NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity
Abstract
In Diffusion Weighted MR Imaging (DWI), the signal is affected by the biophysical properties of neuronal cells and their relative placement, as well as extra-cellular tissue compartments. Typically, microstructural indices, such as fractional anisotropy (FA) and mean diffusivity (MD), are based on a tensor model that cannot disentangle the influence of these parameters. Recently, Neurite Orientation Dispersion and Density Imaging (NODDI) has...
Paper Details
Title
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity
Published Date
Apr 14, 2016
Journal
Volume
11
Issue
4
Pages
e0153404 - e0153404
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