RAVE: Reproducible Analysis & Visualization of iEEG
RAVE is free and open-source software for the analysis of intracranial electroencephalogram (iEEG) data, including data collected using strips and grids (electrocorticography, ECoG) and depth electrodes (stereotactic EEG). A sister package to RAVE is the YAEL electrode localization toolkit.
RAVE is easy to use and creates publication-ready figures with absolutely no programming. RAVE can import standard data formats, including Matlab and EDF, and is compatible with BIDS-iEEG. It runs on laptops, lab servers, or in the cloud. Since all user interactions take place through a web browser, the user experience is identical on Mac, Windows and Linux. Data from RAVE can be exported for analysis using other software (click here for a list of iEEG analysis tools). Conversely, outside results can be imported and visualized using RAVE’s visualization engine. RAVE provides templates to make it easy to create GUI-based analyses using the streamlined application programming interface.
Join our growing RAVE-iEEG community on Slack . E-mail slack@rave.wiki for an invitation.
RAVE has been developed since 2017 with funding provided by NIH R01MH133717 , U01NS113339, and 1R24MH117529. If you use RAVE for a publication, please cite:
Magnotti JF, Wang Z, Beauchamp MS. RAVE: comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data. NeuroImage (2020) 223:117341. [Click here for the journal full text] [Click here for the PDF] [Click here for the preprint].
If you use YAEL for electrode localization, please cite:
Wang Z, Magnotti JF, Zhang X, Beauchamp MS. YAEL: Your Advanced Electrode Localizer. Eneuro. 2023 Oct 1;10(10). [Click here for the journal full text] [Click here for the PDF].
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