Skip to main content
. Author manuscript; available in PMC: 2022 May 10.
Published in final edited form as: Magn Reson Med. 2021 Jul 16;86(6):3304–3320. doi: 10.1002/mrm.28926

FIGURE 3.

FIGURE 3

Outline of processing and measurements investigated presently in four common diffusion MRI analysis approaches. A,B, We quantify variability in the tensor-based fractional anisotropy (FA), mean diffusivity (MD), and principal eigenvector (V1) measurements and neurite orientation dispersion and density imaging (NODDI)-based CSF volume fraction (cVF), intracellular volume fraction (iVF), and orientation dispersion index (ODI) measurements in Montreal Neurological Institute (MNI) space in 48 Johns Hopkins white matter atlas regions. C, We quantify variability in bundle shape, volume, FA, and length for 43 white matter bundles (Supporting Information Table S1) identified with the RecoBundles segmentation method. D, We quantify variability in whole-brain structural connectomes and the maximum modularity (MM), global efficiency (GE), and characteristic path length (CPL) scalar graph measures.