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....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Medical image analysis 2008-08, Vol.12 (4), p.484-496
Hauptverfasser: Marrelec, Guillaume, Bellec, Pierre, Krainik, Alexandre, Duffau, Hugues, Pélégrini-Issac, Mélanie, Lehéricy, Stéphane, Benali, Habib, Doyon, Julien
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 496
container_issue 4
container_start_page 484
container_title Medical image analysis
container_volume 12
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
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_inserm_00536662v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1361841508000224</els_id><sourcerecordid>69317330</sourcerecordid><originalsourceid>FETCH-LOGICAL-c425t-4ee57485e043400b7eedcc62031248109f288efd66485ed098e5df7117b55abc3</originalsourceid><addsrcrecordid>eNqFkUtrGzEUhUVpqfP6BYUyq67iydVz5EIWxiR1wCUQEshOaDR3bJl5JNJMIP8-cm3SXbLSkfSdo4sOIT8o5BSoutjmLVbe5gxA58ByAPaFHFGu6FQLxr--ayon5DjGLQAUQsB3MqGaz5QQ9Ig83uHa9108z-JrHLBNwnZVNmwwK4P13e9s6THY4Dbe2SZr0cYxYMz6OqvHzg3Jm459N-A62N0u6az-e3dzSr7Vtol4dlhPyMP11f1iOV3d_rlZzFdTJ5gcpgJRFkJLBMEFQFkgVs4pBpwyoSnMaqY11pVSO6iCmUZZ1QWlRSmlLR0_Ief73I1tzFPwrQ2vprfeLOcr47uIoTUAkiul2AtN-K89_hT65xHjYFofHTaN7bAfo1EzTgvO4VOQUWCKSZ1Avgdd6GMMWL9PQcHsijJb868osyvKAEvjsOT6eYgfy3T733NoJgGXewDT572kDkx0HjuXkgK6wVS9__CBN7J_o3w</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>21026258</pqid></control><display><type>article</type><title>Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Marrelec, Guillaume ; Bellec, Pierre ; Krainik, Alexandre ; Duffau, Hugues ; Pélégrini-Issac, Mélanie ; Lehéricy, Stéphane ; Benali, Habib ; Doyon, Julien</creator><creatorcontrib>Marrelec, Guillaume ; Bellec, Pierre ; Krainik, Alexandre ; Duffau, Hugues ; Pélégrini-Issac, Mélanie ; Lehéricy, Stéphane ; Benali, Habib ; Doyon, Julien</creatorcontrib><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.</description><identifier>ISSN: 1361-8415</identifier><identifier>EISSN: 1361-8423</identifier><identifier>DOI: 10.1016/j.media.2008.02.002</identifier><identifier>PMID: 18396441</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Brain ; Brain - anatomy &amp; 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</subject><ispartof>Medical image analysis, 2008-08, Vol.12 (4), p.484-496</ispartof><rights>2008 Elsevier B.V.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-4ee57485e043400b7eedcc62031248109f288efd66485ed098e5df7117b55abc3</citedby><orcidid>0000-0002-6558-2342 ; 0000-0002-4375-0982 ; 0000-0002-5802-3518 ; 0000-0002-9111-0699 ; 0000-0003-3260-5795</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.media.2008.02.002$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18396441$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inserm.hal.science/inserm-00536662$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Marrelec, Guillaume</creatorcontrib><creatorcontrib>Bellec, Pierre</creatorcontrib><creatorcontrib>Krainik, Alexandre</creatorcontrib><creatorcontrib>Duffau, Hugues</creatorcontrib><creatorcontrib>Pélégrini-Issac, Mélanie</creatorcontrib><creatorcontrib>Lehéricy, Stéphane</creatorcontrib><creatorcontrib>Benali, Habib</creatorcontrib><creatorcontrib>Doyon, Julien</creatorcontrib><title>Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI</title><title>Medical image analysis</title><addtitle>Med Image Anal</addtitle><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.</description><subject>Brain</subject><subject>Brain - anatomy &amp; histology</subject><subject>Brain - physiology</subject><subject>Brain Neoplasms</subject><subject>Brain Neoplasms - physiopathology</subject><subject>Brain plasticity</subject><subject>fMRI</subject><subject>Functional brain interactions</subject><subject>Functional connectivity</subject><subject>Glioma</subject><subject>Glioma - physiopathology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Information proper</subject><subject>Integration</subject><subject>Life Sciences</subject><subject>Low-grade glioma</subject><subject>Magnetic Resonance Imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Multiinformation</subject><subject>Mutual information</subject><subject>Neuronal Plasticity</subject><subject>Neuronal Plasticity - physiology</subject><subject>Neurons and