A Supervoxel-Based Method for Groupwise Whole Brain Parcellation with Resting-State fMRI Data

@inproceedings{Wang2016ASM,
  title={A Supervoxel-Based Method for Groupwise Whole Brain Parcellation with Resting-State fMRI Data},
  author={Jing Wang and Haixian Wang},
  booktitle={Front. Hum. Neurosci.},
  year={2016}
}
Node definition is a very important issue in human brain network analysis and functional connectivity studies. Typically, the atlases generated from meta-analysis, random criteria, and structural criteria are utilized as nodes in related applications. However, these atlases are not originally designed for such purposes and may not be suitable. In this study, we combined normalized cut (Ncut) and a supervoxel method called simple linear iterative clustering (SLIC) to parcellate whole brain… CONTINUE READING
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