[BIC-announce] BIC Open Method Meetup of June 2nd at 13h: Release of MEM Brainstorm Plug-In for EEG/MEG source localization followed by hands on session

Christophe Grova christophe.grova at mcgill.ca
Mon May 26 01:50:39 EDT 2014


Dear all, 

Are you looking for the BEst source localization technique for EEG/MEG ?
Are you interested in estimating the spatial extent of EEG/MEG sources along
the cortical surface  ?
Are you interested in localizing oscillatory patterns in some specific
frequency bands ?
Are you interested in localizing synchronous cortical sources ?

It is our pleasure to announce that during the next BIC Open Method Meetup,
scheduled on June 2nd, we will release BEst ­ Brain Entropy in space and
time -  a Brainstorm plug in
offering new source localization approaches for EEG and MEG data, based on
the framework of the Maximum Entropy on the Mean (MEM)
Note that the OMM will be followed by Hands on session (14h-15h) during
which we will train you to run MEM by yourselves on your own laptop.

Monday, June the 2nd, 1:00 pm.
  de Grandpré Communications Centre
<http://neuromedia.mcgill.ca/mnibooking/facdirections/dgccdir.htm>
  Montreal Neurological Institute, 3801 University Street, Montreal, H3A 2B4
OMM: MEM Brainstorm Plug-In for EEG/MEG Source Localization -- Dr. Jean Marc
Lina and Dr. Christophe Grova


This toolbox has been developed thanks to joint effort of two research
teams: 
* LATIS Lab directed by Dr Jean Marc Lina, Prof in Electrical Engineering
Dpt at Ecole de Technology Supérieure, Montréal - main students involved:
Younes Zerouali and Karine Lacourse
* Multimodal functional Imaging Lab
(http://www.bic.mni.mcgill.ca/ResearchLabsMFIL/HomePage) directed by Dr
Christophe Grova, Prof in Biomedical Engineering Dpt and Neurology and
Neurosurgery Dpt, McGill University  - main students involved: Rasheda
Chowdhury and Tanguy Hedrich
This toolbox features three source localization methods derived from the MEM
framework, that can be applied to either EEG, MEG or fused EEG/MEG data.
Each of these methods is associated with an article describing its
implementation and validation:
* cMEM: standard MEM with stable clustering source localization in the
time-domain sensitive to the spatial extent of distributed source.
Estimating the spatial extent of the source is notably crucial when
localizing epileptic discharges: MEG source localization of spatially
extended generators of epileptic activity: comparing entropic and
hierarchical bayesian approaches.
<http://www.ncbi.nlm.nih.gov/pubmed/23418485> Chowdhury RA, Lina JM,
Kobayashi E, Grova C. PLoS One. 2013;8(2):e55969.
* wMEM: wavelet based MEM dedicated to perform source localization of
oscillatory patterns in the time-frequency domain: Wavelet-based
localization of oscillatory sources from magnetoencephalography data.
<http://www.ncbi.nlm.nih.gov/pubmed/22410322>  Lina J, Chowdhury R, Lemay E,
Kobayashi E, Grova C. IEEE Trans Biomed Eng. 2012 Mar 6.
* rMEM: ridge MEM dedicated to localize cortical sources exhibiting
synchrony: Localization of synchronous cortical neural sources.
<http://www.ncbi.nlm.nih.gov/pubmed/22127987>  Zerouali Y, Herry CL, Jemel
B, Lina JM. IEEE Trans Biomed Eng. 2013 Mar;60(3):770-80.
 The OMM scheduled from 13h to 14h will consist in an overall presentation
of this Brainstorm toolbox during which we will describe these three
methods, their characteristics, their validation and few applications. The
meeting will be followed by Hands On session from 14h- 15h during which we
will invite you to run MEM approaches by yourselves on your laptop. If you
are interested in attending this hands on session please send ASAP an email
to christophe.grova at mcgill.ca or Jean-Marc.Lina at etsmtl.ca
Technical details regarding the organization of this Hands on session will
be communicated later this week (installation procedure, test data to be
uploaded)

We really hope to see many of you there

Christophe Grova 
Jean-Marc Lina 

***************************
Christophe Grova, PhD
Assistant Professor
Biomedical Engineering Dpt
Neurology and Neurosurgery Dpt
 
Multimodal Functional Imaging Lab (Multi FunkIm)
Montreal Neurological Institute
Centre de Recherches en Mathématiques
 
Biomedical Engineering Department - Room 304
McGill University
3775 University Street, Montreal, Quebec, Canada,
H3A 2B4 
email : christophe.grova at mcgill.ca <mailto:christophe.grova at mcgill.ca>
tel : (514) 398 2516
fax : (514) 398 7461
 
Web:
http://www.bic.mni.mcgill.ca/ResearchLabsMFIL/PeopleChristophe
http://www.bmed.mcgill.ca/
MultiFunkIm Lab:
http://www.bic.mni.mcgill.ca/ResearchLabsMFIL/HomePage
 
***************************







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