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J.L. Prince, D.L. Pham, and K.J. Myers (Eds.): IPMI 2009, LNCS 5636, pp. 7687, 2009. Springer-Verlag Berlin Heidelberg 2009
 

Summary: J.L. Prince, D.L. Pham, and K.J. Myers (Eds.): IPMI 2009, LNCS 5636, pp. 7687, 2009.
Springer-Verlag Berlin Heidelberg 2009
Discovering Sparse Functional Brain Networks Using
Group Replicator Dynamics (GRD)
Bernard Ng1
, Rafeef Abugharbieh1
, and Martin J. McKeown2
1
Biomedical Signal and Image Computing Lab, Department of Electrical Engineering,
2
Department of Medicine (Neurology), Pacific Parkinson's Research Center,
The University of British Columbia, Vancouver, BC, Canada
bernardn@ece.ubc.ca, rafeef@ece.ubc.ca,
mmckeown@interchange.ubc.ca
Abstract. Functional magnetic resonance imaging (fMRI) has become increas-
ingly used for studying functional integration of the brain. However, the large
inter-subject variability in functional connectivity renders detection of represen-
tative group networks very difficult. In this paper, we propose a new iterative
method that we refer to as "group replicator dynamics," for detecting sparse
functional networks that are common across subjects within a group. The pro-

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences