SLIC: a whole brain parcellation toolbox
Copyright (C) 2016 Jing Wang

This toolbox utilizes five whole brain parcellation approaches that 
operates on resting-state fMRI data to generate groupwise whole brain 
atlases. Three of the five approaches are reproduced from the Ncut-based 
approaches in (Craddock et al., 2012, HBM) and (Shen et al., 2013, 
Neuroimage). The remaining two are the mean SLIC and two-level SLIC 
approaches that integrate Ncut and SLIC. We used 190 subjects from the 
Beijing_Zang dataset to generate the atlases. And the resultant atlases 
are shared within this toolbox. For further information, see the 
Readme_data and Readme_plus files. This project is also shared on NITRC, 
https://www.nitrc.org/projects/slic/. 

Usage:
Run parc_main.m to play this demo. 

Reference:
Jing Wang, Haixian Wang. A supervoxel-based method for groupwise whole 
brain parcellation with resting-state fMRI data. Frontiers in Human 
Neuroscience. DOI: 10.3389/fnhum.2016.00659

Contact information:
Jing Wang
wangjing0@seu.edu.cn
yuzhounh@163.com

2016-12-13 22:06:10