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

Author:

Archer Derek B.12,Schilling Kurt34,Shashikumar Niranjana1,Jasodanand Varuna1,Moore Elizabeth E.1,Pechman Kimberly R.1,Bilgel Murat5,Beason‐Held Lori L.5,An Yang5,Shafer Andrea5,Ferrucci Luigi6,Risacher Shannon L.78,Gifford Katherine A.1,Landman Bennett A.34910,Jefferson Angela L.111,Saykin Andrew J.78,Resnick Susan M.5,Hohman Timothy J.12,

Affiliation:

1. Vanderbilt Memory and Alzheimer's Center Vanderbilt University School of Medicine Nashville Tennessee USA

2. Vanderbilt Genetics Institute Vanderbilt University Medical Center Nashville Tennessee USA

3. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville Tennessee USA

4. Department of Radiology & Radiological Sciences Vanderbilt University Medical Center Nashville Tennessee USA

5. Laboratory of Behavioral Neuroscience National Institute on Aging National Institutes of Health Baltimore Maryland USA

6. Longitudinal Studies Section, Translational Gerontology Branch National Institute on Aging Baltimore MD USA

7. Indiana University School of Medicine Indianapolis Indiana USA

8. Indiana Alzheimer's Disease Research Center Indianapolis Indiana USA

9. Department of Biomedical Engineering Vanderbilt University Nashville Tennessee USA

10. Department of Electrical and Computer Engineering Vanderbilt University Nashville Tennessee USA

11. Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

Abstract

AbstractIntroductionIt is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging.MethodsDiffusion 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.ResultsWhile 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.ConclusionsThere 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.

Funder

National Institute on Aging

National Center for Advancing Translational Sciences

National Institute of Biomedical Imaging and Bioengineering

U.S. Department of Defense

Alzheimer's Association

Publisher

Wiley

Subject

Psychiatry and Mental health,Neurology (clinical)

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