Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants.
Aging
Diffusion MRI
Tractography
Volume
White matter
Journal
Brain structure & function
ISSN: 1863-2661
Titre abrégé: Brain Struct Funct
Pays: Germany
ID NLM: 101282001
Informations de publication
Date de publication:
Jul 2022
Jul 2022
Historique:
received:
24
01
2022
accepted:
22
04
2022
pubmed:
24
5
2022
medline:
29
6
2022
entrez:
23
5
2022
Statut:
ppublish
Résumé
Quantifying the microstructural and macrostructural geometrical features of the human brain's connections is necessary for understanding normal aging and disease. Here, we examine brain white matter diffusion magnetic resonance imaging data from one cross-sectional and two longitudinal data sets totaling in 1218 subjects and 2459 sessions of people aged 50-97 years. Data was drawn from well-established cohorts, including the Baltimore Longitudinal Study of Aging data set, Cambridge Centre for Ageing Neuroscience data set, and the Vanderbilt Memory & Aging Project. Quantifying 4 microstructural features and, for the first time, 11 macrostructure-based features of volume, area, and length across 120 white matter pathways, we apply linear mixed effect modeling to investigate changes in pathway-specific features over time, and document large age associations within white matter. Conventional diffusion tensor microstructure indices are the most age-sensitive measures, with positive age associations for diffusivities and negative age associations with anisotropies, with similar patterns observed across all pathways. Similarly, pathway shape measures also change with age, with negative age associations for most length, surface area, and volume-based features. A particularly novel finding of this study is that while trends were homogeneous throughout the brain for microstructure features, macrostructural features demonstrated heterogeneity across pathways, whereby several projection, thalamic, and commissural tracts exhibited more decline with age compared to association and limbic tracts. The findings from this large-scale study provide a comprehensive overview of the age-related decline in white matter and demonstrate that macrostructural features may be more sensitive to heterogeneous white matter decline. Therefore, leveraging macrostructural features may be useful for studying aging and could facilitate comparisons in a variety of diseases or abnormal conditions.
Identifiants
pubmed: 35604444
doi: 10.1007/s00429-022-02503-z
pii: 10.1007/s00429-022-02503-z
pmc: PMC9648053
mid: NIHMS1844823
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
2111-2125Subventions
Organisme : NCRR NIH HHS
ID : UL1 RR024975
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG034962
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG073584
Pays : United States
Organisme : NIA NIH HHS
ID : L30 AG060964
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB017230
Pays : United States
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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