Coutu Jean-Philippe, Chen J Jean, Rosas H Diana, Salat David H
MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Neurobiol Aging. 2014 Jun;35(6):1412-21. doi: 10.1016/j.neurobiolaging.2013.12.001. Epub 2013 Dec 4.
Age-associated white matter degeneration has been well documented and is likely an important mechanism contributing to cognitive decline in older adults. Recent work has explored a range of noninvasive neuroimaging procedures to differentially highlight alterations in the tissue microenvironment. Diffusional kurtosis imaging (DKI) is an extension of diffusion tensor imaging (DTI) that accounts for non-Gaussian water diffusion and can reflect alterations in the distribution and diffusion properties of tissue compartments. We used DKI to produce whole-brain voxel-based maps of mean, axial, and radial diffusional kurtoses, quantitative indices of the tissue microstructure's diffusional heterogeneity, in 111 participants ranging from the age of 33 to 91 years. As suggested from prior DTI studies, greater age was associated with alterations in white-matter tissue microstructure, which was reflected by a reduction in all 3 DKI metrics. Prominent effects were found in prefrontal and association white matter compared with relatively preserved primary motor and visual areas. Although DKI metrics co-varied with DTI metrics on a global level, DKI provided unique regional sensitivity to the effects of age not available with DTI. DKI metrics were additionally useful in combination with DTI metrics for the classification of regions according to their multivariate "diffusion footprint", or pattern of relative age effect sizes. It is possible that the specific multivariate patterns of age-associated changes measured are representative of different types of microstructural pathology. These results suggest that DKI provides important complementary indices of brain microstructure for the study of brain aging and neurologic disease.
年龄相关的白质退变已有充分记录,并且可能是导致老年人认知衰退的一个重要机制。最近的研究探索了一系列非侵入性神经成像程序,以不同方式突出组织微环境的改变。扩散峰度成像(DKI)是扩散张量成像(DTI)的扩展,它考虑了非高斯水分子扩散,并能反映组织成分的分布和扩散特性的改变。我们使用DKI对111名年龄在33岁至91岁之间的参与者生成了基于全脑体素的平均、轴向和径向扩散峰度图,这些图是组织微观结构扩散异质性的定量指标。正如先前DTI研究所示,年龄越大与白质组织微观结构的改变相关,这在所有3个DKI指标的降低中得到体现。与相对保留的初级运动和视觉区域相比,前额叶和联合白质中发现了显著影响。虽然DKI指标在整体水平上与DTI指标共同变化,但DKI对年龄影响提供了DTI所没有的独特区域敏感性。DKI指标在与DTI指标结合时,对于根据其多变量“扩散足迹”或相对年龄效应大小模式对区域进行分类也很有用。所测量的年龄相关变化的特定多变量模式可能代表不同类型的微观结构病理学。这些结果表明,DKI为脑老化和神经疾病的研究提供了重要的脑微观结构补充指标。