[BIC-announce] Seminar in Biomedical Engineering - Wednesday February 1st at 13h

[Christophe Grova]

Dear all,

Our next Biomedical Engineering Dpt seminar today, I will present myself this seminar

Wednesday - February 1st,  at 13h

Location: Room  333 Lyman Duff Building (Biomedical Engineering Dpt, 3775 University Street).

Speaker: Dr. C. Grova, Biomedical Engineering Dpt / Neurology and Neurosurgery Dpt, McGill University


Title: Multimodal analysis of epileptic activity: insights from electrophysiology and hemodynamic measurements.

Abstract:
Interictal epileptic discharges, and notably, interictal spikes, are spontaneous neuronal discharges characteristic of the epilepsy of a patient. As opposed to seizures, these spontaneous events are not associated with clinical manifestations, thus allowing multimodal investigation. Such events could be detected using Electro- or Magneto-Encephalography (EEG /MEG) as large amplitude spontaneous events lasting around 100ms, that can be detected from physiological background activity. To be detectable from scalp data, it has been shown that the underlying generators of such epileptic activity should be spatially extended, a minimum area of 4 cm2 has been suggested in MEG and 6cm2 in EEG. In this context, we proposed the Maximum Entropy on the Mean (MEM) framework to localize the generators of EEG/MEG activity together with their spatial extent. The first part of the talk will introduce the MEM method and the evaluation of its performance when using EEG and then MEG data. A detailed comparison between inferences using entropic techniques and Restricted Maximum Likelihood in a hierarchical Bayesian framework will be presented. The second section of the talk will present a time-frequency extension of the MEM framework, in order to localize oscillating activity in some specific frequency bands.  This method we recently proposed has been validated using simulated data and applied to the localization of bursts of rhythmic epileptic activity.  The third part of the talk will illustrate how these source localization techniques able to estimate the spatial extent of the generators could be used in a multimodal framework comparing electrophysiology and hemodynamic processes at the time of epileptic spikes. Illustration using EEG/fMRI data and preliminary results using EEG/NIRS data will be presented.


A list of upcoming seminars can be found at : http://www.bme.mcgill.ca/seminars.html

See you there

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/
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