Skilled reading requires mapping of visual text to sound and meaning. Because reading
relies on neural systems spread across the brain, a full understanding of this cognitive ability …

Integration of the neural processes in the human brain is realized through interconnections
that exist between different neural centers. These interconnections take place through white …

Diffusion-weighted MRI (DW-MRI) has been increasingly used in imaging neuroscience
over the last decade. An early form of this technique, diffusion tensor imaging (DTI) was …

To estimate diffusion tensor MRI (DTI) measures, such as fractional anisotropy and fiber
orientation, reliably, a large number of diffusion‐encoded images is needed, preferably …

This article presents the potential problems arising from the use of “axial” and “radial”
diffusivities, derived from the eigenvalues of the diffusion tensor, and their interpretation in …

In diffusion MRI, simultaneous multi-slice single-shot EPI acquisitions have the potential to
increase the number of diffusion directions obtained per unit time, allowing more diffusion …

New diffusion‐weighted imaging (DWI) methods, including high‐b, q‐space, and high
angular resolution MRI methods, attempt to extract information about non‐Gaussian …

Constrained spherical deconvolution (CSD) is a new technique that, based on high‐angular
resolution diffusion imaging (HARDI) MR data, estimates the orientation of multiple …

Voxel-based morphometry (VBM) has been used to analyze diffusion tensor MRI (DT-MRI)
data in a number of studies. In VBM, following spatial normalization, data are smoothed to …

The tensors produced by diffusion tensor magnetic resonance imaging (DT-MRI) represent
the covariance in a Brownian motion model of water diffusion. Under this physical …