Identification of a large-scale functional network in functional magnetic resonance imaging

Conference item

In functional magnetic resonance imaging (fMRI), cerebral activity has been increasingly considered as the consequence of a network activation. Selecting the brain regions relevant for the network has thus become a key issue. We propose to define the so-called large-scale functional network involved in a particular task as a set of regions exhibiting strong intrinsic homogeneity, as well as at least one strong long-distance inter-regional interaction. We develop a method to identify such a network, and we validate it on a real dataset, in a context where the existence of a distributed network has already been demonstrated. Our results are compatible with previous studies. This new tool is thus promising for selecting regions when analyzing functional connectivity in fMRI. © 2004 IEEE.

Authors: Bellec, P; Marrelec, G; Perlbarg, V; Jbabdi, S; Jolivet, O

• Host title: 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
• Volume: 1
• Pages: 848-851
• Publication date: 2004-01-01
• ISBN: 0780383885