Converging patterns of aging-associated brain volume loss and tissue microstructure differences.

Détails

ID Serval
serval:BIB_411C556B69C2
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Converging patterns of aging-associated brain volume loss and tissue microstructure differences.
Périodique
Neurobiology of aging
Auteur(s)
Taubert M., Roggenhofer E., Melie-Garcia L., Muller S., Lehmann N., Preisig M., Vollenweider P., Marques-Vidal P., Lutti A., Kherif F., Draganski B.
ISSN
1558-1497 (Electronic)
ISSN-L
0197-4580
Statut éditorial
Publié
Date de publication
04/2020
Peer-reviewed
Oui
Volume
88
Pages
108-118
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Given the worldwide increasing socioeconomic burden of aging-associated brain diseases, there is pressing need to gain in-depth knowledge about the neurobiology of brain anatomy changes across the life span. Advances in quantitative magnetic resonance imaging sensitive to brain's myelin, iron, and free water content allow for a detailed in vivo investigation of aging-related changes while reducing spurious morphometry differences. Main aim of our study is to link previous morphometry findings in aging to microstructural tissue properties in a large-scale cohort (n = 966, age range 46-86 y). Addressing previous controversies in the field, we present results obtained with different approaches to adjust local findings for global effects. Beyond the confirmation of age-related atrophy, myelin, and free water decreases, we report proportionally steeper volume, iron, and myelin decline in sensorimotor and subcortical areas paralleled by free water increase. We demonstrate aging-related white matter volume, myelin, and iron loss in frontostriatal projections. Our findings provide robust evidence for spatial overlap between volume and tissue property differences in aging that affect predominantly motor and executive networks.
Mots-clé
Brain, Healthy cognitive ageing, Iron, Magnetic resonance imaging, Myelin, Voxel-based quantification
Pubmed
Web of science
Création de la notice
17/02/2020 16:31
Dernière modification de la notice
29/09/2020 6:25
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