References
Contact
For software support contact us at opennft@gmail.com.
References
- For open-source OpenNFT code and applied real-time data processing and software features, cite Koush et al., 2017, Neuroimage.
- For real-time fMRI data, cite Koush et al., 2017, Data in Brief.
- For SPM features, cite SPM12 http://fil.ion.ucl.ac.uk/spm/.
- For DCM features, cite used SPM, DCM10 release.
- For incremental GLM, cite Bagarinao et. al. 2003, NeuroImage .
- For connectivity-based feedback using DCM, cite Koush et al. 2013, NeuroImage; Koush et al. 2015, Cerebral Cortex.
- For real-time signal processing using Kalman filter, cite Koush et al. 2012, NeuroImage.
- For SVM-based feedback, cite LaConte et al. 2007, HBM; LaConte 2011, NeuroImage
- For sigmoidal function, cite deBettencourt et al. 2015, NatNeuroscience
- For feedback display based on PTB-3 functions, cite http://psychtoolbox.org/
- For Matlab, cite MathWorks, Natick, Massachusetts, United States.
- For Python, cite https://www.python.org/
Citations
- Koush Y., Ashburner J., Prilepin E., Sladky R., Zeidman P., Bibikov S., Frank Scharnowski F., Nikonorov A., Van De Ville D. (2017). OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. Neuroimage 157:489-503)
- Koush Y., Ashburner J., Prilepin E., Sladky R., Zeidman P., Bibikov S., Frank Scharnowski F., Nikonorov A., Van De Ville D. (2017). Real-time fMRI data for testing OpenNFT functionality. Data in Brief 14:344-347
- Davydov N., Peek L., Auer T. et al. Real-time and Recursive Estimators for Functional MRI Quality Assessment. Neuroinform 20, 897–917 (2022).
- [Antipushina E., Davydov N., Riccardo De F., Prilepin E., Nikonorov A., Koush Y. pyOpenNFT: An open-source Python framework for ML-based real-time fMRI and EEG-fMRI neurofeedback, MICCAI (2025)]