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
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 20
- FWCI
- 3.30
- Field percentile
- top 7%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1,184 participants
Kurt G. Schilling, Derek B. Archer, … Bennett A. Landman·bioRxiv·Feb 10, 2022
- Microstructural heterogeneity of white-matter aging and its age-dependent coupling to cognition
Rowena Chin, Xiaoyang Hu, … Hwamee Oh·bioRxiv·Oct 9, 2026
- In search of a unifying theory of white matter aging: improving the understanding of tract-wise degeneration using multi-parametric signatures of morphometry and microstructure
Tyler D. Robinson, Yutong L. Sun, … J. Jean Chen·bioRxiv·Mar 14, 2023
- Changes in regional white matter volumetry and microstructure during the post-adolescence period: a cross-sectional study of a cohort of 1,713 university students
Ami Tsuchida, Alexandre Laurent, … Bernard M. Mazoyer·Frontiers in Systems NeurosciencePeer-reviewed·Aug 3, 2021
- Superagers resist typical age-related white matter structural changes
Marta Garo-Pascual, Linda Zhang, … Bryan Andrew Strange·Journal of NeurosciencePeer-reviewed·Apr 29, 2024
- Age and Sex Effects on Advanced White Matter Microstructure Measures in 15,628 Older Adults: A UK Biobank Study
Katherine E. Lawrence, Leila Nabulsi, … Paul M. Thompson·Brain Imaging and BehaviorPeer-reviewed·Sep 18, 2021