Estimating the interregional structural connections of the brain via diffusion tractography is a
complex procedure and the parameters chosen can affect the outcome of the connectivity …

Tractography based on diffusion MRI offers the promise of characterizing many aspects of
long-distance connectivity in the brain, but requires quantitative validation to assess its …

Brain connectivity investigations are becoming increasingly multimodal and they present
challenges for quantitatively characterizing and interactively visualizing data. In this study …

Anatomical connectivity mapping (ACM) is a measure of anatomical connectivity obtained by
initiating streamline diffusion tractography from all parenchymal voxels and then counting …

Researchers working in the field of global connectivity analysis using diffusion magnetic
resonance imaging (MRI) can count on a wide selection of software packages for processing …

Diffusion MRI streamlines tractography has become a major technique for inferring structural
networks through reconstruction of brain connectome. However, quantification of structural …

The spatial topological properties of cortical regions vary across individuals. Connectivity-
based functional and anatomical cortical mapping in individuals will facilitate research on …

The ability to map brain networks in living individuals is fundamental in efforts to chart the
relation between human behavior, health and disease. Advances in network neuroscience …

Regional heterogeneity in cortical cyto-and myeloarchitecture forms the structural basis of
mapping of cortical areas in the human brain. In this study, we investigate the potential of …

Advanced neuroinformatics tools are required for methods of connectome mapping,
analysis, and visualization. The inherent multi-modality of connectome datasets poses new …