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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
Main Authors: 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
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cited_by cdi_FETCH-LOGICAL-c4488-ae2130a23c07f6710157da817749a03e5ad2f7a44d8394b8900779107d15a8273
cites cdi_FETCH-LOGICAL-c4488-ae2130a23c07f6710157da817749a03e5ad2f7a44d8394b8900779107d15a8273
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container_issue 4
container_start_page 1609
container_title Human brain mapping
container_volume 36
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 
doi_str_mv 10.1002/hbm.22698
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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 &lt; 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 &lt; 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. 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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 &lt; 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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ispartof Human brain mapping, 2015-04, Vol.36 (4), p.1609-1619
issn 1065-9471
1097-0193
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6869568
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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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