期刊
NEUROTHERAPEUTICS
卷 4, 期 3, 页码 316-329出版社
SPRINGER
DOI: 10.1016/j.nurt.2007.05.011
关键词
diffusion tensor imaging; white matter; diffusivity; MRI; brain; fractional anisotropy
资金
- NICHD NIH HHS [HD35476] Funding Source: Medline
- NIDA NIH HHS [R21 DA015879, R21 DA015879-03] Funding Source: Medline
- NIMH NIH HHS [R01 MH062015-08, MH62015, P50 MH069315, P50 MH069315-049002, R01 MH062015] Funding Source: Medline
- NINDS NIH HHS [NS050466] Funding Source: Medline
Diffusion tensor imaging (DTI) is a promising method for characterizing microstructural changes or differences with neuropathology and treatment. The diffusion tensor may be used to characterize the magnitude, the degree of anisotropy, and the orientation of directional diffusion. This review addresses the biological mechanisms, acquisition, and analysis of DTI measurements. The relationships between DTI measures and white matter pathologic features (e.g., ischemia, myelination, axonal damage, inflammation, and edema) are summarized. Applications of DTI to tissue characterization in neurotherapeutic applications are reviewed. The interpretations of common DTI measures (mean diffusivity, MD; fractional anisotropy, FA; radial diffusivity, D-r; and axial diffusivity, D-a) are discussed. In particular, FA is highly sensitive to microstructural changes, but not very specific to the type of changes (e.g., radial or axial). To maximize the specificity and better characterize the tissue microstructure, future studies should use multiple diffusion tensor measures (e.g., MID and FA, or D-a and D-r).
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