Reproducible Analysis and Visualization of intracranial EEG (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. Click here to install RAVE.
Join our growing RAVE iEEG community on Slack. E-mail firstname.lastname@example.org for an invitation.
RAVE has been developed since 2017 with funding provided by NIH 1R24MH117529. If you use RAVE, 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.
Other papers published using RAVE:
- Metzger BA, Magnotti JF, Wang Z, Nesbitt E, Karas PJ, Yoshor D, Beauchamp MS. Responses to Visual Speech in Human Posterior Superior Temporal Gyrus Examined with iEEG Deconvolution. Journal of Neuroscience 2020; 40, 6938-6948; Journal website | bioRxiv preprint
- Karas PJ, Magnotti JF, Metzger BA, Zhu LL, Smith KB, Yoshor D, Beauchamp MS. The visual speech head start improves perception and reduces superior temporal cortex responses to auditory speech. eLife 2019;8:e48116 DOI: 10.7554/eLife.48116 Click here to download the PDF. Click here for the journal full text Click here for the preprint.
Send us your (p)reprint and we will add it to the list!
Thank you for visiting the RAVE wiki, accessible at rave.wiki.