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Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study
OBJECTIVES: To investigate spatial patterns of gray matter (GM) atrophy and their association with disability progression in patients with early relapsing-remitting multiple sclerosis (MS) in a longitudinal setting. METHODS: Brain MRI and clinical neurological assessments were obtained in 152 MS pat...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5684496/ https://www.ncbi.nlm.nih.gov/pubmed/29159057 http://dx.doi.org/10.1016/j.nicl.2017.11.002 |
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author | Bergsland, Niels Horakova, Dana Dwyer, Michael G. Uher, Tomas Vaneckova, Manuela Tyblova, Michaela Seidl, Zdenek Krasensky, Jan Havrdova, Eva Zivadinov, Robert |
author_facet | Bergsland, Niels Horakova, Dana Dwyer, Michael G. Uher, Tomas Vaneckova, Manuela Tyblova, Michaela Seidl, Zdenek Krasensky, Jan Havrdova, Eva Zivadinov, Robert |
author_sort | Bergsland, Niels |
collection | PubMed |
description | OBJECTIVES: To investigate spatial patterns of gray matter (GM) atrophy and their association with disability progression in patients with early relapsing-remitting multiple sclerosis (MS) in a longitudinal setting. METHODS: Brain MRI and clinical neurological assessments were obtained in 152 MS patients at baseline and after 10 years of follow-up. Patients were classified into those with confirmed disability progression (CDP) (n = 85) and those without CDP (n = 67) at the end of the study. An optimized, longitudinal source-based morphometry (SBM) pipeline, which utilizes independent component analysis, was used to identify eight spatial patterns of common GM volume co-variation in a data-driven manner. GM volume at baseline and rates of change were compared between patients with CDP and those without CDP. RESULTS: The identified patterns generally included structurally or functionally related GM regions. No significant differences were detected at baseline GM volume between the sub-groups. Over the follow-up, patients with CDP experienced a significantly greater rate of GM atrophy within two of the eight patterns, after correction for multiple comparisons (corrected p-values of 0.001 and 0.007). The patterns of GM atrophy associated with the development of CDP included areas involved in motor functioning and cognitive domains such as learning and memory. CONCLUSION: SBM analysis offers a novel way to study the temporal evolution of regional GM atrophy. Over 10 years of follow-up, disability progression in MS is related to GM atrophy in areas associated with motor and cognitive functioning. |
format | Online Article Text |
id | pubmed-5684496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-56844962017-11-20 Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study Bergsland, Niels Horakova, Dana Dwyer, Michael G. Uher, Tomas Vaneckova, Manuela Tyblova, Michaela Seidl, Zdenek Krasensky, Jan Havrdova, Eva Zivadinov, Robert Neuroimage Clin Regular Article OBJECTIVES: To investigate spatial patterns of gray matter (GM) atrophy and their association with disability progression in patients with early relapsing-remitting multiple sclerosis (MS) in a longitudinal setting. METHODS: Brain MRI and clinical neurological assessments were obtained in 152 MS patients at baseline and after 10 years of follow-up. Patients were classified into those with confirmed disability progression (CDP) (n = 85) and those without CDP (n = 67) at the end of the study. An optimized, longitudinal source-based morphometry (SBM) pipeline, which utilizes independent component analysis, was used to identify eight spatial patterns of common GM volume co-variation in a data-driven manner. GM volume at baseline and rates of change were compared between patients with CDP and those without CDP. RESULTS: The identified patterns generally included structurally or functionally related GM regions. No significant differences were detected at baseline GM volume between the sub-groups. Over the follow-up, patients with CDP experienced a significantly greater rate of GM atrophy within two of the eight patterns, after correction for multiple comparisons (corrected p-values of 0.001 and 0.007). The patterns of GM atrophy associated with the development of CDP included areas involved in motor functioning and cognitive domains such as learning and memory. CONCLUSION: SBM analysis offers a novel way to study the temporal evolution of regional GM atrophy. Over 10 years of follow-up, disability progression in MS is related to GM atrophy in areas associated with motor and cognitive functioning. Elsevier 2017-11-05 /pmc/articles/PMC5684496/ /pubmed/29159057 http://dx.doi.org/10.1016/j.nicl.2017.11.002 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Bergsland, Niels Horakova, Dana Dwyer, Michael G. Uher, Tomas Vaneckova, Manuela Tyblova, Michaela Seidl, Zdenek Krasensky, Jan Havrdova, Eva Zivadinov, Robert Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study |
title | Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study |
title_full | Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study |
title_fullStr | Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study |
title_full_unstemmed | Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study |
title_short | Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study |
title_sort | gray matter atrophy patterns in multiple sclerosis: a 10-year source-based morphometry study |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5684496/ https://www.ncbi.nlm.nih.gov/pubmed/29159057 http://dx.doi.org/10.1016/j.nicl.2017.11.002 |
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