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Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS
OBJECTIVE: We applied longitudinal 3T MRI and advanced computational models in 2 independent cohorts of patients with early MS to investigate how white matter (WM) lesion distribution and cortical atrophy topographically interrelate and affect functional disability. METHODS: Clinical disability was...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051213/ https://www.ncbi.nlm.nih.gov/pubmed/32024782 http://dx.doi.org/10.1212/NXI.0000000000000681 |
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author | Muthuraman, Muthuraman Fleischer, Vinzenz Kroth, Julia Ciolac, Dumitru Radetz, Angela Koirala, Nabin Gonzalez-Escamilla, Gabriel Wiendl, Heinz Meuth, Sven G. Zipp, Frauke Groppa, Sergiu |
author_facet | Muthuraman, Muthuraman Fleischer, Vinzenz Kroth, Julia Ciolac, Dumitru Radetz, Angela Koirala, Nabin Gonzalez-Escamilla, Gabriel Wiendl, Heinz Meuth, Sven G. Zipp, Frauke Groppa, Sergiu |
author_sort | Muthuraman, Muthuraman |
collection | PubMed |
description | OBJECTIVE: We applied longitudinal 3T MRI and advanced computational models in 2 independent cohorts of patients with early MS to investigate how white matter (WM) lesion distribution and cortical atrophy topographically interrelate and affect functional disability. METHODS: Clinical disability was measured using the Expanded Disability Status Scale Score at baseline and at 1-year follow-up in a cohort of 119 patients with early relapsing-remitting MS and in a replication cohort of 81 patients. Covarying patterns of cortical atrophy and baseline lesion distribution were extracted by parallel independent component analysis. Predictive power of covarying patterns for disability progression was tested by receiver operating characteristic analysis at the group level and support vector machine for individual patient outcome. RESULTS: In the study cohort, we identified 3 distinct distribution types of WM lesions (cerebellar, bihemispheric, and left lateralized) that were associated with characteristic cortical atrophy distributions. The cerebellar and left-lateralized patterns were reproducibly detected in the second cohort. Each of the patterns predicted to different extents, short-term disability progression, whereas the cerebellar pattern was associated with the highest risk of clinical worsening, predicting individual disability progression with an accuracy of 88% (study cohort) and 89% (replication cohort), respectively. CONCLUSION: These findings highlight the role of distinct spatial distribution of cortical atrophy and WM lesions predicting disability. The cerebellar involvement is shown as a key determinant of rapid clinical deterioration. |
format | Online Article Text |
id | pubmed-7051213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-70512132020-03-13 Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS Muthuraman, Muthuraman Fleischer, Vinzenz Kroth, Julia Ciolac, Dumitru Radetz, Angela Koirala, Nabin Gonzalez-Escamilla, Gabriel Wiendl, Heinz Meuth, Sven G. Zipp, Frauke Groppa, Sergiu Neurol Neuroimmunol Neuroinflamm Article OBJECTIVE: We applied longitudinal 3T MRI and advanced computational models in 2 independent cohorts of patients with early MS to investigate how white matter (WM) lesion distribution and cortical atrophy topographically interrelate and affect functional disability. METHODS: Clinical disability was measured using the Expanded Disability Status Scale Score at baseline and at 1-year follow-up in a cohort of 119 patients with early relapsing-remitting MS and in a replication cohort of 81 patients. Covarying patterns of cortical atrophy and baseline lesion distribution were extracted by parallel independent component analysis. Predictive power of covarying patterns for disability progression was tested by receiver operating characteristic analysis at the group level and support vector machine for individual patient outcome. RESULTS: In the study cohort, we identified 3 distinct distribution types of WM lesions (cerebellar, bihemispheric, and left lateralized) that were associated with characteristic cortical atrophy distributions. The cerebellar and left-lateralized patterns were reproducibly detected in the second cohort. Each of the patterns predicted to different extents, short-term disability progression, whereas the cerebellar pattern was associated with the highest risk of clinical worsening, predicting individual disability progression with an accuracy of 88% (study cohort) and 89% (replication cohort), respectively. CONCLUSION: These findings highlight the role of distinct spatial distribution of cortical atrophy and WM lesions predicting disability. The cerebellar involvement is shown as a key determinant of rapid clinical deterioration. Lippincott Williams & Wilkins 2020-02-05 /pmc/articles/PMC7051213/ /pubmed/32024782 http://dx.doi.org/10.1212/NXI.0000000000000681 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Article Muthuraman, Muthuraman Fleischer, Vinzenz Kroth, Julia Ciolac, Dumitru Radetz, Angela Koirala, Nabin Gonzalez-Escamilla, Gabriel Wiendl, Heinz Meuth, Sven G. Zipp, Frauke Groppa, Sergiu Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS |
title | Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS |
title_full | Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS |
title_fullStr | Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS |
title_full_unstemmed | Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS |
title_short | Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS |
title_sort | covarying patterns of white matter lesions and cortical atrophy predict progression in early ms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051213/ https://www.ncbi.nlm.nih.gov/pubmed/32024782 http://dx.doi.org/10.1212/NXI.0000000000000681 |
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