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Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing-remitting multiple sclerosis
Background: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast “connectometry” approach to assess the structural and functional integrity of cerebellar networks and connec...
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Published in: | Human brain mapping 2015-04, Vol.36 (4), p.1609-1619 |
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creator | Romascano, David Meskaldji, Djalel-Eddine Bonnier, Guillaume Simioni, Samanta Rotzinger, David Lin, Ying-Chia Menegaz, Gloria Roche, Alexis Schluep, Myriam Pasquier, Renaud Du Richiardi, Jonas Van De Ville, Dimitri Daducci, Alessandro Sumpf, Tilman Fraham, Jens Thiran, Jean-Philippe Krueger, Gunnar Granziera, Cristina |
description | Background: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast “connectometry” approach to assess the structural and functional integrity of cerebellar networks and connectivity in early MS. Methods: We used diffusion spectrum and resting‐state functional MRI (rs‐fMRI) to establish the structural and functional cerebellar connectomes in 28 early relapsing‐remitting MS patients and 16 healthy controls (HC). We performed multicontrast “connectometry” by quantifying multiple MRI parameters along the structural tracts (generalized fractional anisotropy‐GFA, T1/T2 relaxation times and magnetization transfer ratio) and functional connectivity measures. Subsequently, we assessed multivariate differences in local connections and network properties between MS and HC subjects; finally, we correlated detected alterations with lesion load, disease duration, and clinical scores. Results: In MS patients, a subset of structural connections showed quantitative MRI changes suggesting loss of axonal microstructure and integrity (increased T1 and decreased GFA, P |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6869568</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3629679291</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4488-ae2130a23c07f6710157da817749a03e5ad2f7a44d8394b8900779107d15a8273</originalsourceid><addsrcrecordid>eNp1kU9PVDEUxRujEUQXfgHTxBWLB21f_7owQYKgYWQBRndN5707UOx7Hds-Yb69HQcmunDTnuT-7rn35iD0mpIDSgg7vJkPB4xJo5-gXUqMagg17dO1lqIxXNEd9CLnW0IoFYQ-RztMcEYN07vofjaF4rs4luRywVWM0JU4QEmrd_gIj3CHS4yhPtjlDDnjDhLMIYRpwC4USK74OGbsRwwuhRVOENwy-_G6STD4UqrCw3rKMgDOXYAUs88v0bOFCxlePfx76OvHk6vjs-b84vTT8dF503GudeOA0ZY41nZELaSihArVO02V4saRFoTr2UI5znvdGj7XhhClDCWqp8Jppto99H7ju5zmA_QdrC8Ndpn84NLKRuftv5XR39jr-MtKLY2Quhq8fTBI8ecEudjbOKWx7myplFwxIwSt1P6G6up1OcFiO4ESuw7J1pDsn5Aq--bvlbbkYyoVONwAdz7A6v9O9uzD7NGy2XT4XOB-2-HSDytVq4T99uXUsqtLw2byu_3c_gYDv61t</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1664729551</pqid></control><display><type>article</type><title>Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing-remitting multiple sclerosis</title><source>PubMed Central</source><creator>Romascano, David ; Meskaldji, Djalel-Eddine ; Bonnier, Guillaume ; Simioni, Samanta ; Rotzinger, David ; Lin, Ying-Chia ; Menegaz, Gloria ; Roche, Alexis ; Schluep, Myriam ; Pasquier, Renaud Du ; Richiardi, Jonas ; Van De Ville, Dimitri ; Daducci, Alessandro ; Sumpf, Tilman ; Fraham, Jens ; Thiran, Jean-Philippe ; Krueger, Gunnar ; Granziera, Cristina</creator><creatorcontrib>Romascano, David ; Meskaldji, Djalel-Eddine ; Bonnier, Guillaume ; Simioni, Samanta ; Rotzinger, David ; Lin, Ying-Chia ; Menegaz, Gloria ; Roche, Alexis ; Schluep, Myriam ; Pasquier, Renaud Du ; Richiardi, Jonas ; Van De Ville, Dimitri ; Daducci, Alessandro ; Sumpf, Tilman ; Fraham, Jens ; Thiran, Jean-Philippe ; Krueger, Gunnar ; Granziera, Cristina</creatorcontrib><description>Background: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast “connectometry” approach to assess the structural and functional integrity of cerebellar networks and connectivity in early MS. Methods: We used diffusion spectrum and resting‐state functional MRI (rs‐fMRI) to establish the structural and functional cerebellar connectomes in 28 early relapsing‐remitting MS patients and 16 healthy controls (HC). We performed multicontrast “connectometry” by quantifying multiple