[BIC-announce] FW: Method in Brain Imaging Meeting - Analysis methods for functional brain imaging under naturalistic stimulation

[Jennifer Chew, Ms.]

FOR YOUR INFORMATION.  Jennifer

From: Francine Bélanger [mailto:francine.belanger at criugm.qc.ca]
Sent: Wednesday, April 17, 2013 10:30 AM
To: Jennifer Chew, Ms.
Subject: Method in Brain Imaging Meeting

The next meeting « Methods in Brain Imaging" will be next Friday, April 19th. We will have the pleasure to have Pr. Jussi Tohka as a speaker, from Tampere University in Finland. He will present us new methodsfor functional brain imaging under naturalistic stimulation, e.g. movies. This experimental paradigm is very different from the stimuli traditionnaly used in fMRI, and opens us fascinating possibilities (see a recent example<http://youtu.be/z0uw9YBnMSc>). We are very lucky to have Pr. Tohka to guide us through the technical details involved in this type of work, in our usual small and friendly MBI meeting.

           Date:              Friday, April 19th, 2013
           Time:             2:00 p.m.
           Venue:           CRIUGM - 4545 Queen-Mary, Montreal
                                 Room E-1910

           Title:              Analysis methods for functional brain imaging under naturalistic stimulation
           Summary:      In this talk, I will describe alternatives to analyze functional brain imaging data acquired under naturalistic stimulation conditions with an emphasis on fMRI during movie watching. In the traditional functional neuroimaging with highly artificial stimulus/task paradigms, the statistical data-analysis can be based on detecting brain areas in which the temporal signal coincides with the simple and known stimulus. Although the detailed mathematics involved in this process are complicated, the process itself is conceptually simple and the analysis results cannot be assumed and alternate data-analysis methods have to be adopted. I will describe our experiences in developing and using inte-subject correlation analysis and its extensions as well as machine learning based stimulus decoding methods for the task.

Pierre Bellec, PhD
Researcher / Chercheur, Research Centre of the Montreal Geriatric Institute
Professeur adjoint sous octroi, Department of Computer Science and Operations Research
University of Montreal, Québec, Canada
1 514 340 3540 #3367
http://simexp-lab.org/brainwiki/doku.php?id=pierrebellec
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