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Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis., , , , , , , , , and 38 other author(s). NeuroImage, (2021)Data-driven tensor independent component analysis for model-based connectivity neurofeedback., , , and . NeuroImage, (2019)Volitional modulation of higher-order visual cortex alters human perception., , , , , , , , and . NeuroImage, (2019)No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI., , , , , , , , , and . NeuroImage, (2019)Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training., , , , , , , and . NeuroImage, (2014)Signal quality and Bayesian signal processing in neurofeedback based on real-time fMRI., , , , and . NeuroImage, 59 (1): 478-489 (2012)Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization., , , , , , , , , and . PRNI, page 1-4. IEEE, (2016)Brain networks for engaging oneself in positive-social emotion regulation., , , , , and . NeuroImage, (2019)Functional MRS with J-edited lactate in human motor cortex at 4 T., , , , and . NeuroImage, (2019)OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis., , , , , , , , and . NeuroImage, (2017)