Veit, R Max Planck Institute for Biological Cybernetics, Max Planck Society; Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
https://www.sciencedirect.com/science/article/pii/S1053811921004845 (Verlagsversion)
Haugg, A., Renz, F., Nicholson, A., Lor, C., Götzendorfer, S., Sladky, R., et al. (2021). Predictors of real-time fMRI neurofeedback performance and improvement: A machine learning mega-analysis. NeuroImage, 237: 118207, pp. 1-11. doi:10.1016/j.neuroimage.2021.118207.