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Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia., , , , , , and . NeuroImage, 41 (3): 835-848 (2008)Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity., , , , , , , , , and 8 other author(s). NeuroImage, (2020)Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project., , , , , , , , and . Brain Connect., 6 (9): 669-680 (2016)The Human Connectome Project: A data acquisition perspective., , , , , , , , , and 17 other author(s). NeuroImage, 62 (4): 2222-2231 (2012)Test-retest reliability of fMRI-measured brain activity during decision making under risk., , , , , , and . NeuroImage, (2020)The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression., , , , , , , , , and 8 other author(s). NeuroImage, (2020)Function in the human connectome: Task-fMRI and individual differences in behavior., , , , , , , , , and 10 other author(s). NeuroImage, (2013)ConnectomeDB - Sharing human brain connectivity data., , , , , , , , , and 10 other author(s). NeuroImage, (2016)HPA axis genetic variation, pubertal status, and sex interact to predict amygdala and hippocampus responses to negative emotional faces in school-age children., , , , , , , , and . NeuroImage, (2015)The WU-Minn Human Connectome Project: An overview., , , , , and . NeuroImage, (2013)