[BIC-announce] FW: Seminar in Biomedical Engineering - Wednesday Sept 8th - 1 pm - Theory of multimodal data fusion: Integration of multimodal functional data using electrophysiology and hemodynamic processes

[Jennifer Chew, Ms.]

 FOR YOUR INFORMATION.  Jennifer 

 

 
----- Original Message ----- 
From: Christophe Grova <mailto:christophe.grova at MCGILL.CA>  
To: 217L-SEMINAR_NOTICE at LISTS.MCGILL.CA 
Sent: Wednesday, September 01, 2010 5:57 PM
Subject: Seminar in Biomedical Engineering - Wednesday Sept 8th - 1 pm

Dear all,

Starting this term, I will be in charge of the Seminar in Biomedical Engineering Series (BMDE 500).
 
For our first seminar, I will give it myself introducing my area of research.
 
The seminar is then scheduled for next Wednesday - September 8th,  at 1 pm at 321 Lyman Duff. 

Speaker: Christophe Grova, Multimodal Functional Imaging Lab
 
Title: Theory of multimodal data fusion: Integration of multimodal functional data using electrophysiology and hemodynamic processes




The purpose of this talk is to introduce main strategies used to combine functional neuroimaging data. Functional data explore different characteristics of brain activity, such as electrophysiology measuring directly neuronal activity using Magneto- or Electro-Encephalography (MEG /EEG) or indirectly through hemodynamic processes using functional Magnetic Resonance Imaging (fMRI). By nature these exploration techniques are measuring activity of different origins covering different and complementary  ranges of  spatial and temporal resolutions, suggesting the necessary need for multimodal integration. Several techniques of data fusion will be presented such as simultaneous acquisitions, comparative fusion, constrained fusion or symmetrical fusion of functional data. EEG and MEG consisting in scalp measurements, estimation of brain activity requires the resolution of an ill-posed inverse problem. The integration of anatomical or functional prior in this context will be presented, as well as its relevance using a model comparison framework. The data fusion techniques will be illustrated in the field of the presurgical mapping of patient with epilepsy.

 

Reference: Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes. Grova C, Daunizeau J, Kobayashi E, Bagshaw AP, Lina JM, Dubeau F, Gotman J. Neuroimage. 2008 Jan 15;39(2):755-74
 
 
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Christophe Grova, PhD 
Assistant Professor
Biomedical Engineering Dpt 
Neurology and Neurosurgery Dpt 
Montreal Neurological Institute
 
Biomedical Engineering Department - Room 304
McGill University
3775 University Street, Montreal, Quebec, Canada, H3A 2B4
email : christophe.grova at mcgill.ca
tel : (514) 398 2516
fax : (514) 398 7461

 
web: 
http://www.mni.mcgill.ca/research/gotman/members/christophe.html
http://www.bmed.mcgill.ca/
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