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Cerebellar abnormalities contribute to disability including cognitive impairment in multiple sclerosis
The cerebellum is known to be involved not only in motor but also cognitive and affective processes. Structural changes in the cerebellum in relation to cognitive dysfunction are an emerging topic in the field of neuro-psychiatric disorders. In Multiple Sclerosis (MS) cerebellar motor and cognitive...
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Published in: | PloS one 2014-01, Vol.9 (1), p.e86916-e86916 |
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creator | Weier, Katrin Penner, Iris K Magon, Stefano Amann, Michael Naegelin, Yvonne Andelova, Michaela Derfuss, Tobias Stippich, Christoph Radue, Ernst-Wilhelm Kappos, Ludwig Sprenger, Till |
description | The cerebellum is known to be involved not only in motor but also cognitive and affective processes. Structural changes in the cerebellum in relation to cognitive dysfunction are an emerging topic in the field of neuro-psychiatric disorders. In Multiple Sclerosis (MS) cerebellar motor and cognitive dysfunction occur in parallel, early in the onset of the disease, and the cerebellum is one of the predilection sites of atrophy. This study is aimed at determining the relationship between cerebellar volumes, clinical cerebellar signs, cognitive functioning and fatigue in MS. Cerebellar volumetry was conducted using T1-weighted MPRAGE magnetic resonance imaging of 172 MS patients. All patients underwent a clinical and brief neuropsychological assessment (information processing speed, working memory), including fatigue testing. Patients with and without cerebellar signs differed significantly regarding normalized cerebellar total volume (nTCV), normalized brain volume (nBV) and whole brain T2 lesion volume (LV). Patients with cerebellar dysfunction likewise performed worse in cognitive tests. A regression analysis indicated that age and nTCV explained 26.3% of the variance in SDMT (symbol digit modalities test) performance. However, only age, T2 LV and nBV remained predictors in the full model (r(2) = 0.36). The full model for the prediction of PASAT (Paced Auditory Serial Addition Test) scores (r(2) = 0.23) included age, cerebellar and T2 LV. In the case of fatigue, only age and nBV (r(2) = 0.17) emerged as significant predictors. These data support the view that cerebellar abnormalities contribute to disability, including cognitive impairment in MS. However, this contribution does not seem to be independent of, and may even be dominated by wider spread MS pathology as reflected by nBV and T2 LV. |
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Structural changes in the cerebellum in relation to cognitive dysfunction are an emerging topic in the field of neuro-psychiatric disorders. In Multiple Sclerosis (MS) cerebellar motor and cognitive dysfunction occur in parallel, early in the onset of the disease, and the cerebellum is one of the predilection sites of atrophy. This study is aimed at determining the relationship between cerebellar volumes, clinical cerebellar signs, cognitive functioning and fatigue in MS. Cerebellar volumetry was conducted using T1-weighted MPRAGE magnetic resonance imaging of 172 MS patients. All patients underwent a clinical and brief neuropsychological assessment (information processing speed, working memory), including fatigue testing. Patients with and without cerebellar signs differed significantly regarding normalized cerebellar total volume (nTCV), normalized brain volume (nBV) and whole brain T2 lesion volume (LV). Patients with cerebellar dysfunction likewise performed worse in cognitive tests. A regression analysis indicated that age and nTCV explained 26.3% of the variance in SDMT (symbol digit modalities test) performance. However, only age, T2 LV and nBV remained predictors in the full model (r(2) = 0.36). The full model for the prediction of PASAT (Paced Auditory Serial Addition Test) scores (r(2) = 0.23) included age, cerebellar and T2 LV. In the case of fatigue, only age and nBV (r(2) = 0.17) emerged as significant predictors. These data support the view that cerebellar abnormalities contribute to disability, including cognitive impairment in MS. However, this contribution does not seem to be independent of, and may even be dominated by wider spread MS pathology as reflected by nBV and T2 LV.