[BIC-announce] Fwd: BME Seminar today at 1pm

[G. Bruce Pike, Prof.]

> Begin forwarded message:
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> Dear all,
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> Our  next Biomedical Engineering Dpt seminar is TODAY
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> Wednesday - October 12th,  at 1 pm
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> Location: Room  333 Lyman Duff Building (Biomedical Engineering Dpt).
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> Speaker: Dr.  Sylvain Baillet Ph.D., New Director of the MEG center of the Brain Imaging Center, MNI, McGill University
> The MEG of the Neuro has been installed earlier this year and will soon be available as a new "imaging" device on the BIC platform
> http://www.bic.mni.mcgill.ca/Facilities/MEG
> 
> Dr Baillet is candidate for associate membership in our department
> 
> Title:  Investigating the dynamics of the resting brain with time-resolved MEG imaging
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> Abstract:
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> There has been tremendous interest in studying the brain at rest with neuroimaging techniques over the last decade (Fox & Raichle, 2007). fMRI and PET have been the modalities of choice so far, demonstrating that spatial patterns can be extracted from the relatively slow hemodynamic and metabolic fluctuations to segregate brain regions, with remarkable robustness and reproducibility.
> So far, evidence of the electrophysiological support for resting brain networks has been rather sparse, essentially for methodological reasons. Intra-cranial recordings offer unique temporal and spatial resolution but limited spatial sampling of the whole brain (Shmuel & Leopold, 2008). EEG source imaging, which can be simultaneously coupled with fMRI, is impeded by approximations in the modeling of tissue compartments (Mantini et al., 2007). MEG offers today the best abilities to explore the complex dynamics of the resting brain, with excellent temporal resolution (<1ms) and reasonable spatial accuracy (about 1cm) (de Pasquale et al, 2010;  Brookes et al., 2011). One open issue that remains is the extraction of features and markers of structures resting activity from high-dimensional (space, time, frequency spectrum) MEG data volumes.
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> We will review recent studies from our group that address this conundrum and illustrate our approach with a series of experimental data from healthy and neurological cases.
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> References:
> Fox, M. D. & Raichle, M. E. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.
> Nat Rev Neurosci, 2007, 8, 700-711
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> Shmuel, A. & Leopold, D. A. Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest. Hum Brain Mapp, 2008, 29, 751-761
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> Mantini, D.; Perrucci, M. G.; Gratta, C. D.; Romani, G. L. & Corbetta, M. Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci U S A, 2007, 104, 13170-13175
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> de Pasquale, F.; Penna, S. D.; Snyder, A. Z.; Lewis, C.; Mantini, D.; Marzetti, L.; Belardinelli, P.; Ciancetta, L.; Pizzella, V.; Romani, G. L. & Corbetta, M. Temporal dynamics of spontaneous MEG activity in brain networks. Proc Natl Acad Sci U S A, 2010, 107, 6040-6045
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> Brookes, M. J.; Woolrich, M.; Luckhoo, H.; Price, D.; Hale, J. R.; Stephenson, M. C.; Barnes, G. R.; Smith, S. M. & Morris, P. G.
> Investigating the electrophysiological basis of resting state networks using magnetoencephalography. Proc Natl Acad Sci U S A, 2011, 108, 16783-16788
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> A list of upcoming seminars can be found at : http://www.bme.mcgill.ca/seminars.html
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> See you there
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> 
> 
> Christophe Grova
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> 
> 
> ***************************
> Christophe Grova, PhD
> Assistant Professor
> Biomedical Engineering Dpt
> Neurology and Neurosurgery Dpt
> 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.mni.mcgill.ca/research/gotman/members/christophe.html
> http://www.bmed.mcgill.ca/
> ***************************
>