Title: Analysis of Graph Theoretic Properties of Structural and Functional Brain Networks Constructed from fMRI and DTI data. <br/><br/>

Abstract: Modern imaging technologies like functional Magnetic Resonance Imaging, Diffusion Tensor Imaging etc. have made possible the elucidation of structural and functional relationships between brain areas of the scale of a single voxel (a tiny cube of brain tissue). With these relationships, the brain can be visualized as a complex network with voxels as nodes. We aim to utilize data from previous studies to explore the graph theoretic properties of brain networks like small world topology, modularity etc. and correlate these with physical properties like wiring efficiency in the brain.
<br/>
<br/>
References:<br/>
1. Bullmore, Ed and Sporns, Olaf. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009 Mar;10(3):186-98. doi: 10.1038/nrn2575. <br/>
2. Gaolang Gong, Yong He, Luis Concha, Catherine Lebel, Donald W. Gross, Alan C. Evans, and Christian Beaulieu. Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography Cereb. Cortex (2009) 19 (3): 524-536 first published online June 20, 2008 doi:10.1093/cercor/bhn102<br/>
3. Achard S, Bullmore E (2007) Efficiency and Cost of Economical Brain Functional Networks. PLoS Comput Biol 3(2): e17. doi: 10.1371/journal.pcbi.0030017