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Reconstructing Large-Scale Brain Resting-State Networks from High-Resolution EEG: Spatial and Temporal Comparisons with fMRI., , , , , and . Brain Connectivity, 6 (2): 122-135 (2016)Subject specific BOLD fMRI respiratory and cardiac response functions obtained from global signal., , and . NeuroImage, (2013)Self-regulation of the anterior insula: Reinforcement learning using real-time fMRI neurofeedback., , , , , , , , , and 3 other author(s). NeuroImage, (2014)Correlated slow fluctuations in respiration, EEG, and BOLD fMRI., , , and . NeuroImage, (2013)Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis., , , , , , , , , and 38 other author(s). NeuroImage, (2021)Mapping the MRI voxel volume in which thermal noise matches physiological noise - Implications for fMRI., , , , and . NeuroImage, 34 (2): 542-549 (2007)Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback., , , , and . NeuroImage, (2014)Physiological noise effects on the flip angle selection in BOLD fMRI., , , and . NeuroImage, 54 (4): 2764-2778 (2011)Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests., , , , , , and . Bioinformatics, 33 (18): 2906-2913 (2017)Artifactual time-course correlations in echo-planar fMRI with implications for studies of brain function., , and . Int. J. Imaging Systems and Technology, 18 (5-6): 345-349 (2008)