Cognition</subject><subject>Surgery</subject><issn>1361-8415</issn><issn>1361-8423</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtrGzEUhUVpqfP6BYUyq67iydVz5EIWxiR1wCUQEshOaDR3bJl5JNJMIP8-cm3SXbLSkfSdo4sOIT8o5BSoutjmLVbe5gxA58ByAPaFHFGu6FQLxr--ayon5DjGLQAUQsB3MqGaz5QQ9Ig83uHa9108z-JrHLBNwnZVNmwwK4P13e9s6THY4Dbe2SZr0cYxYMz6OqvHzg3Jm459N-A62N0u6az-e3dzSr7Vtol4dlhPyMP11f1iOV3d_rlZzFdTJ5gcpgJRFkJLBMEFQFkgVs4pBpwyoSnMaqY11pVSO6iCmUZZ1QWlRSmlLR0_Ief73I1tzFPwrQ2vprfeLOcr47uIoTUAkiul2AtN-K89_hT65xHjYFofHTaN7bAfo1EzTgvO4VOQUWCKSZ1Avgdd6GMMWL9PQcHsijJb868osyvKAEvjsOT6eYgfy3T733NoJgGXewDT572kDkx0HjuXkgK6wVS9__CBN7J_o3w</recordid><startdate>20080801</startdate><enddate>20080801</enddate><creator>Marrelec, Guillaume</creator><creator>Bellec, Pierre</creator><creator>Krainik, Alexandre</creator><creator>Duffau, Hugues</creator><creator>Pélégrini-Issac, Mélanie</creator><creator>Lehéricy, Stéphane</creator><creator>Benali, Habib</creator><creator>Doyon, Julien</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-6558-2342</orcidid><orcidid>https://orcid.org/0000-0002-4375-0982</orcidid><orcidid>https://orcid.org/0000-0002-5802-3518</orcidid><orcidid>https://orcid.org/0000-0002-9111-0699</orcidid><orcidid>https://orcid.org/0000-0003-3260-5795</orcidid></search><sort><creationdate>20080801</creationdate><title>Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI</title><author>Marrelec, Guillaume ; Bellec, Pierre ; Krainik, Alexandre ; Duffau, Hugues ; Pélégrini-Issac, Mélanie ; Lehéricy, Stéphane ; Benali, Habib ; Doyon, Julien</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-4ee57485e043400b7eedcc62031248109f288efd66485ed098e5df7117b55abc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Brain</topic><topic>Brain - anatomy &amp; histology</topic><topic>Brain - physiology</topic><topic>Brain Neoplasms</topic><topic>Brain Neoplasms - physiopathology</topic><topic>Brain plasticity</topic><topic>fMRI</topic><topic>Functional brain interactions</topic><topic>Functional connectivity</topic><topic>Glioma</topic><topic>Glioma - physiopathology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Information proper</topic><topic>Integration</topic><topic>Life Sciences</topic><topic>Low-grade glioma</topic><topic>Magnetic Resonance Imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Multiinformation</topic><topic>Mutual information</topic><topic>Neuronal Plasticity</topic><topic>Neuronal Plasticity - physiology</topic><topic>Neurons and Cognition</topic><topic>Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marrelec, Guillaume</creatorcontrib><creatorcontrib>Bellec, Pierre</creatorcontrib><creatorcontrib>Krainik, Alexandre</creatorcontrib><creatorcontrib>Duffau, Hugues</creatorcontrib><creatorcontrib>Pélégrini-Issac, Mélanie</creatorcontrib><creatorcontrib>Lehéricy, Stéphane</creatorcontrib><creatorcontrib>Benali, Habib</creatorcontrib><creatorcontrib>Doyon, Julien</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Medical image analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marrelec, Guillaume</au><au>Bellec, Pierre</au><au>Krainik, Alexandre</au><au>Duffau, Hugues</au><au>Pélégrini-Issac, Mélanie</au><au>Lehéricy, Stéphane</au><au>Benali, Habib</au><au>Doyon, Julien</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI</atitle><jtitle>Medical image analysis</jtitle><addtitle>Med Image Anal</addtitle><date>2008-08-01</date><risdate>2008</risdate><volume>12</volume><issue>4</issue><spage>484</spage><epage>496</epage><pages>484-496</pages><issn>1361-8415</issn><eissn>1361-8423</eissn><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.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>18396441</pmid><doi>10.1016/j.media.2008.02.002</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6558-2342</orcidid><orcidid>https://orcid.org/0000-0002-4375-0982</orcidid><orcidid>https://orcid.org/0000-0002-5802-3518</orcidid><orcidid>https://orcid.org/0000-0002-9111-0699</orcidid><orcidid>https://orcid.org/0000-0003-3260-5795</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1361-8415
ispartof Medical image analysis, 2008-08, Vol.12 (4), p.484-496
issn 1361-8415
1361-8423
language eng
recordid cdi_hal_primary_oai_HAL_inserm_00536662v1
source MEDLINE; Elsevier ScienceDirect Journals Complete
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T12%3A45%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Regions,%20systems,%20and%20the%20brain:%20Hierarchical%20measures%20of%20functional%20integration%20in%20fMRI&rft.jtitle=Medical%20image%20analysis&rft.au=Marrelec,%20Guillaume&rft.date=2008-08-01&rft.volume=12&rft.issue=4&rft.spage=484&rft.epage=496&rft.pages=484-496&rft.issn=1361-8415&rft.eissn=1361-8423&rft_id=info:doi/10.1016/j.media.2008.02.002&rft_dat=%3Cproquest_hal_p%3E69317330%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=21026258&rft_id=info:pmid/18396441&rft_els_id=S1361841508000224&rfr_iscdi=true