Combining voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes

被引:46
作者
Lehmbeck, JT [1 ]
Brassen, S [1 ]
Weber-Fahr, W [1 ]
Braus, DF [1 ]
机构
[1] Univ Med Ctr Hamburg Eppendorf, Neuroimage Nord, D-20246 Hamburg, Germany
关键词
age; diffusion tensor imaging; healthy aging; magnetic resonance imaging; voxel-based morphometry;
D O I
10.1097/01.wnr.0000209012.24341.7f
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The present study combined optimized voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes. We compared grey matter density maps (grey matter voxel-based morphometry) and white matter fractional anisotropy maps (diffusion tensor imaging-voxel-based morphometry) between two groups of 17 younger and 17 older women. Older women exhibited reduced white matter fractional anisotropy as well as decreased grey matter density most prominently in the frontal, limbic, parietal and temporal lobes. A discriminant analysis identified four frontal and limbic grey and white matter areas that separated the two groups most effectively. We conclude that grey matter voxel-based morphometry and diffusion tensor imaging voxel-based morphometry are well suited for the detection of age-related changes and their combination provides high accuracy when detecting the neural correlates of aging. NeuroReport 17:467-470 (c) 2006 Lippincott Williams & Wilkins.
引用
收藏
页码:467 / 470
页数:4
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