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GIFT specifications


Unique identifier OMICS_25903
Alternative name Group ICA Of fMRI Toolbox
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB
Computer skills Medium
Stability Stable
Registration required Yes
Maintained Yes


No version available



  • person_outline Vince Calhoun
  • person_outline Srinivas Rachakonda

GIFT citations


Spatial reversal learning defect coincides with hypersynchronous telencephalic BOLD functional connectivity in APPNL F/NL F knock in mice

Sci Rep
PMCID: 5908850
PMID: 29674739
DOI: 10.1038/s41598-018-24657-9
call_split See protocol

[…] RsfMRI data were first analyzed with group independent component analysis (ICA) to determine which brain networks can be discerned using the GIFT-toolbox (Group ICA of fMRI toolbox version 2.0a: First the data of each individual animal was concatenated. Then group ICA was performed using the Infomax algorithm, followed by […]


Multilocus genetic profile in dopaminergic pathway modulates the striatum and working memory

Sci Rep
PMCID: 5876382
PMID: 29599495
DOI: 10.1038/s41598-018-23191-y

[…] cant correlation with the PGRS belonged, we performed group independent component analysis (group ICA) to separate the blood oxygen level-dependent signal into independent components using theprogram Group ICA of fMRI Toolbox (GIFT) ( Based on a previous study by Simth et al., we identified nine resting-state networks, including the default mode network and the front […]


The altered Granger causality connection among pain related brain networks in migraine

PMCID: 5882438
PMID: 29517685
DOI: 10.1097/MD.0000000000010102

[…] ce signal extraction. Finally, 9 nuisance signals (global mean, white matter, and cerebrospinal fluid signals and 6 motion parameters) were regressed out.Independent component analysis (ICA) used the Group ICA of fMRI Toolbox (GIFT, After 20 times randlnit and bootstrap and regression operations, we extracted 7 resting-state networks from 3 components, which […]


Large Scale Brain Networks Supporting Divided Attention across Spatial Locations and Sensory Modalities

PMCID: 5835354
PMID: 29535614
DOI: 10.3389/fnint.2018.00008

[…] for separating a multivariate signal into additive subcomponents. The main assumption is that each subcomponent is statistically independent from each other. ICA was here implemented by means of the “Group ICA of fMRI Toolbox” (GIFT; Calhoun et al., , ). This method involves performing ICA on functional data concatenated over every participant, creating a series of spatial maps and associated time […]


Early Socioemotional Intervention Mediates Long Term Effects of Atypical Rearing on Structural Covariation in Gray Matter in Adult Chimpanzees

PMCID: 5902648
PMID: 29381427
DOI: 10.1177/0956797617740685

[…] atter volume. The images were then smoothed with an isotropic Gaussian kernel (σ = 2 mm, full width half maximum = ~ 4.7 mm). The modulated smoothed images were then subject to SBM analysis using the Group ICA of fMRI Toolbox (GIFT) software (). The output from the SBM analysis produces a weighted score for each component and each individual subject that reflects their relative contribution to the […]


Stuck in a State of Inattention? Functional Hyperconnectivity as an Indicator of Disturbed Intrinsic Brain Dynamics in Adolescents With Concussion: A Pilot Study

PMCID: 5784460
PMID: 29357675
DOI: 10.1177/1759091417753802

[…] stigated this relationship in adults with TBI that are important to mention. used the same analysis methods, that is, a stationary ICA to model the ICNs followed by a SWA, and the same software, the Group ICA of fMRI Toolbox (GIFT; However, there are important differences between the two studies. Our study sample was highly homogeneous (i.e., very small age […]


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GIFT funding source(s)
Supported by the NIH under grant 1RO1EB000840.

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