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Dear all,

This is a gentle reminder to ask you to please take a minute to fill in the
short survey on the MEG-BIDS initiative (https://goo.gl/Wpvp9T).
Your feedback and suggestions are very important in this open and multisite
effort. We'll leave it open until Wed next week.

The MEG-BIDS manuscript (https://doi.org/10.1101/172684) and specifications
(https://docs.google.com/document/d/1FWex_kSPWVh_f4rKgd5rxJm
xlboAPtQlmBc1gyZlRZM) are also available for further suggestions.


Looking forward to your comments and feedback.

Kind regards,


Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L. Brooks,
Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas,
Vladimir Litvak, Jeremy Moreau, Robert Oostenveld, Jan-Mathijs Schoffelen,
Francois Tadel, Joseph Wexler, Sylvain Baillet



*Julia Guiomar Niso Galán, PhD*

*Montreal Neurological Institute, McGill University*
McConnell Brain Imaging Centre
*[log in to unmask] <[log in to unmask]>*



2017-08-10 11:55 GMT+02:00 Sylvain Baillet, Dr <[log in to unmask]>:

> * for diffusion, please *
>
> Dear All:
>
> We are happy to introduce the MEG-BIDS: an extension to the Brain Imaging
> Data Structure for magnetoencephalography. MEG-BIDS is a principled
> solution to store, organize and share the typically-large data volumes
> produced with MEG. It builds on BIDS for MRI, and therefore readily yields
> a multimodal data organization by construction. This is particularly
> valuable for the anatomical and functional registration of MEG source
> imaging with MRI. With MEG-BIDS and a growing range of software adopting
> the standard (presently: Brainstorm, SPM, FieldTrip and MNE), the MEG
> community has a solution to minimize curation overheads, reduce data
> handling errors and optimize usage of computational resources for
> analytics. The standard also includes well-defined metadata, to facilitate
> future data harmonization and sharing efforts.
>
> Please take a moment to read through the short manuscript that describes
> this initiative (https://doi.org/10.1101/172684) and try ou the 4 full
> MEG-BIDS datasets available for download:
>
> 1) OMEGA Resting-State samples: Five minutes of eyes-open, resting-state
> MEG data is available for 5 subjects from The Open MEG Archive (OMEGA) .
>
> 2) Brainstorm Auditory Example dataset: Brainstorm Auditory tutorial
> dataset
>
> 3) MNESampledata: Sample data with visual and auditory stimuli
>
> 4) OpenfMRI study ds000117: A multi-subject, multi-modal human
> neuroimaging dataset of 19 subjects participating in a visual task.
>
> Your feedback and suggestions are important: please complete the short
> survey concerning this initiative, so that we can continue to improve the
> MEG-BIDS features: https://goo.gl/Wpvp9T.
>
> Please also note that MEG-BIDS is presently being extended to EEG and
> e-phys data.
>
> With best wishes,
>
> Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L.
> Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak
> Jas, Vladimir Litvak, Jeremy Moreau, Robert Oostenveld, Jan-Mathijs
> Schoffelen, Francois Tadel, Joseph Wexler, Sylvain Baillet.
>
> -
> Sylvain Baillet, PhD
> Professor, Montreal Neurological Institute
> McGill University
> mcgill.ca/bic
>
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