GIFT

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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Versión 4.0.5.0 (105 MB)
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Versión	Publicado	Notas de la versión	Action
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	Descargar
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	Descargar
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	Descargar
4.0.3.0	3 jun 2022		Descargar

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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} }