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Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical network structure results in low-dimensional spatiotemporal dynamics., , and . NeuroImage, (2020)Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI., , , , , , and . J. Appl. Math., (2013)Callosal anisotropy predicts attentional network changes after parietal inhibitory stimulation., , , , , , and . NeuroImage, (2021)Practice Structure Improves Unconscious Transitional Memories by Increasing Synchrony in a Premotor Network., , , and . J. Cognitive Neuroscience, 27 (8): 1503-1512 (2015)Canonical Cortical Circuit Model Explains Rivalry, Intermittent Rivalry, and Rivalry Memory., , , , , and . PLoS Comput. Biol., (2016)Correcting Brain-Wide Correlation Differences in Resting-State FMRI., , , , , , and . Brain Connect., 3 (4): 339-352 (2013)Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression., , , , , , and . Brain Connect., 2 (1): 25-32 (2012)Fast detection and reduction of local transient artifacts in resting-state fMRI., , , , , , , and . Comput. Biol. Medicine, (2020)