4.5 Article

White matter hyperintensities and normal-appearing white matter integrity in the aging brain

期刊

NEUROBIOLOGY OF AGING
卷 36, 期 2, 页码 909-918

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2014.07.048

关键词

Aging; White matter hyperintensities; Normal-appearing white matter; Multimodal MRI

资金

  1. Research into Ageing Programme grant
  2. Age UK funded Disconnected Mind Project
  3. Medical Research Council [G0701120]
  4. Scottish Funding Council through the SINAPSE Collaboration
  5. Row Fogo Charitable Trust
  6. Biotechnology and Biological Sciences Research Council [G0700704/84698]
  7. Engineering and Physical Sciences Research Council
  8. Economic and Social Research Council
  9. Medical Research Council
  10. MRC [G0300117, G1002276, G0701120, G1001245, G0700704] Funding Source: UKRI
  11. Medical Research Council [MR/K026992/1, G0300117, G0701120, G0700704, G1001245, G1002276] Funding Source: researchfish

向作者/读者索取更多资源

White matter hyperintensities (WMH) of presumed vascular origin are a common finding in brain magnetic resonance imaging of older individuals and contribute to cognitive and functional decline. It is unknown how WMH form, although white matter degeneration is characterized pathologically by demyelination, axonal loss, and rarefaction, often attributed to ischemia. Changes within normal-appearing white matter (NAWM) in subjects with WMH have also been reported but have not yet been fully characterized. Here, we describe the in vivo imaging signatures of both NAWM and WMH in a large group of community-dwelling older people of similar age using biomarkers derived from magnetic resonance imaging that collectively reflect white matter integrity, myelination, and brain water content. Fractional anisotropy (FA) and magnetization transfer ratio (MTR) were significantly lower, whereas mean diffusivity (MD) and longitudinal relaxation time (T1) were significantly higher, in WMH than NAWM (p < 0.0001), with MD providing the largest difference between NAWM and WMH. Receiver operating characteristic analysis on each biomarker showed that MD differentiated best between NAWM and WMH, identifying 94.6% of the lesions using a threshold of 0.747 x 10(-9) m(2)s(-1) (area under curve, 0.982; 95% CI, 0.975-0.989). Furthermore, the level of deterioration of NAWM was strongly associated with the severity of WMH, with MD and T1 increasing and FA and MTR decreasing in NAWM with increasing WMH score, a relationship that was sustained regardless of distance from the WMH. These multimodal imaging data indicate that WMH have reduced structural integrity compared with surrounding NAWM, and MD provides the best discriminator between the 2 tissue classes even within the mild range of WMH severity, whereas FA, MTR, and T1 only start reflecting significant changes in tissue microstructure as WMH become more severe. (C) 2015 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).

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