The Gabrieli Lab. McGovern Institute for Brain Research MIT/X Consortium License Yes MIT NITRC CONN - fMRI functional connectivity OS Independent Yes MATLAB Toolbox for functional connectivity analyses of fMRI data * Seed-to-voxel analyses: Analyze the connectivity between one or multiple seed areas and the whole brain * ROI-to-ROI analyses: Analyze the connectivity between multiple ROIs, as well as graph-theoretical properties of the resulting networks * Voxel-to-voxel analyses: Analyze the whole-brain connectome without using a priori seeds/ROIs Available for resting state data as well as task-related block designs. Gui and automated batch processing Method highlights: Complete spatial preprocessing pipeline; CompCor method for removing physiological and movement confounds; Multiple seed-to-voxel and ROI-to-ROI linear connectivity measures; Whole-brain multivariate pattern analyses of connectivity maps, and estimation of several descriptive connectivity indexes; Univariate and multivariate group-level analyses (mixed within- between-subjects designs) Dependencies: Matlab, SPM http://web.mit.edu/swg/software.htm 2011-11-20 Beta conn v.13.i 2011-10-19 Beta documentation 2011-10-18 Beta batch processing example scripts/datasets 2010-6-23 Beta conn v.12.p (previous stable release) CONN - fMRI functional connectivity MIT/X Consortium License, English, Beta, MR, OS Independent, Modeling, MATLAB, Developers, End Users, Regression, Connectivity Analysis, Principal Component Analysis, Multivariate Analysis, Correlation, ANALYZE, NIfTI-1, Visualization http://www.nitrc.org/projects/conn/, http://www.nitrc.org/projects/conn/