4.5 Article

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

期刊

NEUROBIOLOGY OF AGING
卷 35, 期 8, 页码 1862-1872

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2014.02.008

关键词

VBQ; Aging; R1; T1; MT; R2*; T2*; Relaxation; Magnetization transfer; Quantitative; 3T; Water content

资金

  1. Swiss National Science Foundation [320030_ 135679, SPUM 33CM30_ 140332/1]
  2. NCCR Synapsy [Bogdan Draganski]
  3. Foundation Parkinson Switzerland
  4. Foundation Synapsis
  5. Novartis Foundation for medical-biological research
  6. Deutsche Forschungsgemeinschaft [Kfo 247]
  7. Royal Society Dorothy Hodgkin Fellowship
  8. core funding from the Wellcome Trust [091593/Z/10/Z]
  9. Swiss National Science Foundation (SNF) [320030_135679] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

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. (C) 2014 The Authors. Published by Elsevier Inc. All rights reserved.

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