Causality in Brain Connectivity Studies Using Functional Magnetic Resonance Imaging (fMRI) Data

author: Alard Roebroeck, Maastricht University
published: Jan. 19, 2010,   recorded: December 2009,   views: 5829


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


This talk will discuss the application of Granger causality to fMRI data in the form of Granger causality mapping (GCM), which is used to explore directed influences between neuronal populations (effective connectivity) in fMRI data. The method does not rely on a priori specification of a model that contains pre-selected regions and connections between them. This distinguishes it from other fMRI effective connectivity approaches that aim at testing or contrasting specific hypotheses about neuronal interactions. Instead, GCM relies on the Granger causality concept to define the existence and direction of influence from temporal information in the data. The problems of limited temporal resolution in fMRI, and the hemodynamic source of the signal that makes direct interpretation of fMRI Granger causality as neuronal influence difficult, will be discussed.

See Also:

Download slides icon Download slides: nips09_roebroeck_gcbcsufmri_01.pdf (664.4 KB)

Download slides icon Download slides: nips09_roebroeck_gcbcsufmri_01.ppt (10.1 MB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: