[Eeglabnews] NIH support for EEGLAB renewed

[Arnaud Delorme]

We received word yesterday that the EEGLAB grant (running since 2004) has been renewed by the US National Institutes of Health (NIH). We wish to thank all the researchers who wrote support letters for our proposals -- we believe they were important. Thanks as well to NINDS program manager James Gnadt, for charting our course through the necessary resubmission process last fall. 

Continued EEGLAB development going forward will include:

- Increased support including for multimodal analysis of concurrent EEG/MEG, EEG/fMRI, EEG/iEEG, EEG/TMS, and EEG/neurofeedback
- Increased support for analysis of multimodal Mobile Brain/Body Imaging (MoBI) data -  concurrent EEG and motion capture, eye tracking, peripheral measures, etc…
- Increased support for advanced source localization methods including beamforming and SCALE head modeling
- Continued integration of EEGLAB and statistical general linear modeling (LIMO) 
- Better statistical analysis of effective source connectivity measures made available in SIFT
- Tools for phase-amplitude and amplitude-amplitude connectivity measurement
- New ICA hierarchic clustering tools based on bayesian methods
- Continued development and validation of automated artifact rejection methods including ICLabel   (ICLabel.ucsd.edu)
- Increased support for the emerging BIDS EEG and MEG data archiving format with dedicated data export and retrieval capabilities as well as an associated data repository
- Increased support of advanced data annotation using the HED framework to support EEG meta-analysis and big-data style EEG data mining
- Easy export of EEG data and events to the Matlab and other deep learning solutions to support biomarker identification and validation
- Increased automation of the EEGLAB new testing and release process for increased robustness of EEGLAB tools
- Web-based publication and distribution of a new quarterly EEGLAB newsletter (more on this soon)!

We invite all to join us by contributing plug-ins, suggestions, new code and pull request on Github https://github.com/eeglabdevelopers/eeglab, and bug reports on Bugzilla https://sccn.ucsd.edu/bugzilla/!

NOTE: Two EEGLAB workshops are coming up and are now open for registration:

A two-day workshop in Pittsburgh in September:  https://sccn.ucsd.edu/wiki/EEGLAB_2018_Pittsburgh
A four-day workshop at UCSD in November:        https://sites.google.com/ucsd.edu/eeglab-2018/home

NOTE ALSO: The Open EEGLAB Portal to the NSF Supercomputer resource at UCSD is now available for early-adopter exploration:  for details see https://sccn.ucsd.edu/wiki/EEGLAB_on_NSG. We welcome any and all feedback about this resource, which will gradually make available high-performance computing (HPC) pipelines for the most intensive analysis steps (AMICA, RELICA, head modeling, distributed source localization, time/frequency analysis, etc.).

Arnaud Delorme & Scott Makeig
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