Most biophysical models of diffusion in the white matter assume that the diffusion MRI signal can be written as the convolution of a single fibre orientation distribution function and a single microstructural kernel, thereby ignoring microstructural differences between fascicles being captured in the same voxel. Here, we validate this assumption by various model selection approaches, i.e., Relative variance explained, F-test of 1- and 2-component models, and Component noise likelihood, and conclude that biologically more realistic, but mathematically more complex versions of the Diffusion Standard Model do not significantly improve the goodness-of-fit, even in case of rich diffusion MR data.
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