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Longitudinal study of functional brain network reorganization in clinically isolated syndrome
Background: There is a lack of longitudinal studies exploring the topological organization of functional brain networks at the early stages of multiple sclerosis (MS). Objective: This study aims to assess potential brain functional reorganization at rest in patients with CIS (PwCIS) after 1 year of...
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| Published in: | Multiple sclerosis 2020-02, Vol.26 (2), p.188-200 |
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| Main Authors: | , , , , , , , , , , |
| Format: | Article |
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| container_end_page | 200 |
| container_issue | 2 |
| container_start_page | 188 |
| container_title | Multiple sclerosis |
| container_volume | 26 |
| creator | Koubiyr, Ismail Deloire, Mathilde Besson, Pierre Coupé, Pierrick Dulau, Cécile Pelletier, Jean Tourdias, Thomas Audoin, Bertrand Brochet, Bruno Ranjeva, Jean-Philippe Ruet, Aurélie |
| description | Background:
There is a lack of longitudinal studies exploring the topological organization of functional brain networks at the early stages of multiple sclerosis (MS).
Objective:
This study aims to assess potential brain functional reorganization at rest in patients with CIS (PwCIS) after 1 year of evolution and to characterize the dynamics of functional brain networks at the early stage of the disease.
Methods:
We prospectively included 41 PwCIS and 19 matched healthy controls (HCs). They were scanned at baseline and after 1 year. Using graph theory, topological metrics were calculated for each region. Hub disruption index was computed for each metric.
Results:
Hub disruption indexes of degree and betweenness centrality were negative at baseline in patients (p |
| doi_str_mv | 10.1177/1352458518813108 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_02059512v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1352458518813108</sage_id><sourcerecordid>2354651646</sourcerecordid><originalsourceid>FETCH-LOGICAL-c441t-88b58b9d68815c32f930b4a48eec7cc43995380a31a83c44d99da6c9cf14caf13</originalsourceid><addsrcrecordid>eNp1kcFP2zAUxq0JNArbndMUiQscMuzYju0jQoNOqrQLHKfoxXE6g2t3djJU_noctStSJU5-et_v-57th9A5wd8JEeKaUF4xLjmRklCC5Sc0I0yIEiuBj3Kd5XLST9BpSk8YYyEo_4xOKGYSs1rM0O9F8Es7jJ314IqUi00R-qIfvR5smHptBOsLb4aXEJ-LaEJcgrevMMlFVrSz3mpwblPYFBwMpivSxncxrMwXdNyDS-br7jxDj3c_Hm7n5eLX_c_bm0WpGSNDKWXLZau6Oj-Da1r1iuKWAZPGaKE1o0pxKjFQApJmS6dUB7VWuidMQ0_oGbra5v4B16yjXUHcNAFsM79ZNFMPV5grTqp_E3u5Zdcx_B1NGpqVTdo4B96EMTUVobKmqlZVRi8O0KcwxvwpmaKc1ZzUrM4U3lI6hpSi6fc3ILiZ1tQcrilbvu2Cx3Zlur3h_14yUG6BBEvzPvXDwDetFJmd</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2354651646</pqid></control><display><type>article</type><title>Longitudinal study of functional brain network reorganization in clinically isolated syndrome</title><source>SAGE:Jisc Collections:SAGE Journals Read and Publish 2023-2024:2025 extension (reading list)</source><creator>Koubiyr, Ismail ; Deloire, Mathilde ; Besson, Pierre ; Coupé, Pierrick ; Dulau, Cécile ; Pelletier, Jean ; Tourdias, Thomas ; Audoin, Bertrand ; Brochet, Bruno ; Ranjeva, Jean-Philippe ; Ruet, Aurélie</creator><creatorcontrib>Koubiyr, Ismail ; Deloire, Mathilde ; Besson, Pierre ; Coupé, Pierrick ; Dulau, Cécile ; Pelletier, Jean ; Tourdias, Thomas ; Audoin, Bertrand ; Brochet, Bruno ; Ranjeva, Jean-Philippe ; Ruet, Aurélie</creatorcontrib><description>Background:
There is a lack of longitudinal studies exploring the topological organization of functional brain networks at the early stages of multiple sclerosis (MS).
