NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity

Volume: 11, Issue: 4, Pages: e0153404 - e0153404
Published: Apr 14, 2016
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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