CONN - fMRI functional connectivity
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
* 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
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