GIFT

Version 4.0.5.0 (105 MB) by Cyrus Eierud

Group ICA/IVA software (MATLAB)

https://trendscenter.org/trends/software/gift/

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Updated 21 Feb 2024

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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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Iraji, Armin, et al. “Tools of the Trade: Estimating Time-Varying Connectivity Patterns from FMRI Data.” Social Cognitive and Affective Neuroscience, vol. 16, no. 8, Aug. 2020, pp. 849–74, https://doi.org/10.1093/scan/nsaa114.

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Created with R2016b

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Version	Published	Release Notes
4.0.5.0	21 Feb 2024	See release notes for this release on GitHub: https://github.com/trendscenter/gift/releases/tag/v4.0.5.0 See release notes for this release on GitHub: https://github.com/trendscenter/gift/releases/tag/v4.0.5.0	Download
4.0.4.0	22 Feb 2023	See release notes for this release on GitHub: https://github.com/trendscenter/gift/releases/tag/v4.0.4.0	Download
4.0.3.5	23 Sep 2022	See release notes for this release on GitHub: https://github.com/trendscenter/gift/releases/tag/v4.0.3.5	Download
4.0.3.0	3 Jun 2022		Download

To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	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.
APA	Du, Y., Fu, Z., Sui, J., Gao, S., Xing, Y., Lin, D., Salman, M., et al. (2020). NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders. NeuroImage: Clinical, 28, 102375. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.nicl.2020.102375
BibTeX	@article{Du_2020, doi = {10.1016/j.nicl.2020.102375}, url = {https://doi.org/10.1016%2Fj.nicl.2020.102375}, year = 2020, publisher = {Elsevier {BV}}, volume = {28}, pages = {102375}, author = {Yuhui Du and Zening Fu and Jing Sui and Shuang Gao and Ying Xing and Dongdong Lin and Mustafa Salman and Anees Abrol and Md Abdur Rahaman and Jiayu Chen and L. Elliot Hong and Peter Kochunov and Elizabeth A. Osuch and Vince D. Calhoun}, title = {{NeuroMark}: An automated and adaptive {ICA} based pipeline to identify reproducible {fMRI} markers of brain disorders}, journal = {{NeuroImage}: Clinical} }

MLA	Iraji, Armin, et al. “Tools of the Trade: Estimating Time-Varying Connectivity Patterns from FMRI Data.” Social Cognitive and Affective Neuroscience, vol. 16, no. 8, Aug. 2020, pp. 849–74, https://doi.org/10.1093/scan/nsaa114.
APA	Iraji, A., Faghiri, A., Lewis, N., Fu, Z., Rachakonda, S., & Calhoun, V. D. (2020). Tools of the trade: estimating time-varying connectivity patterns from fMRI data. Social Cognitive and Affective Neuroscience, 16(8), 849–874. Oxford University Press (OUP). Retrieved from http://dx.doi.org/10.1093/scan/nsaa114
BibTeX	@article{Iraji_2020, title={Tools of the trade: estimating time-varying connectivity patterns from fMRI data}, volume={16}, ISSN={1749-5024}, url={http://dx.doi.org/10.1093/scan/nsaa114}, DOI={10.1093/scan/nsaa114}, number={8}, journal={Social Cognitive and Affective Neuroscience}, publisher={Oxford University Press (OUP)}, author={Iraji, Armin and Faghiri, Ashkan and Lewis, Noah and Fu, Zening and Rachakonda, Srinivas and Calhoun, Vince D}, year={2020}, month=aug, pages={849–874} }

GIFT

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