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Model-free analysis of brain fMRI data by recurrence quantification., , , , , and . NeuroImage, 37 (2): 489-503 (2007)Modulation of spontaneous fMRI activity in human visual cortex by behavioral state., , , , , and . NeuroImage, 45 (1): 160-168 (2009)Improved 7 Tesla resting-state fMRI connectivity measurements by cluster-based modeling of respiratory volume and heart rate effects., , , , , , and . NeuroImage, (2017)Early anti-correlated BOLD signal changes of physiologic origin., , , , and . NeuroImage, (2014)Dependence of resting-state fMRI fluctuation amplitudes on cerebral cortical orientation relative to the direction of B0 and anatomical axes., , , , and . NeuroImage, (2019)Toward an In Vivo Neuroimaging Template of Human Brainstem Nuclei of the Ascending Arousal, Autonomic, and Motor Systems., , , , , , , , , and . Brain Connectivity, 5 (10): 597-607 (2015)Physiological noise model comparison for resting-state fMRI at 7 T., , , , , and . ISBI, page 1001-1004. IEEE, (2016)Functional connectome of arousal and motor brainstem nuclei in living humans by 7 Tesla resting-state fMRI., , , , , , and . NeuroImage, (2022)Phase stability in fMRI time series: Effect of noise regression, off-resonance correction and spatial filtering techniques., , , , and . NeuroImage, 59 (4): 3748-3761 (2012)Challenges and opportunities for brainstem neuroimaging with ultrahigh field MRI., , , , and . NeuroImage, (2018)