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Contribution of normal aging to brain atrophy in MS

OBJECTIVE: To identify the top brain regions affected by MS-specific atrophy (i.e., atrophy in excess of normal aging) and to test whether normal aging and MS-specific atrophy increase or decrease in these regions with age. METHODS: Six hundred fifty subjects (2,790 MRI time points) were analyzed: 5...

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Autores principales: Azevedo, Christina J., Cen, Steven Y., Jaberzadeh, Amir, Zheng, Ling, Hauser, Stephen L., Pelletier, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6807662/
https://www.ncbi.nlm.nih.gov/pubmed/32330116
http://dx.doi.org/10.1212/NXI.0000000000000616
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author Azevedo, Christina J.
Cen, Steven Y.
Jaberzadeh, Amir
Zheng, Ling
Hauser, Stephen L.
Pelletier, Daniel
author_facet Azevedo, Christina J.
Cen, Steven Y.
Jaberzadeh, Amir
Zheng, Ling
Hauser, Stephen L.
Pelletier, Daniel
author_sort Azevedo, Christina J.
collection PubMed
description OBJECTIVE: To identify the top brain regions affected by MS-specific atrophy (i.e., atrophy in excess of normal aging) and to test whether normal aging and MS-specific atrophy increase or decrease in these regions with age. METHODS: Six hundred fifty subjects (2,790 MRI time points) were analyzed: 520 subjects with relapse-onset MS from a 5-year prospective cohort with annual standardized 1-mm 3D T1-weighted images (3DT1s; 2,483 MRIs) and 130 healthy controls with longitudinal 3DT1s (307 MRIs). Rates of change in all FreeSurfer regions (v5.3) and Structural Image Evaluation Using Normalization of Atrophy (SIENA) were estimated with mixed-effects models. All FreeSurfer regions were ranked by the MS-specific atrophy slope/standard error ratio (β(MS × time)/SE(βMS × time)). In the top regions, age was added as an effect modifier to test whether MS-specific atrophy varied by age. RESULTS: The top-ranked regions were all gray matter structures. For SIENA, normal aging increased from 0.01%/y at age 30 years to −0.31%/y at age 60 years (−0.11% ± 0.032%/decade, p < 0.01), whereas MS-specific atrophy decreased from −0.38%/y at age 30 years to −0.12%/y at age 60 years (0.09% ± 0.035%/decade, p = 0.01). Similarly, in the thalamus, normal aging increased from −0.15%/y at age 30 years to −0.62%/y at age 60 years (−0.16% ± 0.079%/decade, p < 0.05), and MS-specific atrophy decreased from −0.59%/y at age 30 years to −0.05%/y at age 60 years (0.18% ± 0.08%/decade, p < 0.05). In the putamen and caudate, normal aging and MS-specific atrophy did not vary by age. CONCLUSIONS: For SIENA and thalamic atrophy, the contribution of normal aging increases with age, but does not change in the putamen and caudate. This may have substantial implications to understand the biology of brain atrophy in MS.
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spelling pubmed-68076622019-12-13 Contribution of normal aging to brain atrophy in MS Azevedo, Christina J. Cen, Steven Y. Jaberzadeh, Amir Zheng, Ling Hauser, Stephen L. Pelletier, Daniel Neurol Neuroimmunol Neuroinflamm Article OBJECTIVE: To identify the top brain regions affected by MS-specific atrophy (i.e., atrophy in excess of normal aging) and to test whether normal aging and MS-specific atrophy increase or decrease in these regions with age. METHODS: Six hundred fifty subjects (2,790 MRI time points) were analyzed: 520 subjects with relapse-onset MS from a 5-year prospective cohort with annual standardized 1-mm 3D T1-weighted images (3DT1s; 2,483 MRIs) and 130 healthy controls with longitudinal 3DT1s (307 MRIs). Rates of change in all FreeSurfer regions (v5.3) and Structural Image Evaluation Using Normalization of Atrophy (SIENA) were estimated with mixed-effects models. All FreeSurfer regions were ranked by the MS-specific atrophy slope/standard error ratio (β(MS × time)/SE(βMS × time)). In the top regions, age was added as an effect modifier to test whether MS-specific atrophy varied by age. RESULTS: The top-ranked regions were all gray matter structures. For SIENA, normal aging increased from 0.01%/y at age 30 years to −0.31%/y at age 60 years (−0.11% ± 0.032%/decade, p < 0.01), whereas MS-specific atrophy decreased from −0.38%/y at age 30 years to −0.12%/y at age 60 years (0.09% ± 0.035%/decade, p = 0.01). Similarly, in the thalamus, normal aging increased from −0.15%/y at age 30 years to −0.62%/y at age 60 years (−0.16% ± 0.079%/decade, p < 0.05), and MS-specific atrophy decreased from −0.59%/y at age 30 years to −0.05%/y at age 60 years (0.18% ± 0.08%/decade, p < 0.05). In the putamen and caudate, normal aging and MS-specific atrophy did not vary by age. CONCLUSIONS: For SIENA and thalamic atrophy, the contribution of normal aging increases with age, but does not change in the putamen and caudate. This may have substantial implications to understand the biology of brain atrophy in MS. Lippincott Williams & Wilkins 2019-09-24 /pmc/articles/PMC6807662/ /pubmed/32330116 http://dx.doi.org/10.1212/NXI.0000000000000616 Text en Copyright © 2019 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
Azevedo, Christina J.
Cen, Steven Y.
Jaberzadeh, Amir
Zheng, Ling
Hauser, Stephen L.
Pelletier, Daniel
Contribution of normal aging to brain atrophy in MS
title Contribution of normal aging to brain atrophy in MS
title_full Contribution of normal aging to brain atrophy in MS
title_fullStr Contribution of normal aging to brain atrophy in MS
title_full_unstemmed Contribution of normal aging to brain atrophy in MS
title_short Contribution of normal aging to brain atrophy in MS
title_sort contribution of normal aging to brain atrophy in ms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6807662/
https://www.ncbi.nlm.nih.gov/pubmed/32330116
http://dx.doi.org/10.1212/NXI.0000000000000616
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