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Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
by
Risacher, Shannon L.
, Pechman, Kimberly R.
, Jasodanand, Varuna
, Landman, Bennett A.
, Archer, Derek B.
, Jefferson, Angela L.
, Bilgel, Murat
, Hohman, Timothy J.
, Saykin, Andrew J.
, Resnick, Susan M.
, Schilling, Kurt
, Shashikumar, Niranjana
, Gifford, Katherine A.
, An, Yang
, Shafer, Andrea
, Moore, Elizabeth E.
, Beason‐Held, Lori L.
, Ferrucci, Luigi
in
Aging
/ Alzheimer's disease
/ Apolipoproteins
/ Cognitive ability
/ Data collection
/ Dementia
/ diffusion MRI
/ free‐water
/ harmonization
/ Longitudinal studies
/ Magnetic resonance imaging
/ Medical imaging
/ Memory
/ Neuroimaging
/ white matter
2023
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Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
by
Risacher, Shannon L.
, Pechman, Kimberly R.
, Jasodanand, Varuna
, Landman, Bennett A.
, Archer, Derek B.
, Jefferson, Angela L.
, Bilgel, Murat
, Hohman, Timothy J.
, Saykin, Andrew J.
, Resnick, Susan M.
, Schilling, Kurt
, Shashikumar, Niranjana
, Gifford, Katherine A.
, An, Yang
, Shafer, Andrea
, Moore, Elizabeth E.
, Beason‐Held, Lori L.
, Ferrucci, Luigi
in
Aging
/ Alzheimer's disease
/ Apolipoproteins
/ Cognitive ability
/ Data collection
/ Dementia
/ diffusion MRI
/ free‐water
/ harmonization
/ Longitudinal studies
/ Magnetic resonance imaging
/ Medical imaging
/ Memory
/ Neuroimaging
/ white matter
2023
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Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
by
Risacher, Shannon L.
, Pechman, Kimberly R.
, Jasodanand, Varuna
, Landman, Bennett A.
, Archer, Derek B.
, Jefferson, Angela L.
, Bilgel, Murat
, Hohman, Timothy J.
, Saykin, Andrew J.
, Resnick, Susan M.
, Schilling, Kurt
, Shashikumar, Niranjana
, Gifford, Katherine A.
, An, Yang
, Shafer, Andrea
, Moore, Elizabeth E.
, Beason‐Held, Lori L.
, Ferrucci, Luigi
in
Aging
/ Alzheimer's disease
/ Apolipoproteins
/ Cognitive ability
/ Data collection
/ Dementia
/ diffusion MRI
/ free‐water
/ harmonization
/ Longitudinal studies
/ Magnetic resonance imaging
/ Medical imaging
/ Memory
/ Neuroimaging
/ white matter
2023
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Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
Journal Article
Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
2023
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Overview
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.
Publisher
John Wiley & Sons, Inc,John Wiley and Sons Inc,Wiley
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