Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
dc.contributor.author | Archer, Derek B. | |
dc.contributor.author | Schilling, Kurt | |
dc.contributor.author | Shashikumar, Niranjana | |
dc.contributor.author | Jasodanand, Varuna | |
dc.contributor.author | Moore, Elizabeth E. | |
dc.contributor.author | Pechman, Kimberly R. | |
dc.contributor.author | Bilgel, Murat | |
dc.contributor.author | Beason-Held, Lori L. | |
dc.contributor.author | An, Yang | |
dc.contributor.author | Shafer, Andrea | |
dc.contributor.author | Ferrucci, Luigi | |
dc.contributor.author | Risacher, Shannon L. | |
dc.contributor.author | Gifford, Katherine A. | |
dc.contributor.author | Landman, Bennett A. | |
dc.contributor.author | Jefferson, Angela L. | |
dc.contributor.author | Saykin, Andrew J. | |
dc.contributor.author | Resnick, Susan M. | |
dc.contributor.author | Hohman, Timothy J. | |
dc.contributor.author | Alzheimer’s Disease Neuroimaging Initiative | |
dc.contributor.department | Radiology and Imaging Sciences, School of Medicine | |
dc.date.accessioned | 2024-01-25T11:21:38Z | |
dc.date.available | 2024-01-25T11:21:38Z | |
dc.date.issued | 2023-05-18 | |
dc.description.abstract | 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 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. Results: While 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. 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 was free-water corrected and harmonizedGlobal effects of white matter decline were seen in normal and abnormal agingThe free-water metric was most vulnerable to abnormal agingCingulum free-water was the most vulnerable to abnormal aging. | |
dc.eprint.version | Pre-Print | |
dc.identifier.citation | Archer DB, Schilling K, Shashikumar N, et al. Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging. Preprint. bioRxiv. 2023;2023.05.17.541182. Published 2023 May 18. doi:10.1101/2023.05.17.541182 | |
dc.identifier.uri | https://hdl.handle.net/1805/38182 | |
dc.language.iso | en_US | |
dc.publisher | bioRxiv | |
dc.relation.isversionof | 10.1101/2023.05.17.541182 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | PMC | |
dc.subject | White matter | |
dc.subject | Diffusion MRI | |
dc.subject | Harmonization | |
dc.subject | Free-water | |
dc.subject | Aging | |
dc.title | Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging | |
dc.type | Article |