Connectomics is a recent development in neuroscience that combines diffusion MRI (dMRI) and tractography with the analytical tools of network theory to investigate whole-brain connectivity . Under this paradigm, segmented cortical areas (e.g. Brodmann areas) form the nodes of a network and tractography is used to construct a set of white matters tracts which form the connections of the network. Graph-theoretic measures may then be used to characterize topological patterns of connectivity . Recent studies have demonstrated whole-brain network analysis in healthy volunteers [3,4]. However, whether the connectome approach can consistently reconstruct structural white matter networks and produce robust clinically useful metrics remains an open question. Here we measure the reproducibility of basic graph-theoretic measures obtained from dMRI data using a percentile bootstrap technique. Since these measures are an essential prerequisite for more complex analyses, such as ““small-world”” measures or the identification of network hubs, their reliability is crucial to the whole connectome approach.
|Publication status||Published - May 2012|
|Event||ISMRM 20th Annual Meeting & Exhibition - Melbourne, Australia|
Duration: 5 May 2012 → 11 May 2012
|Conference||ISMRM 20th Annual Meeting & Exhibition|
|Period||5/05/12 → 11/05/12|