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Data-driven tensor independent component analysis for model-based connectivity neurofeedback., , , and . NeuroImage, (2019)Network-based fMRI-neurofeedback training of sustained attention., , , , , , , and . NeuroImage, (2020)Author Correction: Closed-loop brain training: the science of neurofeedback, , , , , , , , , and 2 other author(s). Nature Reviews Neuroscience, 20 (5): 314--314 (March 2019)Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis., , , , , , , , , and 38 other author(s). NeuroImage, (2021)Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies., , , , and . NeuroImage, (2019)Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training., , , , , , , and . NeuroImage, (2014)Closed-loop brain training: the science of neurofeedback, , , , , , , , , and 2 other author(s). Nature Reviews Neuroscience, 18 (2): 86--100 (December 2016)Cognitive enhancement through real-time fMRI neurofeedback, and . Current Opinion in Behavioral Sciences, (August 2015)Manipulating motor performance and memory through real-time fMRI neurofeedback, , , , , , , , , and . Biological Psychology, (May 2015)The effects of psychiatric history and age on self-regulation of the default mode network., and . NeuroImage, (2019)