Corpus ID: 16266306

Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes

@article{Jin2016ScalableAF,
  title={Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes},
  author={Yu Jin and Joseph J{\'a}J{\'a} and Rong Chen and Edward Herskovits},
  journal={ArXiv},
  year={2016},
  volume={abs/1609.03893}
}
  • Yu Jin, Joseph JáJá, +1 author Edward Herskovits
  • Published in ArXiv 2016
  • Computer Science, Biology, Mathematics
  • Diffusion Magnetic Resonance Imaging (MRI) exploits the anisotropic diffusion of water molecules in the brain to enable the estimation of the brain's anatomical fiber tracts at a relatively high resolution. In particular, tractographic methods can be used to generate whole-brain anatomical connectivity matrix where each element provides an estimate of the connectivity strength between the corresponding voxels. Structural brain networks are built using the connectivity information and a… CONTINUE READING

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