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Characterization of white matter over 1–2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping

PURPOSE: The aim of this study was to investigate alterations in white matter lesions (WMLs) and normal-appearing white matter (NAWM) with small vessel disease (SVD) over 1–2 years using quantitative susceptibility mapping (QSM) and free-water (FW) mapping. METHODS: Fifty-one SVD patients underwent...

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Autores principales: Sun, Yawen, Hu, Ying, Qiu, Yage, Zhang, Yuyao, Jiang, Changhao, Lu, Peiwen, Xu, Qun, Shi, Yuting, Wei, Hongjiang, Zhou, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562046/
https://www.ncbi.nlm.nih.gov/pubmed/36247993
http://dx.doi.org/10.3389/fnagi.2022.998051
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author Sun, Yawen
Hu, Ying
Qiu, Yage
Zhang, Yuyao
Jiang, Changhao
Lu, Peiwen
Xu, Qun
Shi, Yuting
Wei, Hongjiang
Zhou, Yan
author_facet Sun, Yawen
Hu, Ying
Qiu, Yage
Zhang, Yuyao
Jiang, Changhao
Lu, Peiwen
Xu, Qun
Shi, Yuting
Wei, Hongjiang
Zhou, Yan
author_sort Sun, Yawen
collection PubMed
description PURPOSE: The aim of this study was to investigate alterations in white matter lesions (WMLs) and normal-appearing white matter (NAWM) with small vessel disease (SVD) over 1–2 years using quantitative susceptibility mapping (QSM) and free-water (FW) mapping. METHODS: Fifty-one SVD patients underwent MRI brain scans and neuropsychological testing both at baseline and follow-up. The main approach for treating these patients is the management of risk factors. Quantitative susceptibility (QS), fractional anisotropy (FA), mean diffusivity (MD), FW, FW-corrected FA (FA(T)), and FW-corrected MD (MD(T)) maps within WMLs and NAWM were generated. Furthermore, the JHU-ICBM-DTI label atlas was used as an anatomic guide, and the measurements of the segmented NAWMs were calculated. The average regional values were extracted, and a paired t-test was used to analyze the longitudinal change. Partial correlations were used to assess the relationship between the MRI indices changes (e.g., ΔQS(followup − baseline)/QS(baseline)) and the cognitive function changes (e.g., ΔMoCA(followup − baseline)/MoCA(baseline)). RESULTS: After SVD risk factor control, no gradual cognitive decline occurred during 1–2 years. However, we still found that the QS values (index of demyelination) increased in the NAWM at follow-up, especially in the NAWM part of the left superior frontal blade (SF), left occipital blade, right uncinate fasciculus, and right corticospinal tract (CST). FW (index of neuroinflammation/edema) analysis revealed that the follow-up group differed from the baseline group in the NAWM part of the right CST and inferior frontal blade (IF). Decreased FA(T) (index of axonal loss) was observed in the NAWM part of the right SF and IF at follow-up. In addition, the FA(T) changes in the NAWM part of the right IF were associated with overall cognitive performance changes. In contrast, no significant differences were found in the WMLs. CONCLUSION: The NAWM was still in the progressive injury process over time, while WMLs remained relatively stable, which supports the notion that SVD is a chronic progressive disease. The process of axonal loss in the NAWM part of the prefrontal lobe might be a biomarker of cognitive changes in the evolution of SVD.
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spelling pubmed-95620462022-10-15 Characterization of white matter over 1–2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping Sun, Yawen Hu, Ying Qiu, Yage Zhang, Yuyao Jiang, Changhao Lu, Peiwen Xu, Qun Shi, Yuting Wei, Hongjiang Zhou, Yan Front Aging Neurosci Aging Neuroscience PURPOSE: The aim of this study was to investigate alterations in white matter lesions (WMLs) and normal-appearing white matter (NAWM) with small vessel disease (SVD) over 1–2 years using quantitative susceptibility mapping (QSM) and free-water (FW) mapping. METHODS: Fifty-one SVD patients underwent MRI brain scans and neuropsychological testing both at baseline and follow-up. The main approach for treating these patients is the management of risk factors. Quantitative susceptibility (QS), fractional anisotropy (FA), mean diffusivity (MD), FW, FW-corrected FA (FA(T)), and FW-corrected MD (MD(T)) maps within WMLs and NAWM were generated. Furthermore, the JHU-ICBM-DTI label atlas was used as an anatomic guide, and the measurements of the segmented NAWMs were calculated. The average regional values were extracted, and a paired t-test was used to analyze the longitudinal change. Partial correlations were used to assess the relationship between the MRI indices changes (e.g., ΔQS(followup − baseline)/QS(baseline)) and the cognitive function changes (e.g., ΔMoCA(followup − baseline)/MoCA(baseline)). RESULTS: After SVD risk factor control, no gradual cognitive decline occurred during 1–2 years. However, we still found that the QS values (index of demyelination) increased in the NAWM at follow-up, especially in the NAWM part of the left superior frontal blade (SF), left occipital blade, right uncinate fasciculus, and right corticospinal tract (CST). FW (index of neuroinflammation/edema) analysis revealed that the follow-up group differed from the baseline group in the NAWM part of the right CST and inferior frontal blade (IF). Decreased FA(T) (index of axonal loss) was observed in the NAWM part of the right SF and IF at follow-up. In addition, the FA(T) changes in the NAWM part of the right IF were associated with overall cognitive performance changes. In contrast, no significant differences were found in the WMLs. CONCLUSION: The NAWM was still in the progressive injury process over time, while WMLs remained relatively stable, which supports the notion that SVD is a chronic progressive disease. The process of axonal loss in the NAWM part of the prefrontal lobe might be a biomarker of cognitive changes in the evolution of SVD. Frontiers Media S.A. 2022-09-30 /pmc/articles/PMC9562046/ /pubmed/36247993 http://dx.doi.org/10.3389/fnagi.2022.998051 Text en Copyright © 2022 Sun, Hu, Qiu, Zhang, Jiang, Lu, Xu, Shi, Wei and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Aging Neuroscience
Sun, Yawen
Hu, Ying
Qiu, Yage
Zhang, Yuyao
Jiang, Changhao
Lu, Peiwen
Xu, Qun
Shi, Yuting
Wei, Hongjiang
Zhou, Yan
Characterization of white matter over 1–2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping
title Characterization of white matter over 1–2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping
title_full Characterization of white matter over 1–2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping
title_fullStr Characterization of white matter over 1–2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping
title_full_unstemmed Characterization of white matter over 1–2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping
title_short Characterization of white matter over 1–2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping
title_sort characterization of white matter over 1–2 years in small vessel disease using mr-based quantitative susceptibility mapping and free-water mapping
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562046/
https://www.ncbi.nlm.nih.gov/pubmed/36247993
http://dx.doi.org/10.3389/fnagi.2022.998051
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