2007
DOI: 10.1016/j.nurt.2007.05.011
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Diffusion Tensor Imaging of the Brain

Abstract: SummaryDiffusion 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, anisotropy and orientation of the diffusion tensor. This paper reviews the biological mechanisms, acquisition and analysis methodology of DTI measurements. The relationships between DTI measures and white matter pathologic features (ischemia, myelination, axonal damage, inflammation, and edema) ar… Show more

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Cited by 2,298 publications
(2,192 citation statements)
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References 114 publications
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“…Therefore, the WM in the left hemisphere, being the substrate for a training‐induced plasticity, may be less affected by the disease (Saini et al., 2012; Scholz, Klein, Behrens, & Johansen‐Berg, 2009; Svatkova et al., 2015). While the contribution of both AD and RD on the MD changes point to the complex nature of WM changes with alterations in water content, myelin or axonal structure(Alexander et al., 2007; Saini et al., 2012), more widespread MD disturbance mostly contributed to RD abnormalities implies an abnormal myelination (Song et al., 2002) in the ET pathology. Similar to prior studies, we did not detect significant changes in FA, while demonstrating differences in diffusivity measures (Saini et al., 2012).…”
Section: Discussionmentioning
confidence: 99%
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“…Therefore, the WM in the left hemisphere, being the substrate for a training‐induced plasticity, may be less affected by the disease (Saini et al., 2012; Scholz, Klein, Behrens, & Johansen‐Berg, 2009; Svatkova et al., 2015). While the contribution of both AD and RD on the MD changes point to the complex nature of WM changes with alterations in water content, myelin or axonal structure(Alexander et al., 2007; Saini et al., 2012), more widespread MD disturbance mostly contributed to RD abnormalities implies an abnormal myelination (Song et al., 2002) in the ET pathology. Similar to prior studies, we did not detect significant changes in FA, while demonstrating differences in diffusivity measures (Saini et al., 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Similar to prior studies, we did not detect significant changes in FA, while demonstrating differences in diffusivity measures (Saini et al., 2012). Although FA represents a very robust WM measurement (Basser & Pierpaoli, 2011), it specifically shows a relative variation between the levels of diffusion measured in different direction (Alexander et al., 2007; Basser & Pierpaoli, 2011). FA may remain relatively stable even if individual diffusivity values undergo relatively large changes.…”
Section: Discussionmentioning
confidence: 99%
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“…Diffusivity (trace) is a measure for the amount of diffusion, which can be divided into an axial diffusivity component (λ , diffusion along the axons) and a radial diffusivity component (λ ⊥ , diffusion perpendicular to the axons). While λ corresponds to the first eigenvalue of the diffusion tensor (λ = λ 1 ), λ ⊥ is calculated by averaging the second and third eigenvalue: λ ⊥ = (λ 2 +λ 3 )/2 (Alexander et al, 2007). While diffusivity indicates the amount of diffusion, FA reflects the directionality of diffusion and is based on the relation between λ and λ ⊥ .…”
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confidence: 99%