[BIC-announce] FW: Killam Seminar - Tuesday, January 10, 2012 - Granger Causality Analysis of fMRI Data: Technical Advances, Applications and Caveats

[Jennifer Chew, Ms.]

PLEASE DISCARD IF THIS IS A DUPLICATE.  JENNIFER

Jennifer Chew
McConnell Brain Imaging Centre
MNI - WB317
3801 University Street
Montreal, Qc  H3A 2B4
Telephone:  514-398-8554
Fax:  514-398-2975



________________________________
From: MNISTAFF - Montreal Neurological Institute Staff [mailto:MNISTAFF at LISTS.MCGILL.CA] On Behalf Of Enza Ferracane, Ms.
Sent: Monday, January 09, 2012 1:53 PM
To: MNISTAFF at LISTS.MCGILL.CA
Subject: Killam Seminar - Tuesday, January 10, 2012

KILLAM LECTURE

Date: Tuesday, January 10, 2012

Speaker:  Xiaoping Hu
Director, Biomedical Imaging Technology Center
Scientific Director, Center for Systems Imaging
Emory University

Title:  Granger Causality Analysis of fMRI Data: Technical Advances, Applications, and Caveats

Functional MRI (fMRI) is becoming increasingly used to assess brain connectivity. One type of connectivity that can be derived from fMRI data is the effective connectivity, the (causal) influence one neural system exerts over another. Several techniques are available in this regard. Granger causality analysis is such a technique, which is based on the temporal precedence in the fMRI signals. We have adopted GCA for the analyzing fMRI data, assessed its validity through extensive simulations, developed modifications to address its limitations and applied it to study brain connectivity under various conditions, including the resting state. This talk will describe the technical intricacies and advances of GCA and illustrate the utility of GCA with several applications.

Hosted by: Amir Shmuel.
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