- Introduction
- Download
- GIFT BIDS-Apps
- Screen Shots
- Version Compatability
- Toolboxes and Features added to GIFT
- Documentation/Manual
- FAQ
- Version History
- Publications
GIFT is an application, originally supported by NIH grant 1RO1 EB000840 to Dr. Vince Calhoun and Dr. Tulay Adali and has been continuous supported by NIH and NSF. The MATLAB application implements multiple algorithms for independent component analysis and blind source separation of group (and single subject) functional magnetic resonance imaging data. GIFT has been downloaded 18581 times (as of 7/6/24) by researchers world wide. For question or comments please contact Vince Calhoun (vcalhoun@gsu.edu) or Cyrus Eierud (ceierud@gsu.edu).
GroupICAT - Download latest version by clicking the green code button on the upper right on this page and then clone the software using the link and the git clone command in your terminal. Current version of Group ICA. Requires MATLAB R2008a and higher.
Windows 64 - Compiled on Windows 64 bit OS and MATLAB R2020a. Please see read me text file for more details.
Linux-x86-64 - Compiled on Linux-x86-64 bit OS and MATLAB R2016b. Please see read me text file for more details.
fMRI Data - Example fMRI datais from a visuomotor paradigm.
Mancovan Sample Data - Sample data to use in mancovan analysis or temporal dfnc analysis.
Complex GIFT - ICA is applied on complex fMRI data. Please follow the read me text file instructions for doing complex fMRI ICA analysis.
If you have your data in BIDS format or you want to run GIFT under a cluster you may want to our GIFT BIDS-Apps gift-bids.
<markdown-accessiblity-table><table class="readme_table"> <thead> <tr> <th align="center" class="readme_th"><a target="_blank" rel="nofollow noopener noreferrer" rel="nofollow noopener noreferrer" href="https://github.com/trendscenter/gift/blob/master/doc/web/img/20240705Gift4Ims.png"><img src="https://github.com/trendscenter/gift/raw/master/doc/web/img/20240705Gift4Ims.png" alt="GIFT" style="max-width: 100%;"></a></th> </tr> </thead> <tbody> <tr> <td align="center" class="readme_td">Figure 1. GIFT Sceenshots</td> </tr> </tbody> </table></markdown-accessiblity-table>All the toolboxes in GIFT require only MATLAB and not dependent on additional MATLAB toolboxes like Image Processing, Signal Processing, etc. Basic GIFT analysis (without GUI) runs on MATLAB R13 and higher. GIFT GUI works on R2008a and higher. Please see below for specific details related to toolboxes in GIFT:
- MANCOVAN runs on MATLAB R2008a and higher. From R2012b onwards, Optimization toolbox is not required to compute t-threshold based on distribution of voxelwise t-stats. There is an option to use Z-threshold or select mask if Optimization toolbox is not installed on MATLAB versions less than R2012b.
- Temporal and Spatial dFNC runs on MATLAB R2008a and higher.
Mancovan toolbox is based on the paper (E. Allen, E. Erhardt, E. Damaraju, W. Gruner, J. Segall, R. Silva, M. Havlicek, S. Rachakonda, J. Fries, R.Kalyanam, A. Michael, J. Turner, T. Eichele, S. Adelsheim, A. Bryan, J. R. Bustillo, V. P. Clark, S. Feldstein,F. M. Filbey, C. Ford, et al, 2011). This toolbox works on MATLAB versions greater than R2008a. Features used are subject component spatial maps, timecourses spectra and FNC correlations. Multivariate tests are done on the features to determine the significant covariates which are later used in the univariate tests on each feature. To invoke the toolbox, select “Mancovan� under “Toolboxes� menu (Figure 3.2). You could also invoke toolbox using mancovan_toolbox at the command prompt. Mancovan toolbox (Figure 3.38) is divided into four parts like create design matrix, setup features, run mancova and display.
