A MATLAB package for multi-modal voxel-wise brain image analysis
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README.md

VoxelStats - A MATLAB package for multi-modal voxel-wise brain image analysis.

Wiki/User Guide - https://github.com/sulantha2006/VoxelStats/wiki

Publication: http://journal.frontiersin.org/article/10.3389/fninf.2016.00020/full

VoxelStats - A MATLAB package for multi-modal voxel-wise brain image analysis. 
COPYRIGHT:      Copyright 2015  Sulantha Mathotaarachchi
                Translational Neuroimaging Laboratory,
                McGill University Research Center for Studies in Aging,
                sulantha.s@gmail.com, pedro.rosa@mcgill.ca

Permission to use, and copy this software and its documentation for 
any non-commercial purpose and without fee is hereby granted, provided
that the above copyright notice appears in all copies. 
External library packages bundled with this software are covered and 
governed by their own copyright notice.

COMMERCIAL, GOVERNMENT OR MILITARY ORGANIZATIONS WHO WISH TO USE THE 
SOFTWARE SHOULD REQUEST PERMISSION FROM THE AUTHORS.
ANY MODIFICATIONS AND REDISTRIBUTION NEED TO BE AUTHORIZED BY THE 
AUTHOR. 

THE AUTHORS AND MCGILL UNIVERSITY MAKE NO REPRESENTATIONS ABOUT THE SUITABILITY 
OF THIS SOFTWARE FOR ANY PURPOSE. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT 
WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE 
WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND 
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE 
FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, 
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE 
OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


External library packages:
    EMMA Toolkit - https://github.com/BIC-MNI/emma
    Tools for NIfTI and ANALYZE image - http://www.mathworks.com/matlabcentral/fileexchange/8797-tools-for-nifti-and-analyze-image
    stat_threshold (SurfStat) - http://www.math.mcgill.ca/keith/surfstat/


Package requirements for MINC operations: 
    MINC-TOOLKIT - https://github.com/BIC-MNI/minc-toolkit