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Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements.

, , , , , , and . NeuroImage, (2019)

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Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?, , , , , , , , , and 29 other author(s). Human Brain Mapping, 41 (14): 3839-3854 (July 2020)Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback., , , , , and . Sensors, 20 (6): 1620 (2020)Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery., , , , , and . NeuroImage, (2015)Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis., , , , , , , , , and 38 other author(s). NeuroImage, (2021)Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis, , , , , , , , , and 38 other author(s). NeuroImage, (August 2021)Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements., , , , , , and . NeuroImage, (2019)Inter-individual variability in current direction for common tDCS montages., , , , and . NeuroImage, (2022)Multimodal Evaluation of Motor Imagery Training Supported by Mobile EEG at Home: A Case Report., , , and . SMC, page 3181-3186. IEEE, (2015)Modulatory effects of dynamic fMRI-based neurofeedback on emotion regulation networks in adolescent females., , , , , , , and . NeuroImage, (2020)Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study., , , , , and . NeuroImage, (2015)