NBiC toolbox is based on the 2020 publication "N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia" (Md Abdur Rahaman , Jessica A. Turner, Cota Navin Gupta, Srinivas Rachakonda, Jiayu Chen , Jingyu Liu , Theo G. M. van Erp, Steven Potkin, Judith Ford, Daniel Mathalon, Hyo Jong Lee, Wenhao Jiang, Bryon A. Mueller, Ole Andreassen, Ingrid Agartz, Scott R. Sponheim , Andrew R. Mayer, Julia Stephen , Rex E. Jung, Jose Canive, Juan Bustillo, and Vince D. Calhoun). This toolbox works on MATLAB versions greater than R2008a. Click here for more info.
Click here for link to manual in PDF format
Click here for link to manual in Word format
More information about about the GIFT version history is found at the following link: GIFT version history
Cite As
Calhoun, V. D., et al. “A Method for Making Group Inferences Using Independent Component Analysis of Functional MRI Data: Exploring the Visual System.” NeuroImage, 2001, pp. S88.
Du, Yuhui, et al. “NeuroMark: An Automated and Adaptive ICA Based Pipeline to Identify Reproducible FMRI Markers of Brain Disorders.” NeuroImage: Clinical, vol. 28, Elsevier BV, 2020, p. 102375, doi:10.1016/j.nicl.2020.102375.
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GroupICAT/icatb
GroupICAT/icatb/@gifti
GroupICAT/icatb/@gifti/private
GroupICAT/icatb/icatb_analysis_functions
GroupICAT/icatb/icatb_analysis_functions/icatb_algorithms
GroupICAT/icatb/icatb_analysis_functions/icatb_algorithms/icatb_semiblindInfomax
GroupICAT/icatb/icatb_batch_files
GroupICAT/icatb/icatb_display_functions
GroupICAT/icatb/icatb_helpManual
GroupICAT/icatb/icatb_helper_functions
GroupICAT/icatb/icatb_io_data_functions
GroupICAT/icatb/icatb_mancovan_files
GroupICAT/icatb/icatb_parallel_files
GroupICAT/icatb/icatb_scripts
GroupICAT/icatb/icatb_spm_files
GroupICAT/icatb/icatb_spm_files/@icatb_file_array
GroupICAT/icatb/icatb_spm_files/@icatb_file_array/private
GroupICAT/icatb/icatb_spm_files/@icatb_nifti
GroupICAT/icatb/icatb_spm_files/@icatb_nifti/private
GroupICAT/icatb/icatb_talairach_scripts
GroupICAT/icatb/icatb_templates
GroupICAT/icatb/toolbox/Graphical_Lasso
GroupICAT/icatb/toolbox/dynamic_coherence
GroupICAT/icatb/toolbox/eegiftv1.0c
GroupICAT/icatb/toolbox/eegiftv1.0c/icatb_eeg_batch_files
GroupICAT/icatb/toolbox/eegiftv1.0c/icatb_eeg_files
GroupICAT/icatb/toolbox/eegiftv1.0c/icatb_eeglabv6.0b_files
GroupICAT/icatb/toolbox/export_fig
GroupICAT/icatb/toolbox/icasso122
GroupICAT/icatb/toolbox/mancovan
GroupICAT/icatb/toolbox/mi
GroupICAT/icatb/toolbox/nbic
GroupICAT/icatb/toolbox/noisecloud
GroupICAT/icatb/toolbox/noisecloud/3rdparty
GroupICAT/icatb/toolbox/noisecloud/3rdparty/glmnet_matlab
GroupICAT/icatb/toolbox/noisecloud/prep
GroupICAT/icatb/toolbox/noisecloud/prep/label-good-bad-gui
GroupICAT/icatb/toolbox/noisecloud/scripts
Version | Published | Release Notes | |
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4.0.5.0 | See release notes for this release on GitHub: https://github.com/trendscenter/gift/releases/tag/v4.0.5.0
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4.0.4.0 | See release notes for this release on GitHub: https://github.com/trendscenter/gift/releases/tag/v4.0.4.0 |
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4.0.3.5 | See release notes for this release on GitHub: https://github.com/trendscenter/gift/releases/tag/v4.0.3.5 |
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4.0.3.0 |