Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI
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....
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Veröffentlicht in: | Medical image analysis 2008-08, Vol.12 (4), p.484-496 |
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creator | Marrelec, Guillaume Bellec, Pierre Krainik, Alexandre Duffau, Hugues Pélégrini-Issac, Mélanie Lehéricy, Stéphane Benali, Habib Doyon, Julien |
description | 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. |
doi_str_mv | 10.1016/j.media.2008.02.002 |
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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. 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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. 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subjects | Brain Brain - anatomy & histology Brain - physiology Brain Neoplasms Brain Neoplasms - physiopathology Brain plasticity fMRI Functional brain interactions Functional connectivity Glioma Glioma - physiopathology Humans Image Processing, Computer-Assisted Information proper Integration Life Sciences Low-grade glioma Magnetic Resonance Imaging Magnetic Resonance Imaging - methods Multiinformation Mutual information Neuronal Plasticity Neuronal Plasticity - physiology Neurons and Cognition Surgery |
title | Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI |
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