Quantifying the Intra- And Inter-Subject Variability of Whole-Brain Structural Networks from Diffusion MRI

Keywords

adjacency affine analytical anatomical appropriate assuming automated basic better bootstrap brain broadly characteristic clinical clustering coefficient commonly complex components computed confidence connecting connection connections connectivity considering consistent consistently constructed correct corrected cortical coverage days degree denotes derived despite determined development diffusion direct earlier eddy either electric enables example exceeding extra family flirt fluid form general global graph greater healthy highly individuals inform initiated integration inter interval intervals investigate kingdom larger length linear links little matrix measure measures metrics neighbors network networks node nodes normalized occasions open others pairs path patient patterns percentile population populations prerequisite probabilistic probability processing produce property protocol quantifying rather recent reconstruct recording registered reliable repeat resolution scanner school segmentation separate sessions seven shot since space spin steps stopping straightforward strength structural studies subject subjects suggests supplemented table terminated theoretic though thresholding topological tracts understanding underwent variants variation varies volume volumes volunteers white whole wiring wise word world