Objective:
This study aims to assess potential brain functional reorganization at rest in patients with CIS (PwCIS) after 1 year of evolution and to characterize the dynamics of functional brain networks at the early stage of the disease.
Methods:
We prospectively included 41 PwCIS and 19 matched healthy controls (HCs). They were scanned at baseline and after 1 year. Using graph theory, topological metrics were calculated for each region. Hub disruption index was computed for each metric.
Results:
Hub disruption indexes of degree and betweenness centrality were negative at baseline in patients (p < 0.05), suggesting brain reorganization. After 1 year, hub disruption indexes for degree and betweenness centrality were still negative (p < 0.00001), but such reorganization appeared more pronounced than at baseline. Different brain regions were driving these alterations. No global efficiency differences were observed between PwCIS and HCs either at baseline or at 1 year.
Conclusion:
Dynamic changes in functional brain networks appear at the early stages of MS and are associated with the maintenance of normal global efficiency in the brain, suggesting a compensatory effect.</description><identifier>ISSN: 1352-4585</identifier><identifier>EISSN: 1477-0970</identifier><identifier>DOI: 10.1177/1352458518813108</identifier><identifier>PMID: 30480467</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adult ; Bioengineering ; Brain - diagnostic imaging ; Brain - physiopathology ; Brain architecture ; Demyelinating Diseases - diagnostic imaging ; Demyelinating Diseases - physiopathology ; Female ; Functional morphology ; Humans ; Image Interpretation, Computer-Assisted ; Imaging ; Life Sciences ; Longitudinal Studies ; Magnetic Resonance Imaging - methods ; Male ; Multiple sclerosis ; Nerve Net - diagnostic imaging ; Nerve Net - physiopathology ; Neuroimaging - methods</subject><ispartof>Multiple sclerosis, 2020-02, Vol.26 (2), p.188-200</ispartof><rights>The Author(s), 2018</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-88b58b9d68815c32f930b4a48eec7cc43995380a31a83c44d99da6c9cf14caf13</citedby><cites>FETCH-LOGICAL-c441t-88b58b9d68815c32f930b4a48eec7cc43995380a31a83c44d99da6c9cf14caf13</cites><orcidid>0000-0002-9860-7657 ; 0000-0001-8073-102X ; 0000-0003-2709-3350 ; 0000-0001-9730-7567</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30480467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://amu.hal.science/hal-02059512$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Koubiyr, Ismail</creatorcontrib><creatorcontrib>Deloire, Mathilde</creatorcontrib><creatorcontrib>Besson, Pierre</creatorcontrib><creatorcontrib>Coupé, Pierrick</creatorcontrib><creatorcontrib>Dulau, Cécile</creatorcontrib><creatorcontrib>Pelletier, Jean</creatorcontrib><creatorcontrib>Tourdias, Thomas</creatorcontrib><creatorcontrib>Audoin, Bertrand</creatorcontrib><creatorcontrib>Brochet, Bruno</creatorcontrib><creatorcontrib>Ranjeva, Jean-Philippe</creatorcontrib><creatorcontrib>Ruet, Aurélie</creatorcontrib><title>Longitudinal study of functional brain network reorganization in clinically isolated syndrome</title><title>Multiple sclerosis</title><addtitle>Mult Scler</addtitle><description>Background:
There is a lack of longitudinal studies exploring the topological organization of functional brain networks at the early stages of multiple sclerosis (MS).
Objective:
This study aims to assess potential brain functional reorganization at rest in patients with CIS (PwCIS) after 1 year of evolution and to characterize the dynamics of functional brain networks at the early stage of the disease.
Methods:
We prospectively included 41 PwCIS and 19 matched healthy controls (HCs). They were scanned at baseline and after 1 year. Using graph theory, topological metrics were calculated for each region. Hub disruption index was computed for each metric.
