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<p class=MsoPlainText><span lang=EN-CA>*********************************************************************************************<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>CALL FOR ABSTRACT- DEADLINE IS
APPROACHING: JULY 15th - REGISTRATION IS OPEN Inverse problems in brain imaging
and multimodal data fusion Montreal, CANADA, August 24-29, 2009<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Organizers: Christophe Grova(McGill),
Sylvain Baillet (Med. </span>College of Wisconsin), Jean-Marc Lina (Ecole de
Technologie Superieure, CRM) ( <a
href="http://www.crm.umontreal.ca/Inverse09/index_e.php">http://www.crm.umontreal.ca/Inverse09/index_e.php</a>)<o:p></o:p></p>
<p class=MsoPlainText><span lang=EN-CA>*********************************************************************************************<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Sylvain Baillet, Jean-Marc Lina and
myself are organizing a workshop entitled "Inverse problems in brain
imagery and multimodal data fusion". This workshop supported by the
"Centre de Recherche en Mathématiques" de l'Université de Montréal (</span><a
href="http://www.crm.umontreal.ca/"><span lang=EN-CA>http://www.crm.umontreal.ca/</span></a><span
lang=EN-CA>) will last 5 days in Montreal from the 24th to the 29th of August
2009 The diversity of non invasive imaging devices (MRI, EEG, MEG, Near
Infrared<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Spectroscopyl) allows one to explore the
brain dynamics provided there exists a mathematical framework that encompass
this multimodality and the complexity of the inherent sources of the cerebral
signals. Despite a general agreement about the source modelling, many
mathematical strategies have been elaborated in order to solve the inevitable
ill-posed inverse problem. What are the common features between those
approaches? What are the mathematical frameworks the most appropriate for
handling simultaneous measurements from different modalities? What are the best
approaches for estimating both spatial and temporal brain activities?<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>The workshop will consist in full
3-hours invited lectures followed by more specific presentations and one poster
session.<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Participants interested in presenting a
contributed talk or a poster are invited to submit an abstract before the 15th
of July 2009.<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Participants interested in attending,
the registration is now open, places are limited<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Check our website for more information:<o:p></o:p></span></p>
<p class=MsoPlainText><a
href="http://www.crm.umontreal.ca/Inverse09/index_e.php"><span lang=EN-CA>http://www.crm.umontreal.ca/Inverse09/index_e.php</span></a><span
lang=EN-CA><o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Preliminary program below <o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA> <o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>We hope to see you in Montreal<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Grova Christophe, Baillet Sylvain, and
Lina Jean-Marc<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>-----------------------------<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Monday August 24th: Inverse problem (1)<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Matti Hamalainen - Martinos Cent. for
Biomed. Imag. Boston USA MEG and EEG side by side in terms of neural sources
sources, measurement techniques, forward modeling, and source modeling.<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Srikantan Nagarajan - Univ. Calif. at
San Francisco USA Machine learning advances in electromagnetic imaging.<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Probabilistic algorithms developed for
analyses of MEG and EEG data<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>-------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Tuesday August 25th: Inverse problem (2)<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Jan de Munck - VU Medical Center
Amsterdam, Netherlands Computational aspects of forward and inverse modelling
of MEG and EEG<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Nelson Trujillo Barreto - Cuban Centre
for Neurosciences - LaHavana, Cuba Probabilistic and biophysical models for the
analysis and integration of functional neuroimages<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Round table / discussion:<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>How deep one can see with MEG vs EEG?<o:p></o:p></span></p>
<p class=MsoPlainText>Moderators: M. Hamalainen, J. de Munck<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText><span lang=EN-CA>-------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Wednesday August 26th: Dipole scanning
approaches<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- J Mosher - Cleveland Clinic USA<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>A Beamformer Perspective of MEG and EEG
Source Analyses.<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>(non-cerebral noise rejection in
MEG/EEG, non linear source localization)<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Doug Cheyne: Toronto Sick Kids
Hospital, Canada Most recent developments in beamforming techniques<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Hermann Stefan - MEG Center, Erlangen,
Germany Clinical application of multimodal data (EEG/MEG/MRI//PET/SPECT) in
epilepsy<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Round table / discussion : model
comparison and model selection for EEG/MEG inverse problem<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Moderators: N. Trujillo-Barreto, J.
Daunizeau<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>-------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Thursday August 27th: Multimodal data
fusion<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Christophe Grova - McGill University,
Biomedical Engineering Dpt, Canada Insights from electrophysiology (MEG/EEG)
and hemodynamic processes<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>(fMRI/NIRS) using multimodal imaging to
characterize the epilptogenic network<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Jean Daunizeau - Functional Imaging
Lab., London, UK Stochastic dynamic causal models in EEG/MEG<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Jorge Riera - Tohoku University, Japan
Modeling the genesis of the primary current density from a mesoscopic
viewpoint: the relationship with EEG and MEG data<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Sylvain Baillet- The Medical College
of Wisconsin, USA Optical flow techniques adapted to the analysis of
time-resolved brain imaging data<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Round table / discussion : source
localization and induced activity<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Moderators: J.M Lina<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>-------------------------------------------------------------------------------------------------------<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Friday August 28th: Clinical and
Neuroscience applications<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Jean-Marc Lina - Ecole de Technologie
Superieure, Montreal, Canada Entropic approaches dedicated to the EEG/MEG
inverse problem<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Eliane Kobayashi - McGill, Montreal
Neurological Institute, Canada Clinical relevance of EEG/MEG and EEG/fMRI in
epilepsy<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA> - Stephan Grimault MEG center -
Université de Montréal, Canada Memory retention and source localization of
induced activity in MEG<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>- Round table / discussion : clinical
and neuroscience application of the inverse problem,expectations of the users<o:p></o:p></span></p>
<p class=MsoPlainText>Moderators: P. Jolicoeur (UdM), J. Gotman (McGill)<o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText><span lang=EN-CA>-------------------------------------------------------------------------------<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA> <o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA> <o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>***************************<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Christophe Grova, PhD<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Assistant Professor<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Biomedical Engineering Dpt<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Neurology and Neurosurgery Dpt<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Montreal Neurological Institute<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA> <o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>Biomedical Engineering Department - Room
304 McGill University<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>3775 University Street, Montreal,
Quebec, Canada, H3A 2B4 email : </span><a
href="mailto:christophe.grova@mcgill.ca"><span lang=EN-CA>christophe.grova@mcgill.ca</span></a><span
lang=EN-CA> tel : (514) 398 2516 fax : (514) 398 7461<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA> <o:p></o:p></span></p>
<p class=MsoPlainText>Research Assistant : MEG Center, CERNEC<o:p></o:p></p>
<p class=MsoPlainText>Université de Montréal<o:p></o:p></p>
<p class=MsoPlainText><span lang=EN-CA>tel : (514)-343-6111 ext 18878.<o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA> <o:p></o:p></span></p>
<p class=MsoPlainText><span lang=EN-CA>web: <o:p></o:p></span></p>
<p class=MsoPlainText><a
href="http://www.mni.mcgill.ca/research/gotman/members/christophe.html"><span
lang=EN-CA>http://www.mni.mcgill.ca/research/gotman/members/christophe.html</span></a><span
lang=EN-CA><o:p></o:p></span></p>
<p class=MsoPlainText><a href="http://www.bmed.mcgill.ca/"><span lang=EN-CA>http://www.bmed.mcgill.ca/</span></a><span
lang=EN-CA><o:p></o:p></span></p>
<p class=MsoPlainText>*************************** <o:p></o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
<p class=MsoPlainText><o:p> </o:p></p>
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