Journal
MEDICAL IMAGE ANALYSIS
Volume 12, Issue 4, Pages 484-496Publisher
ELSEVIER
DOI: 10.1016/j.media.2008.02.002
Keywords
fMRI; functional brain interactions; functional connectivity; integration; mutual information; information proper; multiinformation; low-grade glioma; brain plasticity; surgery
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In neuroscience, the notion has emerged that the brain abides by two principles: segregation and integration. Segregation into functionally specialized systems and integration of information flow across systems are basic principles that are thought to shape the functional architecture of the brain. A measure called integration, originating from information theory and derived from mutual information, has been proposed to characterize the global integrative state of a network. In this paper, we show that integration can be applied in a hierarchical fashion to quantify functional interactions between compound systems, each system being composed of several regions. We apply this method to fMRI datasets from patients with low-grade glioma and show how it can efficiently extract information related to both intra- and interhemispheric reorganization induced by lesional brain plasticity. (C) 2008 Elsevier B.V. All rights reserved.
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