MRI parameters along the structural tracts (generalized fractional anisotropy‐GFA, T1/T2 relaxation times and magnetization transfer ratio) and functional connectivity measures. Subsequently, we assessed multivariate differences in local connections and network properties between MS and HC subjects; finally, we correlated detected alterations with lesion load, disease duration, and clinical scores. Results: In MS patients, a subset of structural connections showed quantitative MRI changes suggesting loss of axonal microstructure and integrity (increased T1 and decreased GFA, P < 0.05). These alterations highly correlated with motor, memory and attention in patients, but were independent of cerebellar lesion load and disease duration. Neither network organization nor rs‐fMRI abnormalities were observed at this early stage. Conclusion: Multicontrast cerebellar connectometry revealed subtle cerebellar alterations in MS patients, which were independent of conventional disease markers and highly correlated with patient function. Future work should assess the prognostic value of the observed damage. Hum Brain Mapp 36:1609–1619, 2015. © 2014 Wiley Periodicals, Inc.</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.22698</identifier><identifier>PMID: 25421928</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Adult ; Cerebellum - pathology ; Cerebellum - physiopathology ; Connectome - methods ; connectometry ; diffusion MRI ; Female ; Humans ; Magnetic Resonance Imaging - methods ; Male ; multicontrast ; multiple sclerosis ; Multiple Sclerosis, Relapsing-Remitting - pathology ; Multiple Sclerosis, Relapsing-Remitting - physiopathology ; Neural Pathways - pathology ; Neural Pathways - physiopathology ; Rest ; resting-state MRI ; Review</subject><ispartof>Human brain mapping, 2015-04, Vol.36 (4), p.1609-1619</ispartof><rights>2014 Wiley Periodicals, Inc.</rights><rights>2015 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4488-ae2130a23c07f6710157da817749a03e5ad2f7a44d8394b8900779107d15a8273</citedby><cites>FETCH-LOGICAL-c4488-ae2130a23c07f6710157da817749a03e5ad2f7a44d8394b8900779107d15a8273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6869568/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6869568/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25421928$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Romascano, David</creatorcontrib><creatorcontrib>Meskaldji, Djalel-Eddine</creatorcontrib><creatorcontrib>Bonnier, Guillaume</creatorcontrib><creatorcontrib>Simioni, Samanta</creatorcontrib><creatorcontrib>Rotzinger, David</creatorcontrib><creatorcontrib>Lin, Ying-Chia</creatorcontrib><creatorcontrib>Menegaz, Gloria</creatorcontrib><creatorcontrib>Roche, Alexis</creatorcontrib><creatorcontrib>Schluep, Myriam</creatorcontrib><creatorcontrib>Pasquier, Renaud Du</creatorcontrib><creatorcontrib>Richiardi, Jonas</creatorcontrib><creatorcontrib>Van De Ville, Dimitri</creatorcontrib><creatorcontrib>Daducci, Alessandro</creatorcontrib><creatorcontrib>Sumpf, Tilman</creatorcontrib><creatorcontrib>Fraham, Jens</creatorcontrib><creatorcontrib>Thiran, Jean-Philippe</creatorcontrib><creatorcontrib>Krueger, Gunnar</creatorcontrib><creatorcontrib>Granziera, Cristina</creatorcontrib><title>Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing-remitting multiple sclerosis</title><title>Human brain mapping</title><addtitle>Hum. Brain Mapp</addtitle><description>Background: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast “connectometry” approach to assess the structural and functional integrity of cerebellar networks and connectivity in early MS. Methods: We used diffusion spectrum and resting‐state functional MRI (rs‐fMRI) to establish the structural and functional cerebellar connectomes in 28 early relapsing‐remitting MS patients and 16 healthy controls (HC). We performed multicontrast “connectometry” by quantifying multiple MRI parameters along the structural tracts (generalized fractional anisotropy‐GFA, T1/T2 relaxation times and magnetization transfer ratio) and functional connectivity measures. Subsequently, we assessed multivariate differences in local connections and network properties between MS and HC subjects; finally, we