Sparse Dictionary Learning of Resting State fMRI Networks

@article{Eavani2012SparseDL,
  title={Sparse Dictionary Learning of Resting State fMRI Networks},
  author={Harini Eavani and Roman Filipovych and Christos Davatzikos and Theodore D. Satterthwaite and Raquel E. Gur and Ruben C. Gur},
  journal={2012 Second International Workshop on Pattern Recognition in NeuroImaging},
  year={2012},
  pages={73-76}
}
Research in resting state fMRI (rsfMRI) has revealed the presence of stable, anti-correlated functional sub-networks in the brain. Task-positive networks are active during a cognitive process and are anti-correlated with task-negative networks, which are active during rest. In this paper, based on the assumption that the structure of the resting state functional brain connectivity is sparse, we utilize sparse dictionary modeling to identify distinct functional sub-networks. We propose two ways… CONTINUE READING

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