Results:
Hub disruption indexes of degree and betweenness centrality were negative at baseline in patients (p < 0.05), suggesting brain reorganization. After 1 year, hub disruption indexes for degree and betweenness centrality were still negative (p < 0.00001), but such reorganization appeared more pronounced than at baseline. Different brain regions were driving these alterations. No global efficiency differences were observed between PwCIS and HCs either at baseline or at 1 year.
Conclusion:
Dynamic changes in functional brain networks appear at the early stages of MS and are associated with the maintenance of normal global efficiency in the brain, suggesting a compensatory effect.</description><subject>Adult</subject><subject>Bioengineering</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - physiopathology</subject><subject>Brain architecture</subject><subject>Demyelinating Diseases - diagnostic imaging</subject><subject>Demyelinating Diseases - physiopathology</subject><subject>Female</subject><subject>Functional morphology</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Imaging</subject><subject>Life Sciences</subject><subject>Longitudinal Studies</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Multiple sclerosis</subject><subject>Nerve Net - diagnostic imaging</subject><subject>Nerve Net - physiopathology</subject><subject>Neuroimaging - methods</subject><issn>1352-4585</issn><issn>1477-0970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kcFP2zAUxq0JNArbndMUiQscMuzYju0jQoNOqrQLHKfoxXE6g2t3djJU_noctStSJU5-et_v-57th9A5wd8JEeKaUF4xLjmRklCC5Sc0I0yIEiuBj3Kd5XLST9BpSk8YYyEo_4xOKGYSs1rM0O9F8Es7jJ314IqUi00R-qIfvR5smHptBOsLb4aXEJ-LaEJcgrevMMlFVrSz3mpwblPYFBwMpivSxncxrMwXdNyDS-br7jxDj3c_Hm7n5eLX_c_bm0WpGSNDKWXLZau6Oj-Da1r1iuKWAZPGaKE1o0pxKjFQApJmS6dUB7VWuidMQ0_oGbra5v4B16yjXUHcNAFsM79ZNFMPV5grTqp_E3u5Zdcx_B1NGpqVTdo4B96EMTUVobKmqlZVRi8O0KcwxvwpmaKc1ZzUrM4U3lI6hpSi6fc3ILiZ1tQcrilbvu2Cx3Zlur3h_14yUG6BBEvzPvXDwDetFJmd</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Koubiyr, Ismail</creator><creator>Deloire, Mathilde</creator><creator>Besson, Pierre</creator><creator>Coupé, Pierrick</creator><creator>Dulau, Cécile</creator><creator>Pelletier, Jean</creator><creator>Tourdias, Thomas</creator><creator>Audoin, Bertrand</creator><creator>Brochet, Bruno</creator><creator>Ranjeva, Jean-Philippe</creator><creator>Ruet, Aurélie</creator><general>SAGE Publications</general><general>Sage Publications Ltd</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>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-9860-7657</orcidid><orcidid>https://orcid.org/0000-0001-8073-102X</orcidid><orcidid>https://orcid.org/0000-0003-2709-3350</orcidid><orcidid>https://orcid.org/0000-0001-9730-7567</orcidid></search><sort><creationdate>20200201</creationdate><title>Longitudinal study of functional brain network reorganization in clinically isolated syndrome</title><author>Koubiyr, Ismail ; Deloire, Mathilde ; Besson, Pierre ; Coupé, Pierrick ; Dulau, Cécile ; Pelletier, Jean ; Tourdias, Thomas ; Audoin, Bertrand ; Brochet, Bruno ; Ranjeva, Jean-Philippe ; Ruet, Aurélie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-88b58b9d68815c32f930b4a48eec7cc43995380a31a83c44d99da6c9cf14caf13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Bioengineering</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - physiopathology</topic><topic>Brain architecture</topic><topic>Demyelinating Diseases - diagnostic imaging</topic><topic>Demyelinating Diseases - physiopathology</topic><topic>Female</topic><topic>Functional morphology</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Imaging</topic><topic>Life Sciences</topic><topic>Longitudinal Studies</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Multiple sclerosis</topic><topic>Nerve Net - diagnostic imaging</topic><topic>Nerve Net - physiopathology</topic><topic>Neuroimaging - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koubiyr, Ismail</creatorcontrib><creatorcontrib>Deloire, Mathilde</creatorcontrib><creatorcontrib>Besson, Pierre</creatorcontrib><creatorcontrib>Coupé, Pierrick</creatorcontrib><creatorcontrib>Dulau, Cécile</creatorcontrib><creatorcontrib>Pelletier, Jean</creatorcontrib><creatorcontrib>Tourdias, Thomas</creatorcontrib><creatorcontrib>Audoin, Bertrand</creatorcontrib><creatorcontrib>Brochet, Bruno</creatorcontrib><creatorcontrib>Ranjeva, Jean-Philippe</creatorcontrib><creatorcontrib>Ruet, Aurélie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Multiple sclerosis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koubiyr, Ismail</au><au>Deloire, Mathilde</au><au>Besson, Pierre</au><au>Coupé, Pierrick</au><au>Dulau, Cécile</au><au>Pelletier, Jean</au><au>Tourdias, Thomas</au><au>Audoin, Bertrand</au><au>Brochet, Bruno</au><au>Ranjeva, Jean-Philippe</au><au>Ruet, Aurélie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal study of functional brain network reorganization in clinically isolated syndrome</atitle><jtitle>Multiple sclerosis</jtitle><addtitle>Mult Scler</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>26</volume><issue>2</issue><spage>188</spage><epage>200</epage><pages>188-200</pages><issn>1352-4585</issn><eissn>1477-0970</eissn><abstract>Background:
There is a lack of longitudinal studies exploring the topological organization of functional brain networks at the early stages of multiple sclerosis (MS).
Objective:
This study aims to assess potential brain functional reorganization at rest in patients with CIS (PwCIS) after 1 year of evolution and to characterize the dynamics of functional brain networks at the early stage of the disease.
Methods:
We prospectively included 41 PwCIS and 19 matched healthy controls (HCs). They were scanned at baseline and after 1 year. Using graph theory, topological metrics were calculated for each region. Hub disruption index was computed for each metric.
Results:
Hub disruption indexes of degree and betweenness centrality were negative at baseline in patients (p < 0.05), suggesting brain reorganization. After 1 year, hub disruption indexes for degree and betweenness centrality were still negative (p < 0.00001), but such reorganization appeared more pronounced than at baseline. Different brain regions were driving these alterations. No global efficiency differences were observed between PwCIS and HCs either at baseline or at 1 year.
Conclusion:
Dynamic changes in functional brain networks appear at the early stages of MS and are associated with the maintenance of normal global efficiency in the brain, suggesting a compensatory effect.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>30480467</pmid><doi>10.1177/1352458518813108</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-9860-7657</orcidid><orcidid>https://orcid.org/0000-0001-8073-102X</orcidid><orcidid>https://orcid.org/0000-0003-2709-3350</orcidid><orcidid>https://orcid.org/0000-0001-9730-7567</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Multiple sclerosis, 2020-02, Vol.26 (2), p.188-200 |
| issn | 1352-4585 1477-0970 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_02059512v1 |
| source | SAGE:Jisc Collections:SAGE Journals Read and Publish 2023-2024:2025 extension (reading list) |
| subjects | Adult Bioengineering Brain - diagnostic imaging Brain - physiopathology Brain architecture Demyelinating Diseases - diagnostic imaging Demyelinating Diseases - physiopathology Female Functional morphology Humans Image Interpretation, Computer-Assisted Imaging Life Sciences Longitudinal Studies Magnetic Resonance Imaging - methods Male Multiple sclerosis Nerve Net - diagnostic imaging Nerve Net - physiopathology Neuroimaging - methods |
| title | Longitudinal study of functional brain network reorganization in clinically isolated syndrome |
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