correlated detected alterations with lesion load, disease duration, and clinical scores. Results: In MS patients, a subset of structural connections showed quantitative MRI changes suggesting loss of axonal microstructure and integrity (increased T1 and decreased GFA, P < 0.05). These alterations highly correlated with motor, memory and attention in patients, but were independent of cerebellar lesion load and disease duration. Neither network organization nor rs‐fMRI abnormalities were observed at this early stage. Conclusion: Multicontrast cerebellar connectometry revealed subtle cerebellar alterations in MS patients, which were independent of conventional disease markers and highly correlated with patient function. Future work should assess the prognostic value of the observed damage. Hum Brain Mapp 36:1609–1619, 2015. © 2014 Wiley Periodicals, Inc.</description><subject>Adult</subject><subject>Cerebellum - pathology</subject><subject>Cerebellum - physiopathology</subject><subject>Connectome - methods</subject><subject>connectometry</subject><subject>diffusion MRI</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>multicontrast</subject><subject>multiple sclerosis</subject><subject>Multiple Sclerosis, Relapsing-Remitting - pathology</subject><subject>Multiple Sclerosis, Relapsing-Remitting - physiopathology</subject><subject>Neural Pathways - pathology</subject><subject>Neural Pathways - physiopathology</subject><subject>Rest</subject><subject>resting-state MRI</subject><subject>Review</subject><issn>1065-9471</issn><issn>1097-0193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp1kU9PVDEUxRujEUQXfgHTxBWLB21f_7owQYKgYWQBRndN5707UOx7Hds-Yb69HQcmunDTnuT-7rn35iD0mpIDSgg7vJkPB4xJo5-gXUqMagg17dO1lqIxXNEd9CLnW0IoFYQ-RztMcEYN07vofjaF4rs4luRywVWM0JU4QEmrd_gIj3CHS4yhPtjlDDnjDhLMIYRpwC4USK74OGbsRwwuhRVOENwy-_G6STD4UqrCw3rKMgDOXYAUs88v0bOFCxlePfx76OvHk6vjs-b84vTT8dF503GudeOA0ZY41nZELaSihArVO02V4saRFoTr2UI5znvdGj7XhhClDCWqp8Jppto99H7ju5zmA_QdrC8Ndpn84NLKRuftv5XR39jr-MtKLY2Quhq8fTBI8ecEudjbOKWx7myplFwxIwSt1P6G6up1OcFiO4ESuw7J1pDsn5Aq--bvlbbkYyoVONwAdz7A6v9O9uzD7NGy2XT4XOB-2-HSDytVq4T99uXUsqtLw2byu_3c_gYDv61t</recordid><startdate>201504</startdate><enddate>201504</enddate><creator>Romascano, David</creator><creator>Meskaldji, Djalel-Eddine</creator><creator>Bonnier, Guillaume</creator><creator>Simioni, Samanta</creator><creator>Rotzinger, David</creator><creator>Lin, Ying-Chia</creator><creator>Menegaz, Gloria</creator><creator>Roche, Alexis</creator><creator>Schluep, Myriam</creator><creator>Pasquier, Renaud Du</creator><creator>Richiardi, Jonas</creator><creator>Van De Ville, Dimitri</creator><creator>Daducci, Alessandro</creator><creator>Sumpf, Tilman</creator><creator>Fraham, Jens</creator><creator>Thiran, Jean-Philippe</creator><creator>Krueger, Gunnar</creator><creator>Granziera, Cristina</creator><general>Blackwell Publishing Ltd</general><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>BSCLL</scope><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>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>5PM</scope></search><sort><creationdate>201504</creationdate><title>Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing-remitting multiple sclerosis</title><author>Romascano, David ; Meskaldji, Djalel-Eddine ; Bonnier, Guillaume ; Simioni, Samanta ; Rotzinger, David ; Lin, Ying-Chia ; Menegaz, Gloria ; Roche, Alexis ; Schluep, Myriam ; Pasquier, Renaud Du ; Richiardi, Jonas ; Van De Ville, Dimitri ; Daducci, Alessandro ; Sumpf, Tilman ; Fraham, Jens ; Thiran, Jean-Philippe ; Krueger, Gunnar ; Granziera, Cristina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4488-ae2130a23c07f6710157da817749a03e5ad2f7a44d8394b8900779107d15a8273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Cerebellum - pathology</topic><topic>Cerebellum - physiopathology</topic><topic>Connectome - methods</topic><topic>connectometry</topic><topic>diffusion MRI</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>multicontrast</topic><topic>multiple sclerosis</topic><topic>Multiple Sclerosis, Relapsing-Remitting - pathology</topic><topic>Multiple Sclerosis, Relapsing-Remitting - physiopathology</topic><topic>Neural Pathways - pathology</topic><topic>Neural Pathways - physiopathology</topic><topic>Rest</topic><topic>resting-state MRI</topic><topic>Review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Romascano, David</creatorcontrib><creatorcontrib>Meskaldji, Djalel-Eddine</creatorcontrib><creatorcontrib>Bonnier, Guillaume</creatorcontrib><creatorcontrib>Simioni, Samanta</creatorcontrib><creatorcontrib>Rotzinger, David</creatorcontrib><creatorcontrib>Lin, Ying-Chia</creatorcontrib><creatorcontrib>Menegaz, Gloria</creatorcontrib><creatorcontrib>Roche, Alexis</creatorcontrib><creatorcontrib>Schluep, Myriam</creatorcontrib><creatorcontrib>Pasquier, Renaud Du</creatorcontrib><creatorcontrib>Richiardi, Jonas</creatorcontrib><creatorcontrib>Van De Ville, Dimitri</creatorcontrib><creatorcontrib>Daducci, Alessandro</creatorcontrib><creatorcontrib>Sumpf, Tilman</creatorcontrib><creatorcontrib>Fraham, Jens</creatorcontrib><creatorcontrib>Thiran, Jean-Philippe</creatorcontrib><creatorcontrib>Krueger, Gunnar</creatorcontrib><creatorcontrib>Granziera, Cristina</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Romascano, David</au><au>Meskaldji, Djalel-Eddine</au><au>Bonnier, Guillaume</au><au>Simioni, Samanta</au><au>Rotzinger, David</au><au>Lin, Ying-Chia</au><au>Menegaz, Gloria</au><au>Roche, Alexis</au><au>Schluep, Myriam</au><au>Pasquier, Renaud Du</au><au>Richiardi, Jonas</au><au>Van De Ville, Dimitri</au><au>Daducci, Alessandro</au><au>Sumpf, Tilman</au><au>Fraham, Jens</au><au>Thiran, Jean-Philippe</au><au>Krueger, Gunnar</au><au>Granziera, Cristina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing-remitting multiple sclerosis</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum. Brain Mapp</addtitle><date>2015-04</date><risdate>2015</risdate><volume>36</volume><issue>4</issue><spage>1609</spage><epage>1619</epage><pages>1609-1619</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>Background: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast “connectometry” approach to assess the structural and functional integrity of cerebellar networks and connectivity in early MS. Methods: We used diffusion spectrum and resting‐state functional MRI (rs‐fMRI) to establish the structural and functional cerebellar connectomes in 28 early relapsing‐remitting MS patients and 16 healthy controls (HC). We performed multicontrast “connectometry” by quantifying multiple MRI parameters along the structural tracts (generalized fractional anisotropy‐GFA, T1/T2 relaxation times and magnetization transfer ratio) and functional connectivity measures. Subsequently, we assessed multivariate differences in local connections and network properties between MS and HC subjects; finally, we correlated detected alterations with lesion load, disease duration, and clinical scores. Results: In MS patients, a subset of structural connections showed quantitative MRI changes suggesting loss of axonal microstructure and integrity (increased T1 and decreased GFA, P < 0.05). These alterations highly correlated with motor, memory and attention in patients, but were independent of cerebellar lesion load and disease duration. Neither network organization nor rs‐fMRI abnormalities were observed at this early stage. Conclusion: Multicontrast cerebellar connectometry revealed subtle cerebellar alterations in MS patients, which were independent of conventional disease markers and highly correlated with patient function. Future work should assess the prognostic value of the observed damage. Hum Brain Mapp 36:1609–1619, 2015. © 2014 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25421928</pmid><doi>10.1002/hbm.22698</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Cerebellum - pathology Cerebellum - physiopathology Connectome - methods connectometry diffusion MRI Female Humans Magnetic Resonance Imaging - methods Male multicontrast multiple sclerosis Multiple Sclerosis, Relapsing-Remitting - pathology Multiple Sclerosis, Relapsing-Remitting - physiopathology Neural Pathways - pathology Neural Pathways - physiopathology Rest resting-state MRI Review |
title | Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing-remitting multiple sclerosis |
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