Detecting overlapped functional clusters in resting state fMRI with Connected Iterative Scan: A graph theory based clustering algorithm

@article{Yan2011DetectingOF,
  title={Detecting overlapped functional clusters in resting state fMRI with Connected Iterative Scan: A graph theory based clustering algorithm},
  author={Xiaodan Yan and Stephen J. Kelley and Mark Goldberg and Bharat B. Biswal},
  journal={Journal of Neuroscience Methods},
  year={2011},
  volume={199},
  pages={108-118}
}
The brain is a complex neural network with interleaving functional connectivity among anatomical regions. However, current functional parcellation algorithms usually emphasize independence or orthogonality between the spatial components, with the interleaving nature underrepresented. This study investigates a method, Connected Iterative Scan (CIS), for identifying functionally overlapped anatomical groups with resting state fMRI. CIS iteratively optimizes a grouping of vertexes in a weighted… CONTINUE READING

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Independent component analysis: algorithms and applications

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