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Journal Articles Medical Image Analysis Year : 2008

Regions, systems, and the brain: hierarchical measures of functional integration in fMRI.

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Abstract

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.

Dates and versions

inserm-00536662 , version 1 (16-11-2010)

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Cite

Guillaume Marrelec, Pierre Bellec, Alexandre Krainik, Hugues Duffau, Mélanie Pélégrini-Issac, et al.. Regions, systems, and the brain: hierarchical measures of functional integration in fMRI.. Medical Image Analysis, 2008, 12 (4), pp.484-96. ⟨10.1016/j.media.2008.02.002⟩. ⟨inserm-00536662⟩
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