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Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging

INTRODUCTION: It is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging. METHODS: Diffusion MRI data from several well‐established longitudinal cohorts of aging (Alzheimer's Disease Neuroimaging Initiative [ADNI], Baltimore Longitudinal Study...

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Autores principales: Archer, Derek B., Schilling, Kurt, Shashikumar, Niranjana, Jasodanand, Varuna, Moore, Elizabeth E., Pechman, Kimberly R., Bilgel, Murat, Beason‐Held, Lori L., An, Yang, Shafer, Andrea, Ferrucci, Luigi, Risacher, Shannon L., Gifford, Katherine A., Landman, Bennett A., Jefferson, Angela L., Saykin, Andrew J., Resnick, Susan M., Hohman, Timothy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540270/
https://www.ncbi.nlm.nih.gov/pubmed/37780863
http://dx.doi.org/10.1002/dad2.12468
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author Archer, Derek B.
Schilling, Kurt
Shashikumar, Niranjana
Jasodanand, Varuna
Moore, Elizabeth E.
Pechman, Kimberly R.
Bilgel, Murat
Beason‐Held, Lori L.
An, Yang
Shafer, Andrea
Ferrucci, Luigi
Risacher, Shannon L.
Gifford, Katherine A.
Landman, Bennett A.
Jefferson, Angela L.
Saykin, Andrew J.
Resnick, Susan M.
Hohman, Timothy J.
author_facet Archer, Derek B.
Schilling, Kurt
Shashikumar, Niranjana
Jasodanand, Varuna
Moore, Elizabeth E.
Pechman, Kimberly R.
Bilgel, Murat
Beason‐Held, Lori L.
An, Yang
Shafer, Andrea
Ferrucci, Luigi
Risacher, Shannon L.
Gifford, Katherine A.
Landman, Bennett A.
Jefferson, Angela L.
Saykin, Andrew J.
Resnick, Susan M.
Hohman, Timothy J.
author_sort Archer, Derek B.
collection PubMed
description INTRODUCTION: It is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging. METHODS: Diffusion MRI data from several well‐established longitudinal cohorts of aging (Alzheimer's Disease Neuroimaging Initiative [ADNI], Baltimore Longitudinal Study of Aging [BLSA], Vanderbilt Memory & Aging Project [VMAP]) were free‐water corrected and harmonized. This dataset included 1723 participants (age at baseline: 72.8 ± 8.87 years, 49.5% male) and 4605 imaging sessions (follow‐up time: 2.97 ± 2.09 years, follow‐up range: 1–13 years, mean number of visits: 4.42 ± 1.98). Differences in white matter microstructural decline in normal and abnormal agers was assessed. RESULTS: While we found a global decline in white matter in normal/abnormal aging, we found that several white matter tracts (e.g., cingulum bundle) were vulnerable to abnormal aging. CONCLUSIONS: There is a prevalent role of white matter microstructural decline in aging, and future large‐scale studies in this area may further refine our understanding of the underlying neurodegenerative processes. HIGHLIGHTS: Longitudinal data were free‐water corrected and harmonized. Global effects of white matter decline were seen in normal and abnormal aging. The free‐water metric was most vulnerable to abnormal aging. Cingulum free‐water was the most vulnerable to abnormal aging.
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spelling pubmed-105402702023-09-30 Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging Archer, Derek B. Schilling, Kurt Shashikumar, Niranjana Jasodanand, Varuna Moore, Elizabeth E. Pechman, Kimberly R. Bilgel, Murat Beason‐Held, Lori L. An, Yang Shafer, Andrea Ferrucci, Luigi Risacher, Shannon L. Gifford, Katherine A. Landman, Bennett A. Jefferson, Angela L. Saykin, Andrew J. Resnick, Susan M. Hohman, Timothy J. Alzheimers Dement (Amst) Research Articles INTRODUCTION: It is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging. METHODS: Diffusion MRI data from several well‐established longitudinal cohorts of aging (Alzheimer's Disease Neuroimaging Initiative [ADNI], Baltimore Longitudinal Study of Aging [BLSA], Vanderbilt Memory & Aging Project [VMAP]) were free‐water corrected and harmonized. This dataset included 1723 participants (age at baseline: 72.8 ± 8.87 years, 49.5% male) and 4605 imaging sessions (follow‐up time: 2.97 ± 2.09 years, follow‐up range: 1–13 years, mean number of visits: 4.42 ± 1.98). Differences in white matter microstructural decline in normal and abnormal agers was assessed. RESULTS: While we found a global decline in white matter in normal/abnormal aging, we found that several white matter tracts (e.g., cingulum bundle) were vulnerable to abnormal aging. CONCLUSIONS: There is a prevalent role of white matter microstructural decline in aging, and future large‐scale studies in this area may further refine our understanding of the underlying neurodegenerative processes. HIGHLIGHTS: Longitudinal data were free‐water corrected and harmonized. Global effects of white matter decline were seen in normal and abnormal aging. The free‐water metric was most vulnerable to abnormal aging. Cingulum free‐water was the most vulnerable to abnormal aging. John Wiley and Sons Inc. 2023-09-29 /pmc/articles/PMC10540270/ /pubmed/37780863 http://dx.doi.org/10.1002/dad2.12468 Text en © 2023 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals LLC on behalf of Alzheimer's Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Archer, Derek B.
Schilling, Kurt
Shashikumar, Niranjana
Jasodanand, Varuna
Moore, Elizabeth E.
Pechman, Kimberly R.
Bilgel, Murat
Beason‐Held, Lori L.
An, Yang
Shafer, Andrea
Ferrucci, Luigi
Risacher, Shannon L.
Gifford, Katherine A.
Landman, Bennett A.
Jefferson, Angela L.
Saykin, Andrew J.
Resnick, Susan M.
Hohman, Timothy J.
Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
title Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
title_full Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
title_fullStr Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
title_full_unstemmed Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
title_short Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
title_sort leveraging longitudinal diffusion mri data to quantify differences in white matter microstructural decline in normal and abnormal aging
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540270/
https://www.ncbi.nlm.nih.gov/pubmed/37780863
http://dx.doi.org/10.1002/dad2.12468
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