SUMA: An Interface for Surface-Based Intra- and Inter-Subject Analysis with AFNI. - Ziad S. Saad; Richard C. Reynolds; Robert J. Cox; Brenna D. Argall; Shruti Japee (ISBI, 2004)

Sensory stimulation activates both motor and sensory components of the swallowing system. - Soren Y. Lowell; Christopher J. Poletto; Bethany R. Knorr-Chung; Richard C. Reynolds; Kristina Simonyan; Christy L. Ludlow (NeuroImage, 2008)

SUMA. - Ziad S. Saad; Richard C. Reynolds (NeuroImage, 2012)

Direct imaging of macrovascular and microvascular contributions to BOLD fMRI in layers IV-V of the rat whisker-barrel cortex. - Xin Yu 002; Daniel R. Glen; Shumin Wang; Stephen J. Dodd; Yoshiyuki Hirano; Ziad S. Saad; Richard C. Reynolds; Afonso C. Silva; Alan P. Koretsky (NeuroImage, 2012)

Correcting Brain-Wide Correlation Differences in Resting-State FMRI. - Ziad S. Saad; Richard C. Reynolds; Hang Joon Jo; Stephen J. Gotts; Gang Chen 008; Alex Martin; Robert W. Cox (Brain Connect., 2013)

Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. - Hang Joon Jo; Stephen J. Gotts; Richard C. Reynolds; Peter A. Bandettini; Alex Martin; Robert W. Cox; Ziad S. Saad (J. Appl. Math., 2013)

Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM. - Ruth Pauli; Alexander Bowring; Richard C. Reynolds; Gang Chen 008; Thomas E. Nichols; Camille Maumet (Frontiers Neuroinformatics, 2016)

Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level. - Gang Chen 008; Yong-Wook Shin; Paul A. Taylor; Daniel R. Glen; Richard C. Reynolds; Robert B. Israel; Robert W. Cox (NeuroImage, 2016)

FMRI Clustering in AFNI: False-Positive Rates Redux. - Robert W. Cox; Gang Chen 008; Daniel R. Glen; Richard C. Reynolds; Paul A. Taylor (Brain Connect., 2017)

Methods for cleaning the BOLD fMRI signal. - César Caballero-Gaudes; Richard C. Reynolds (NeuroImage, 2017)

Corrigendum to "Untangling the relatedness among correlations, Part I: Nonparametric approaches to inter-subject correlation analysis at the group level" [Neuroimage (in press)]. - Gang Chen 008; Yong-Wook Shin; Paul A. Taylor; Daniel R. Glen; Richard C. Reynolds; Robert B. Israel; Robert W. Cox (NeuroImage, 2017)

Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling. - Gang Chen 008; Paul A. Taylor; Yong-Wook Shin; Richard C. Reynolds; Robert W. Cox (NeuroImage, 2017)

An improved model of motion-related signal changes in fMRI. - Rémi Patriat; Richard C. Reynolds; Rasmus M. Birn (NeuroImage, 2017)

Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline. - Bhim M. Adhikari; Neda Jahanshad; Dinesh Shukla; David C. Glahn; John Blangero; Richard C. Reynolds; Robert W. Cox; Els Fieremans; Jelle Veraart; Dmitry S. Novikov; Thomas E. Nichols; L. Elliot Hong; et al. (PSB, 2018)

Statistical power comparisons at 3T and 7T with a GO / NOGO task. - Salvatore Torrisi; Gang Chen 008; Daniel R. Glen; Peter A. Bandettini; Chris I. Baker; Richard C. Reynolds; Jeffrey Yen-Ting Liu; Joseph Leshin; Nicholas L. Balderston; Christian Grillon; Monique Ernst (NeuroImage, 2018)

Fast detection and reduction of local transient artifacts in resting-state fMRI. - Hang Joon Jo; Richard C. Reynolds; Stephen J. Gotts; Daniel A. Handwerker; Irena Balzekas; Alex Martin; Robert W. Cox; Peter A. Bandettini (Comput. Biol. Medicine, 2020)

Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI. - Daniel R. Glen; Paul A. Taylor; Bradley R. Buchsbaum; Robert W. Cox; Richard C. Reynolds (Frontiers Neuroinformatics, 2020)

LayNii: A software suite for layer-fMRI. - Laurentius Huber; Benedikt A. Poser; Peter A. Bandettini; Kabir Arora; Konrad Wagstyl; Shinho Cho; Jozien B. M. Goense; Nils Nothnagel; Andrew Tyler Morgan; Job van den Hurk; Anna K. Müller; Richard C. Reynolds; et al. (NeuroImage, 2021)

Highlight results, don't hide them: Enhance interpretation, reduce biases and improve reproducibility. - Paul A. Taylor; Richard C. Reynolds; Vince D. Calhoun; Javier Gonzalez-Castillo; Daniel A. Handwerker; Peter A. Bandettini; Amanda F. Mejia; Gang Chen 008 (NeuroImage, 2023)

BOLD Response is more than just magnitude: Improving detection sensitivity through capturing hemodynamic profiles. - Gang Chen 008; Paul A. Taylor; Richard C. Reynolds; Ellen Leibenluft; Daniel S. Pine; Melissa A. Brotman; David Pagliaccio; Simone P. Haller (NeuroImage, 2023)