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G. Fichtinger, A. Martel, and T. Peters (Eds.): MICCAI 2011, Part II, LNCS 6892, pp. 285292, 2011. Springer-Verlag Berlin Heidelberg 2011
 

Summary: G. Fichtinger, A. Martel, and T. Peters (Eds.): MICCAI 2011, Part II, LNCS 6892, pp. 285292, 2011.
Springer-Verlag Berlin Heidelberg 2011
Connectivity-Informed fMRI Activation Detection
Bernard Ng1
, Rafeef Abugharbieh1
, Gael Varoquaux2
,
Jean Baptiste Poline2
, and Bertrand Thirion2
1
Biomedical Signal and Image Computing Lab, UBC, Canada
2
Parietal Team, Neurospin, INRIA Saclay-Ile-de-France, France
bernardyng@gmail.com
Abstract. A growing interest has emerged in studying the correlation structure
of spontaneous and task-induced brain activity to elucidate the functional
architecture of the brain. In particular, functional networks estimated from
resting state (RS) data were shown to exhibit high resemblance to those evoked
by stimuli. Motivated by these findings, we propose a novel generative model
that integrates RS-connectivity and stimulus-evoked responses under a unified

  

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

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences