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R. Baumgartner, et al., “Comparison of two exploratory data analysis methods for fMRI: Fuzzy clustering vs. principal component analysis,” Magnetic Resonance Imaging, Vol. 18, No. 1, pp. 89–94, 2000.

has been cited by the following article:

• TITLE: Modeling of Circuits within Networks by fMRI

  AUTHORS: G. de Marco, A. le Pellec

  KEYWORDS: fMRI, CNS, Modeling, Network, Effective Connectivity

  JOURNAL NAME: Wireless Sensor Network, Vol.2 No.3, April 12, 2010

  ABSTRACT: In this review, the authors describe the most recent functional imaging approaches used to explore and identify circuits within networks and model spatially and anatomically interconnected regions. After defining the concept of functional and effective connectivity, the authors describe various methods of identification and modeling of circuits within networks. The description of specific circuits in networks should allow a more realistic definition of dynamic functioning of the central nervous system which underlies various brain functions.