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Title: Functional connectivity modelling in fMRI based on causal networks
Authors: Deleus, Filip
De Mazière, Patrick
Van Hulle, Marc #
Issue Date: 2002
Publisher: IEEE
Host Document: Neural networks for signal processing xii, proceedings pages:119-128
Conference: Neural networks for signal processing edition:12 location:Martigny Switzerland date:04-06 September 2002
Abstract: We apply the principle of causal networks to develop a new tool for connectivity analysis in functional Magnetic Resonance Imaging (fMRI). The connections between active brain regions are modelled as causal relationships in a causal network. The causal networks are based on the notion of d-separation in a graph-theoretic context or, equivalently, on the notion of conditional independence in a statistical context. Since relationships between brain regions are believed to be non-linear in nature [1], we express the conditional dependencies between the brain regions' activities in terms of conditional mutual information. The density estimates needed for computing the conditional mutual information are obtained with topographic maps, trained with the kernel-based Maximum Entropy Rule (kMER).
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Group Neurophysiology
Laboratory for Neuro- and Psychofysiology
Centre for High Stakes Assessment in Medical Education (-)
# (joint) last author

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