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Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training., , , , , , , and . NeuroImage, (2014)Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies., , , , and . NeuroImage, (2019)Data-driven tensor independent component analysis for model-based connectivity neurofeedback., , , and . NeuroImage, (2019)Real-time fMRI neurofeedback: Progress and challenges., , , , , , , , , and 7 other author(s). NeuroImage, (2013)Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis., , , , , , , , , and 38 other author(s). NeuroImage, (2021)The effects of psychiatric history and age on self-regulation of the default mode network., and . NeuroImage, (2019)Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI., , , , , , , , and . NeuroImage, (2013)Brain networks for engaging oneself in positive-social emotion regulation., , , , , 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)Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training., , , , and . IEEE Trans. Biomed. Engineering, 64 (6): 1228-1237 (2017)