4D weekly average maps from the dHCP study: i) average T2w; ii) average T2w/T1w signal ratio; iii) average neurite density index [from NODDI]; iv) average free water map [from NODDI].
NMF results – NeWMaPs from the dHCP study across multiple resolutions (ranging from 2-20 NMFs).
Background Gray matter-based spatial statistics (NODDI-GBSS) is a pipeline to perform voxel-wise statistical analysis on gray matter microstructure. Our method is based on GBSS method primarily introduced by Ball et. al1 and discribed elswhere in full details2,3. Unlike the original GBSS method, NODDI-GBSS only uses multi-shell diffusion-weighted images for tissue segmentation and registration2,3. NODDI-GBSS requires NODDI (http://mig.cs.ucl.ac.uk/index.php?n=Tutorial.NODDImatlab) and DTI images and depends on FSL (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/) and ANTs (http://stnava.github.io/ANTs/).
