Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging.

Détails

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Etat: Public
Version: Final published version
ID Serval
serval:BIB_DD7C452BD888
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging.
Périodique
Neurobiology of Aging
Auteur⸱e⸱s
Callaghan M.F., Freund P., Draganski B., Anderson E., Cappelletti M., Chowdhury R., Diedrichsen J., Fitzgerald T.H., Smittenaar P., Helms G., Lutti A., Weiskopf N.
ISSN
1558-1497 (Electronic)
ISSN-L
0197-4580
Statut éditorial
Publié
Date de publication
2014
Volume
35
Numéro
8
Pages
1862-1872
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Résumé
A pressing need exists to disentangle age-related changes from pathologic neurodegeneration. This study aims to characterize the spatial pattern and age-related differences of biologically relevant measures in vivo over the course of normal aging. Quantitative multiparameter maps that provide neuroimaging biomarkers for myelination and iron levels, parameters sensitive to aging, were acquired from 138 healthy volunteers (age range: 19-75 years). Whole-brain voxel-wise analysis revealed a global pattern of age-related degeneration. Significant demyelination occurred principally in the white matter. The observed age-related differences in myelination were anatomically specific. In line with invasive histologic reports, higher age-related differences were seen in the genu of the corpus callosum than the splenium. Iron levels were significantly increased in the basal ganglia, red nucleus, and extensive cortical regions but decreased along the superior occipitofrontal fascicle and optic radiation. This whole-brain pattern of age-associated microstructural differences in the asymptomatic population provides insight into the neurobiology of aging. The results help build a quantitative baseline from which to examine and draw a dividing line between healthy aging and pathologic neurodegeneration.
Pubmed
Web of science
Open Access
Oui
Création de la notice
23/04/2014 20:04
Dernière modification de la notice
20/08/2019 17:02
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