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NeuroscienceAlzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
Peer-reviewed journal article

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

Derek B. ArcheriD, Kurt G. SchillingiD, Niranjana ShashikumariD, Varuna H. JasodanandiD, Elizabeth E. Moore, Kimberly R. PechmaniD, Murat BilgeliD, Lori L. Beason‐HeldiD, Yang AniD, Andrea T. ShaferiD, Luigi FerrucciiD, Shannon L. RisacheriD, Katherine A. GiffordiD, Bennett A. LandmaniD, Angela Lee JeffersoniD, Andrew J. SaykiniD, Susan M. ResnickiD, Timothy J. HohmaniD, Alzheimer’s Disease Neuroimaging Initiative

Abstract

AbstractO_ST_ABSINTRODUCTIONC_ST_ABSIt 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 [Alzheimers Neuroimaging Initiative (ADNI), Baltimore Longitudinal Study of Aging (BLSA), Vanderbilt Memory & Aging Project (VMAP)] was free-water corrected and harmonized. This dataset included 1,723 participants (age at baseline: 72.8{+/-}8.87 years, 49.5% male) and 4,605 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 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. HIGHLIGHTSO_LILongitudinal data was free-water corrected and harmonized C_LIO_LIGlobal effects of white matter decline were seen in normal and abnormal aging C_LIO_LIThe free-water metric was most vulnerable to abnormal aging C_LIO_LICingulum free-water was the most vulnerable to abnormal aging C_LI

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