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0086916</identifier><identifier>PMID: 24466290</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abnormalities ; Adult ; Age ; Age Factors ; Aged ; Atrophy ; Brain ; Brain damage ; Cerebellum ; Cerebellum - pathology ; Cognition & reasoning ; Cognition Disorders - etiology ; Cognition Disorders - pathology ; Cognitive ability ; Cognitive disorders ; Data processing ; Fatigue ; Fatigue - etiology ; Fatigue - physiopathology ; Fatigue tests ; Female ; Humans ; Impairment ; Information processing ; Magnetic resonance ; Magnetic Resonance Imaging ; Male ; Mathematical models ; Medical research ; Medicine ; Memory ; Mental disorders ; Middle Aged ; Models, Biological ; Multiple sclerosis ; Multiple Sclerosis - complications ; Multiple Sclerosis - pathology ; Multiple Sclerosis - physiopathology ; Neuroimaging ; Neurology ; Neuropsychological Tests ; NMR ; Nuclear magnetic resonance ; Organ Size - physiology ; Patients ; Regression Analysis ; Short term memory ; Studies ; Volumetric analysis ; Women</subject><ispartof>PloS one, 2014-01, Vol.9 (1), p.e86916-e86916</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Weier et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Weier et al 2014 Weier et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-ba311a16f67b495d83976478468772f93d92f0d1a63569c58a3aa95ea2ac1a5d3</citedby><cites>FETCH-LOGICAL-c758t-ba311a16f67b495d83976478468772f93d92f0d1a63569c58a3aa95ea2ac1a5d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1491120308/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1491120308?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25751,27922,27923,37010,37011,44588,53789,53791,74896</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24466290$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bruce, Amanda</contributor><creatorcontrib>Weier, Katrin</creatorcontrib><creatorcontrib>Penner, Iris K</creatorcontrib><creatorcontrib>Magon, Stefano</creatorcontrib><creatorcontrib>Amann, Michael</creatorcontrib><creatorcontrib>Naegelin, Yvonne</creatorcontrib><creatorcontrib>Andelova, Michaela</creatorcontrib><creatorcontrib>Derfuss, Tobias</creatorcontrib><creatorcontrib>Stippich, Christoph</creatorcontrib><creatorcontrib>Radue, Ernst-Wilhelm</creatorcontrib><creatorcontrib>Kappos, Ludwig</creatorcontrib><creatorcontrib>Sprenger, Till</creatorcontrib><title>Cerebellar abnormalities contribute to disability including cognitive impairment in multiple sclerosis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The cerebellum is known to be involved not only in motor but also cognitive and affective processes. Structural changes in the cerebellum in relation to cognitive dysfunction are an emerging topic in the field of neuro-psychiatric disorders. In Multiple Sclerosis (MS) cerebellar motor and cognitive dysfunction occur in parallel, early in the onset of the disease, and the cerebellum is one of the predilection sites of atrophy. This study is aimed at determining the relationship between cerebellar volumes, clinical cerebellar signs, cognitive functioning and fatigue in MS. Cerebellar volumetry was conducted using T1-weighted MPRAGE magnetic resonance imaging of 172 MS patients. All patients underwent a clinical and brief neuropsychological assessment (information processing speed, working memory), including fatigue testing. Patients with and without cerebellar signs differed significantly regarding normalized cerebellar total volume (nTCV), normalized brain volume (nBV) and whole brain T2 lesion volume (LV). Patients with cerebellar dysfunction likewise performed worse in cognitive tests. A regression analysis indicated that age and nTCV explained 26.3% of the variance in SDMT (symbol digit modalities test) performance. However, only age, T2 LV and nBV remained predictors in the full model (r(2) = 0.36). The full model for the prediction of PASAT (Paced Auditory Serial Addition Test) scores (r(2) = 0.23) included age, cerebellar and T2 LV. In the case of fatigue, only age and nBV (r(2) = 0.17) emerged as significant predictors. These data support the view that cerebellar abnormalities contribute to disability, including cognitive impairment in MS. However, this contribution does not seem to be independent of, and may even be dominated by wider spread MS pathology as reflected by nBV and T2 LV.</description><subject>Abnormalities</subject><subject>Adult</subject><subject>Age</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Atrophy</subject><subject>Brain</subject><subject>Brain damage</subject><subject>Cerebellum</subject><subject>Cerebellum - pathology</subject><subject>Cognition & reasoning</subject><subject>Cognition Disorders - etiology</subject><subject>Cognition Disorders - pathology</subject><subject>Cognitive ability</subject><subject>Cognitive disorders</subject><subject>Data processing</subject><subject>Fatigue</subject><subject>Fatigue - etiology</subject><subject>Fatigue - physiopathology</subject><subject>Fatigue tests</subject><subject>Female</subject><subject>Humans</subject><subject>Impairment</subject><subject>Information processing</subject><subject>Magnetic resonance</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Memory</subject><subject>Mental disorders</subject><subject>Middle Aged</subject><subject>Models, Biological</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - complications</subject><subject>Multiple Sclerosis - pathology</subject><subject>Multiple Sclerosis - physiopathology</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neuropsychological Tests</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Organ Size - physiology</subject><subject>Patients</subject><subject>Regression Analysis</subject><subject>Short term memory</subject><subject>Studies</subject><subject>Volumetric analysis</subject><subject>Women</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk0tr3DAQx01padK036C0hkJpD7u1LFm2LoWw9LEQCPR1FWN5vKsgS1tJDs23rzbrhHXJoeggofnNX5pXlr0kxZLQmny4cqO3YJY7Z3FZFA0XhD_KTomg5YKXBX18dD7JnoVwVRQVbTh_mp2UjHFeiuI061fosUVjwOfQWucHMDpqDLlyNnrdjhHz6PJOB2h1Mt3k2iozdtpuErKxCb7GXA870H5AG5M5H0YT9c5gHpRB74IOz7MnPZiAL6b9LPv5-dOP1dfFxeWX9er8YqHqqomLFighQHjP65aJqmuoqDmrG8abui57QTtR9kVHgNOKC1U1QAFEhVCCIlB19Cx7fdDdGRfklKIgCROEpDwUTSLWB6JzcCV3Xg_gb6QDLW8vnN9I8FGnj0tUHHtOWUkrYFDXQrG-pxxZp3hFsExaH6fXxnbATqXwPZiZ6Nxi9VZu3LWkjRC0qJPAu0nAu98jhigHHdS-GhbdePvvMoVOeJXQN_-gD0c3URtIAWjbu_Su2ovK85THpmIV4YlaPkCl1eGgU92x1-l-5vB-5rDvDfwTNzCGINffv_0_e_lrzr49YrcIJm6DM2PUzoY5yA6gSu0UPPb3SSaF3I_DXTbkfhzkNA7J7dVxge6d7vqf_gXzQAa-</recordid><startdate>20140122</startdate><enddate>20140122</enddate><creator>Weier, Katrin</creator><creator>Penner, Iris K</creator><creator>Magon, Stefano</creator><creator>Amann, Michael</creator><creator>Naegelin, Yvonne</creator><creator>Andelova, Michaela</creator><creator>Derfuss, Tobias</creator><creator>Stippich, Christoph</creator><creator>Radue, Ernst-Wilhelm</creator><creator>Kappos, Ludwig</creator><creator>Sprenger, Till</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140122</creationdate><title>Cerebellar abnormalities contribute to disability including cognitive impairment in multiple sclerosis</title><author>Weier, Katrin ; Penner, Iris K ; Magon, Stefano ; Amann, Michael ; Naegelin, Yvonne ; Andelova, Michaela ; Derfuss, Tobias ; Stippich, Christoph ; Radue, Ernst-Wilhelm ; Kappos, Ludwig ; Sprenger, Till</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-ba311a16f67b495d83976478468772f93d92f0d1a63569c58a3aa95ea2ac1a5d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Abnormalities</topic><topic>Adult</topic><topic>Age</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Atrophy</topic><topic>Brain</topic><topic>Brain damage</topic><topic>Cerebellum</topic><topic>Cerebellum - 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Structural changes in the cerebellum in relation to cognitive dysfunction are an emerging topic in the field of neuro-psychiatric disorders. In Multiple Sclerosis (MS) cerebellar motor and cognitive dysfunction occur in parallel, early in the onset of the disease, and the cerebellum is one of the predilection sites of atrophy. This study is aimed at determining the relationship between cerebellar volumes, clinical cerebellar signs, cognitive functioning and fatigue in MS. Cerebellar volumetry was conducted using T1-weighted MPRAGE magnetic resonance imaging of 172 MS patients. All patients underwent a clinical and brief neuropsychological assessment (information processing speed, working memory), including fatigue testing. Patients with and without cerebellar signs differed significantly regarding normalized cerebellar total volume (nTCV), normalized brain volume (nBV) and whole brain T2 lesion volume (LV). Patients with cerebellar dysfunction likewise performed worse in cognitive tests. A regression analysis indicated that age and nTCV explained 26.3% of the variance in SDMT (symbol digit modalities test) performance. However, only age, T2 LV and nBV remained predictors in the full model (r(2) = 0.36). The full model for the prediction of PASAT (Paced Auditory Serial Addition Test) scores (r(2) = 0.23) included age, cerebellar and T2 LV. In the case of fatigue, only age and nBV (r(2) = 0.17) emerged as significant predictors. These data support the view that cerebellar abnormalities contribute to disability, including cognitive impairment in MS. However, this contribution does not seem to be independent of, and may even be dominated by wider spread MS pathology as reflected by nBV and T2 LV.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24466290</pmid><doi>10.1371/journal.pone.0086916</doi><tpages>e86916</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abnormalities Adult Age Age Factors Aged Atrophy Brain Brain damage Cerebellum Cerebellum - pathology Cognition & reasoning Cognition Disorders - etiology Cognition Disorders - pathology Cognitive ability Cognitive disorders Data processing Fatigue Fatigue - etiology Fatigue - physiopathology Fatigue tests Female Humans Impairment Information processing Magnetic resonance Magnetic Resonance Imaging Male Mathematical models Medical research Medicine Memory Mental disorders Middle Aged Models, Biological Multiple sclerosis Multiple Sclerosis - complications Multiple Sclerosis - pathology Multiple Sclerosis - physiopathology Neuroimaging Neurology Neuropsychological Tests NMR Nuclear magnetic resonance Organ Size - physiology Patients Regression Analysis Short term memory Studies Volumetric analysis Women |
title | Cerebellar abnormalities contribute to disability including cognitive impairment in multiple sclerosis |
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