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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018-01-01
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| Series: | NeuroImage: Clinical |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158217302826 |
| _version_ | 1818509097930063872 |
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| author | Niels Bergsland Dana Horakova Michael G. Dwyer Tomas Uher Manuela Vaneckova Michaela Tyblova Zdenek Seidl Jan Krasensky Eva Havrdova Robert Zivadinov |
| author_facet | Niels Bergsland Dana Horakova Michael G. Dwyer Tomas Uher Manuela Vaneckova Michaela Tyblova Zdenek Seidl Jan Krasensky Eva Havrdova Robert Zivadinov |
| author_sort | Niels Bergsland |
| collection | DOAJ |
| 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 10years 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 10years of follow-up, disability progression in MS is related to GM atrophy in areas associated with motor and cognitive functioning. Keywords: Multiple sclerosis, Disability, MRI, Atrophy, Gray matter |
| first_indexed | 2024-12-10T22:40:49Z |
| format | Article |
| id | doaj.art-dce7f652f09c4df2acc2698f4d1c187f |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-10T22:40:49Z |
| publishDate | 2018-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-dce7f652f09c4df2acc2698f4d1c187f2022-12-22T01:30:43ZengElsevierNeuroImage: Clinical2213-15822018-01-0117444451Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry studyNiels Bergsland0Dana Horakova1Michael G. Dwyer2Tomas Uher3Manuela Vaneckova4Michaela Tyblova5Zdenek Seidl6Jan Krasensky7Eva Havrdova8Robert Zivadinov9Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Corresponding author at: Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, 100 High St., Buffalo, NY 14203, USA.Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech RepublicBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USADepartment of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech RepublicDepartment of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech RepublicDepartment of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech RepublicDepartment of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech RepublicDepartment of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech RepublicDepartment of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech RepublicBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Translational Imaging Center at Clinical Translational Research Center, University at Buffalo, State University of New York, Buffalo, NY, USAObjectives: 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 10years 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 10years of follow-up, disability progression in MS is related to GM atrophy in areas associated with motor and cognitive functioning. Keywords: Multiple sclerosis, Disability, MRI, Atrophy, Gray matterhttp://www.sciencedirect.com/science/article/pii/S2213158217302826 |
| spellingShingle | Niels Bergsland Dana Horakova Michael G. Dwyer Tomas Uher Manuela Vaneckova Michaela Tyblova Zdenek Seidl Jan Krasensky Eva Havrdova Robert Zivadinov Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study NeuroImage: Clinical |
| 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 |
| url | http://www.sciencedirect.com/science/article/pii/S2213158217302826 |
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