L.; van Vliet, Marijn; Quentin, Romain; Holdgraf, Chris; Chaumon, Maximilien; +51 Authors

doi: 10.5281/zenodo.3580272 , 10.5281/zenodo.6359371 , 10.5281/zenodo.7234911 , 10.5281/zenodo.3739558 , 10.5281/zenodo.5720702 , 10.5281/zenodo.4328374 , 10.5281/zenodo.7162190 , 10.5281/zenodo.4117895 , 10.5281/zenodo.17094965 , 10.5281/zenodo.7454942 , 10.5281/zenodo.3580273 , 10.5281/zenodo.14173773 , 10.5281/zenodo.4626781 , 10.5281/zenodo.5105671 , 10.5281/zenodo.11471689 , 10.5281/zenodo.17094559

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis

Abstract

MNE-BIDS is a Python library to facilitate the analysis of MEG, EEG, and iEEG data with MNE-Python for data conforming to the BIDS (Brain Imaging Data Structure) format. More information about BIDS and MNE-Python can be found at bids.neuroimaging.io and mne.tools, respectively.

Please cite this software using the metadata from 'preferred-citation' in the CITATION.cff file.

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Keywords

brain imaging data structure, neuroscience, python, magnetoencephalography, neuroimaging, meg, ieeg, eeg, BIDS, mne, electroencephalography

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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