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Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM.

, , , , , and . Frontiers Neuroinformatics, (2016)

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FMRI Clustering in AFNI: False-Positive Rates Redux., , , , and . Brain Connect., 7 (3): 152-171 (2017)Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level., , , , , , and . NeuroImage, (2016)Methods for cleaning the BOLD fMRI signal, and . NeuroImage, (December 2016)SUMA., and . NeuroImage, 62 (2): 768-773 (2012)Statistical power comparisons at 3T and 7T with a GO / NOGO task., , , , , , , , , and 1 other author(s). NeuroImage, (2018)Corrigendum to Üntangling the relatedness among correlations, Part I: Nonparametric approaches to inter-subject correlation analysis at the group level" Neuroimage (in press)., , , , , , and . NeuroImage, (2017)Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling., , , , and . NeuroImage, (2017)SUMA: An Interface for Surface-Based Intra- and Inter-Subject Analysis with AFNI., , , , and . ISBI, page 1510-1511. IEEE, (2004)Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline., , , , , , , , , and 4 other author(s). PSB, page 307-318. (2018)Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI., , , , and . Frontiers Neuroinformatics, (2020)