کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6806014 | 1433568 | 2014 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Non-Gaussian water diffusion in aging white matter
ترجمه فارسی عنوان
انتشار غیر غایی گاز در ماده سفید پوست
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کلمات کلیدی
Region-of-interest analysisK-means clustering - K به معنی خوشه بندی استtract-based spatial statistics - آمار مکانی مبتنی بر تراکمMRI - امآرآی یا تصویرسازی تشدید مغناطیسیMultivariate analysis - تحلیل چندمتغیرهdiffusion tensor imaging - تصویربرداری تانسور انتشارDiffusional kurtosis imaging - تصویربرداری کتوزی دیافیزیکیAging - سالخوردگیWhite matter integrity - یکپارچگی ماده سفید
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
سالمندی
چکیده انگلیسی
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 91Â 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurobiology of Aging - Volume 35, Issue 6, June 2014, Pages 1412-1421
Journal: Neurobiology of Aging - Volume 35, Issue 6, June 2014, Pages 1412-1421
نویسندگان
Jean-Philippe Coutu, J. Jean Chen, H. Diana Rosas, David H. Salat,