[Mne_analysis] Fwd: Fw: Fwd: From raw MEG to publication - BIOMAG16 satelliteworkshop, Oct 2, 2016

[Alexandre Gramfort]

hi,

see:

http://neuroimage.usc.edu/brainstorm/Biomag2016

and the MNE demo with results and code:

http://mne-tools.github.io/mne-biomag-group-demo/

Best,
Alex


On Sat, Nov 26, 2016 at 2:05 AM, thismoment <junpeng.zhang at gmail.com> wrote:
> Hi Experts,
>
> Good Morning!
>
> May I ask a question?
>
> Regarding the face recognition MEG/fMRI datasets,
> The mail from Bigmag 2016 says:"Detailed instructions for each toolbox will
> be made available onlineincluding analysis scripts and figures of results.
> All analyses willshow a full pipeline from the raw data to detailed
> publication qualityresults. Researchers who are interested in using the
> respectivetoolbox will then be able to reproduce the analysis in their lab
> and port it to their own data."
>
> For some reasons, I did not attend the conference.
>
> If possible, Would you like to tell me whether  the mentioned materials  is
> prepared?
> I plan to use the freely shared dataset.
>
> In addition, anyone have successfully  used the datasets?
> Would you give some suggestions on how to begin using that?
>
> There are two websites to download the datasets. The data from Which one
> will be more suitable for brainstorm analysis?
>
> Best wishes,
> Junpeng
>
>
>
>
> ---------- Forwarded message ----------
> From: ZJP gmail <junpeng.zhang at gmail.com>
> Date: Fri, Sep 16, 2016 at 1:08 AM
> Subject: Fw: [Mne_analysis] Fwd: From raw MEG to publication - BIOMAG16
> satelliteworkshop, Oct 2, 2016
> To: brainz <brainz at sina.com>
> ---Original---
> From: "Alexandre Gramfort "<alexandre.gramfort at telecom-paristech.fr>
> Date: 2016/9/15 23:06:18
> To: "mne_analysis at nmr.mgh.harvard.edu"<mne_analysis at nmr.mgh.harvard.edu>;
> Subject: [Mne_analysis] Fwd: From raw MEG to publication - BIOMAG16
> satelliteworkshop, Oct 2, 2016
>
> [message from Vladimir Litvak]
>
> Dear colleagues,
>
> Apologies in advance for cross-posting. We would like to attract your
> attention to the BIOMAG2016 satellite symposium which will take place
> on Oct 2nd 2016 and is dedicated to group analysis of MEG data with
> free academic toolboxes. Please read the full description below.
>
> With best wishes,
>
> Arnaud Delorme
> Alexandre Gramfort
> Vladimir Litvak
> Srikantan Nagarajan
> Robert Oostenveld
> Francois Tadel
>
>
>
> -------------------------------------------------------------------------------
>
>
> >From raw MEG to publication: how to perform MEG group analysis with
> free academic software.
>
>
> Organisers: Arnaud Delorme, Alexandre Gramfort, Vladimir Litvak,
> Srikantan Nagarajan, Robert Oostenveld, Francois Tadel
>
>
> Free academic toolboxes have gained increasing prominence in MEG
> analysis as a means to disseminate cutting edge methods, share best
> practices between different research groups and pool resources for
> developing essential tools for the MEG community. In the recent years
> large and vibrant research communities have emerged around several of
> these toolboxes. Teaching events are regularly held around the world
> where the basics of each toolbox are explained by its respective
> developers and experienced power users. There are, however, two
> knowledge gaps that our BIOMAG satellite symposium aims to address.
> Firstly, most teaching examples only show analysis of a single
> ‘typical best’ subject whereas most real MEG studies involve analysis
> of group data. It is then left to the researchers in the field to
> figure out for themselves how to make the transition and obtain
> significant group results. Secondly, we are not familiar with any
> examples of fully analyzing the same group dataset with different
> academic toolboxes to assess the degree of agreement in scientific
> conclusions and compare strengths and weaknesses of various analysis
> methods and their independent implementations. Our workshop is
> organised by the lead developers of six most popular free academic MEG
> toolboxes (in alphabetic order): Brainstorm, EEGLAB, FieldTrip, MNE,
> NUTMEG, and SPM. Ahead of the workshop the research team for each
> toolbox will analyze the same group MEG/EEG dataset. This dataset
> containing evoked responses to face stimuli was acquired by Richard
> Henson and Daniel Wakeman, who won a special award at BIOMAG2010 to
> make it freely available to the community. All the raw data are
> available at
>
>
> ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/
>
> and
>
> https://openfmri.org/dataset/ds000117/
>
>
> Detailed instructions for each toolbox will be made available online
> including analysis scripts and figures of results. All analyses will
> show a full pipeline from the raw data to detailed publication quality
> results. Researchers who are interested in using the respective
> toolbox will then be able to reproduce the analysis in their lab and
> port it to their own data.
>
> At the workshop each group will briefly introduce their software and
> present the key results from their analysis. This will be followed by
> a panel discussion and questions from the audience.
>
> Following the event we plan to integrate the suggestions and questions
> from the workshop audience and to publish the analyses details as part
> of a special research topic in Frontiers in Neuroscience, section
> Brain Imaging Methods so that the proposed best practices will be
> endorsed by peer review and become citable in future publications.
> Other research groups will be invited to contribute to the research
> topic as long as they present detailed descriptions of analyses of
> group data that are freely available online and make it possible for
> others to fully reproduce their analysis and results.
>
>
> We hope that this proposal will lead to creation of invaluable
> resource for the whole MEG community and the workshop will contribute
> to establishment of good practice and promoting consistent and
> reproducible analysis approaches. The event will also showcase all the
> toolboxes and will be of interest to beginners in the field with basic
> background in MEG who contemplate the most suitable analysis approach
> and software for their study as well as to experienced researchers who
> would like to get up to date with the latest methodological
> developments.
>
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