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

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.
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Article dans une revue
Medical Image Analysis, Elsevier, 2008, 12 (4), pp.484-96. 〈10.1016/j.media.2008.02.002〉
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http://www.hal.inserm.fr/inserm-00536662
Contributeur : Michel Dojat <>
Soumis le : mardi 16 novembre 2010 - 16:41:38
Dernière modification le : mercredi 21 mars 2018 - 18:57:25

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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, Elsevier, 2008, 12 (4), pp.484-96. 〈10.1016/j.media.2008.02.002〉. 〈inserm-00536662〉

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