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

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Serval ID
serval:BIB_DD7C452BD888
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging.
Journal
Neurobiology of Aging
Author(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
Publication state
Published
Issued date
2014
Volume
35
Number
8
Pages
1862-1872
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Abstract
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
Yes
Create date
23/04/2014 20:04
Last modification date
20/08/2019 17:02
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