Korbmacher, Max;
de Lange, Ann Marie;
van der Meer, Dennis;
Beck, Dani;
Eikefjord, Eli;
Lundervold, Arvid;
Andreassen, Ole A.;
Westlye, Lars T.;
Maximov, Ivan I.
Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing
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Media type:
E-Article
Title:
Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing
Contributor:
Korbmacher, Max;
de Lange, Ann Marie;
van der Meer, Dennis;
Beck, Dani;
Eikefjord, Eli;
Lundervold, Arvid;
Andreassen, Ole A.;
Westlye, Lars T.;
Maximov, Ivan I.
Published:
Wiley, 2023
Published in:
Human Brain Mapping, 44 (2023) 10, Seite 4101-4119
Language:
English
DOI:
10.1002/hbm.26333
ISSN:
1065-9471;
1097-0193
Origination:
Footnote:
Description:
AbstractUnveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding the ageing brain. In an extensive comparison of brain age predictions and age‐associations of WM features from different diffusion approaches, we analyzed UK Biobank diffusion magnetic resonance imaging (dMRI) data across midlife and older age (N = 35,749, 44.6–82.8 years of age). Conventional and advanced dMRI approaches were consistent in predicting brain age. WM‐age associations indicate a steady microstructure degeneration with increasing age from midlife to older ages. Brain age was estimated best when combining diffusion approaches, showing different aspects of WM contributing to brain age. Fornix was found as the central region for brain age predictions across diffusion approaches in complement to forceps minor as another important region. These regions exhibited a general pattern of positive associations with age for intra axonal water fractions, axial, radial diffusivities, and negative relationships with age for mean diffusivities, fractional anisotropy, kurtosis. We encourage the application of multiple dMRI approaches for detailed insights into WM, and the further investigation of fornix and forceps as potential biomarkers of brain age and ageing.