MIND Image Analysis and Processing Tools

Group ICA of fMRI Toolbox (GIFT) and EEG ICA Toolbox (EEGIFT):

GIFT and EEGIFT are Matlab toolboxes which implement multiple algorithms for independent component analysis and blind source separation of group (and single subject) functional magnetic resonance imaging data.

To download GIFT, click here. (Click on image for a display.)

To download EEGIFT, click here. (Click on image for a display.)

Fusion ICA Toolbox (FIT):

FIT is a Matlab toolbox which implements data fusion approach using independent component analysis. It is used to examine the shared information between the features (SPM contrast image, EEG data).

To download FIT, click here (Click on image for a display.)

Functional Network Connectivity (FNC):

FNC is a Matlab toolbox which finds and displays temporal relations amongst components. This can help determine causal relations in the brain. Using GIFT to preprocess the raw data for FNC is recommended.

Download FNC (beta) here, which can be tested with some sample anonomized data. A walkthrough and a variable documentation is also available. (Click on image for a display.)

Group Inter-participant Correlation (GIPC, "Gypsy"):

GIPC is a Matlab toolbox that can compare spatial activation similarities amongst subjects in a study group, as well as comparing group spatial activations amongst different study groups.

To download GIPC (beta), as well as some sample anonomized data, click here. A walkthrough and a variable documentation is also available. (Click on image for a display.)