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


Journal

Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437

Informations de publication

Date de publication:
04 2020
Historique:
received: 21 06 2019
revised: 08 01 2020
accepted: 13 01 2020
pubmed: 10 2 2020
medline: 24 9 2020
entrez: 10 2 2020
Statut: 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.

Identifiants

pubmed: 32035845
pii: S0197-4580(20)30014-2
doi: 10.1016/j.neurobiolaging.2020.01.006
pii:
doi:

Substances chimiques

Iron E1UOL152H7

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

108-118

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Marco Taubert (M)

Chair for Training Science, Cognition and Action, Faculty of Humanities, Otto-von-Guericke University, Magdeburg, Germany; Center for Behavioural and Brain Sciences - CBBS, Magdeburg, Germany; Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Elisabeth Roggenhofer (E)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Lester Melie-Garcia (L)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Sandrine Muller (S)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Nico Lehmann (N)

Chair for Training Science, Cognition and Action, Faculty of Humanities, Otto-von-Guericke University, Magdeburg, Germany.

Martin Preisig (M)

Center for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Peter Vollenweider (P)

Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Pedro Marques-Vidal (P)

Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Antoine Lutti (A)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Ferath Kherif (F)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Bogdan Draganski (B)

Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Electronic address: bogdan.draganski@chuv.ch.

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Classifications MeSH