Direct Comparison of Prefrontal Cortex Regions Engaged by Working and Long-Term Memory Tasks. - Todd S. Braver; Deanna M. Barch; William M. Kelley; Randy L. Buckner; Neal J. Cohen; Francis M. Miezin; Abraham Z. Snyder; John M. Ollinger; Erbil Akbudak; Thomas E. Conturo; Steven E. Petersen (NeuroImage, 2001)

Hemodynamic responses in visual, motor, and somatosensory cortices in schizophrenia. - Deanna M. Barch; Jennifer R. Mathews; Randy L. Buckner; Luigi Maccotta; John G. Csernansky; Abraham Z. Snyder (NeuroImage, 2003)

Transient BOLD responses at block transitions. - Michael D. Fox; Abraham Z. Snyder; Deanna M. Barch; Debra A. Gusnard; Marcus E. Raichle (NeuroImage, 2005)

The BOLD onset transient: identification of novel functional differences in schizophrenia. - Michael D. Fox; Abraham Z. Snyder; Mark P. McAvoy; Deanna M. Barch; Marcus E. Raichle (NeuroImage, 2005)

Sex influences on material-sensitive functional lateralization in working and episodic memory: Men and women are not all that different. - Kristen M. Haut; Deanna M. Barch (NeuroImage, 2006)

Performance on an episodic encoding task yields further insight into functional brain development. - Tara McAuley; Shefali Brahmbhatt; Deanna M. Barch (NeuroImage, 2007)

Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia. - Alan Anticevic; Donna L. Dierker; Sarah K. Gillespie; Grega Repovs; John G. Csernansky; David C. Van Essen; Deanna M. Barch (NeuroImage, 2008)

Symmetric abnormalities in sulcal patterning in schizophrenia. - John G. Csernansky; Sarah K. Gillespie; Donna L. Dierker; Alan Anticevic; Lei Wang 032; Deanna M. Barch; David C. Van Essen (NeuroImage, 2008)

When less is more: TPJ and default network deactivation during encoding predicts working memory performance. - Alan Anticevic; Grega Repovs; Gordon L. Shulman; Deanna M. Barch (NeuroImage, 2010)

Changes in Events Alter How People Remember Recent Information. - Khena M. Swallow; Deanna M. Barch; Denise Head; Corey J. Maley; Derek Holder; Jeffrey M. Zacks (J. Cogn. Neurosci., 2011)

Error processing network dynamics in schizophrenia. - Karla E. Becerril; Grega Repovs; Deanna M. Barch (NeuroImage, 2011)

Impaired error-likelihood prediction in medial prefrontal cortex in schizophrenia. - Adam Krawitz; Todd S. Braver; Deanna M. Barch; Joshua W. Brown (NeuroImage, 2011)

Automated landmark identification for human cortical surface-based registration. - Alan Anticevic; Grega Repovs; Donna L. Dierker; John W. Harwell; Timothy S. Coalson; Deanna M. Barch; David C. Van Essen (NeuroImage, 2012)

The Human Connectome Project: A data acquisition perspective. - David C. Van Essen; Kâmil Ugurbil; Edward J. Auerbach; Deanna M. Barch; T. E. J. Behrens; R. Bucholz; Acer Chang; Liyong Chen; Maurizio Corbetta; Sandra W. Curtiss; Stefania Della Penna; David A. Feinberg; et al. (NeuroImage, 2012)

Cognitive training-related changes in hippocampal activity associated with recollection in older adults. - Brenda A. Kirchhoff; Benjamin A. Anderson; Staci E. Smith; Deanna M. Barch; Larry L. Jacoby (NeuroImage, 2012)

Multimodal Surface Matching: Fast and Generalisable Cortical Registration Using Discrete Optimisation. - Emma C. Robinson; Saâd Jbabdi; Jesper L. R. Andersson; Stephen M. Smith 001; Matthew F. Glasser; David C. Van Essen; Gregory C. Burgess; Michael P. Harms; Deanna M. Barch; Mark Jenkinson (IPMI, 2013)

Toward open sharing of task-based fMRI data: the OpenfMRI project. - Russell A. Poldrack; Deanna M. Barch; Jason P. Mitchell; Tor D. Wager; Anthony D. Wagner; Joseph T. Devlin; Chad Cumba; Oluwasanmi Koyejo; Michael P. Milham (Frontiers Neuroinformatics, 2013)

Function in the human connectome: Task-fMRI and individual differences in behavior. - Deanna M. Barch; Gregory C. Burgess; Michael P. Harms; Steven E. Petersen; Bradley L. Schlaggar; Maurizio Corbetta; Matthew F. Glasser; Sandra W. Curtiss; Sachin Dixit; Cindy Feldt; Dan Nolan; Edward Bryant; et al. (NeuroImage, 2013)

The WU-Minn Human Connectome Project: An overview. - David C. Van Essen; Stephen M. Smith 001; Deanna M. Barch; Timothy Edward John Behrens; Essa Yacoub; Kâmil Ugurbil (NeuroImage, 2013)

Human Connectome Project informatics: Quality control, database services, and data visualization. - Daniel S. Marcus; Michael P. Harms; Abraham Z. Snyder; Mark Jenkinson; J. Anthony Wilson; Matthew F. Glasser; Deanna M. Barch; Kevin A. Archie; Gregory C. Burgess; Mohana Ramaratnam; Michael R. Hodge; William Horton; et al. (NeuroImage, 2013)

Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy. - Javier Arnedo; Daniel Mamah; David A. Baranger; Michael P. Harms; Deanna M. Barch; Dragan M. Svrakic; Gabriel Alejandro de Erausquin; Claude Robert Cloninger; Igor Zwir (NeuroImage, 2015)

HPA axis genetic variation, pubertal status, and sex interact to predict amygdala and hippocampus responses to negative emotional faces in school-age children. - David Pagliaccio; Joan L. Luby; Ryan Bogdan; Arpana Agrawal; Michael S. Gaffrey; Andrew C. Belden; Kelly N. Botteron; Michael P. Harms; Deanna M. Barch (NeuroImage, 2015)

Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project. - Gregory C. Burgess; Sridhar Kandala; Dan Nolan; Timothy O. Laumann; Jonathan D. Power; Babatunde Adeyemo; Michael P. Harms; Steven E. Petersen; Deanna M. Barch (Brain Connect., 2016)

ConnectomeDB - Sharing human brain connectivity data. - Michael R. Hodge; William Horton; Timothy Brown; Rick Herrick; Timothy R. Olsen; Michael Hileman; Michael McKay; Kevin A. Archie; Eileen Cler; Michael P. Harms; Gregory C. Burgess; Matthew F. Glasser; et al. (NeuroImage, 2016)

Multimodal neural correlates of cognitive control in the Human Connectome Project. - Dov B. Lerman-Sinkoff; Jing Sui; Srinivas Rachakonda; Sridhar Kandala; Vince D. Calhoun; Deanna M. Barch (NeuroImage, 2017)

The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds. - Leah H. Somerville; Susan Y. Bookheimer; Randy L. Buckner; Gregory C. Burgess; Sandra W. Curtiss; Mirella Dapretto; Jennifer Stine Elam; Michael S. Gaffrey; Michael P. Harms; Cynthia Hodge; Sridhar Kandala; Erik K. Kastman; et al. (NeuroImage, 2018)

The Lifespan Human Connectome Project in Aging: An overview. - Susan Y. Bookheimer; David H. Salat; Melissa Terpstra; Beau M. Ances; Deanna M. Barch; Randy L. Buckner; Gregory C. Burgess; Sandra W. Curtiss; Mirella Diaz-Santos; Jennifer Stine Elam; Bruce Fischl; Douglas N. Greve; et al. (NeuroImage, 2019)

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. - Donald J. Hagler Jr.; Sean N. Hatton; M. Daniela Cornejo; Carolina Makowski; Damien A. Fair; Anthony Steven Dick; Matthew T. Sutherland; B. J. Casey; Deanna M. Barch; Michael P. Harms; Richard Watts; James M. Bjork; et al. (NeuroImage, 2019)

Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity. - Caterina Gratton; Ally Dworetsky; Rebecca S. Coalson; Babatunde Adeyemo; Timothy O. Laumann; Gagan S. Wig; Tania S. Kong; Gabriele Gratton 001; Monica Fabiani; Deanna M. Barch; Daniel Tranel; Oscar Miranda-Dominguez; et al. (NeuroImage, 2020)

Test-retest reliability of fMRI-measured brain activity during decision making under risk. - Ozlem Korucuoglu; Michael P. Harms; Serguei V. Astafiev; James T. Kennedy; Semyon Golosheykin; Deanna M. Barch; Andrey P. Anokhin (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. - Leonardo Tozzi; Brooke Staveland; Bailey Holt-Gosselin; Megan Chesnut; Sarah E. Chang; David Choi; Melissa Shiner; Hua Wu; Garikoitz Lerma-Usabiaga; Olaf Sporns; Deanna M. Barch; Ian H. Gotlib; et al. (NeuroImage, 2020)

Meaningful associations in the adolescent brain cognitive development study. - Anthony Steven Dick; Daniel A. Lopez; Ashley L. Watts; Steven Heeringa; Chase Reuter; Hauke Bartsch; Chun Chieh Fan; David N. Kennedy; Clare E. Palmer; Andrew Marshall; Frank Haist; Samuel Hawes; et al. (NeuroImage, 2021)

The Human Connectome Project: A retrospective. - Jennifer Stine Elam; Matthew F. Glasser; Michael P. Harms; Stamatios N. Sotiropoulos; Jesper L. R. Andersson; Gregory C. Burgess; Sandra W. Curtiss; Robert Oostenveld; Linda J. Larson-Prior; Jan-Mathijs Schoffelen; Michael R. Hodge; Eileen A. Cler; et al. (NeuroImage, 2021)

Brain network mechanisms of visual shape completion. - Brian P. Keane; Deanna M. Barch; Ravi D. Mill; Steven M. Silverstein; Bart Krekelberg; Michael W. Cole (NeuroImage, 2021)

Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort. - Ayse S. Cakmak; Erick Andres Perez-Alday; Giulia Da Poian; Ali Bahrami Rad; Thomas J. Metzler; Thomas Neylan; Stacey L. House; Francesca L. Beaudoin; Xinming An; Jennifer S. Stevens; Donglin Zeng; Sarah D. Linnstaedt; et al. (IEEE J. Biomed. Health Informatics, 2021)

Filtering respiratory motion artifact from resting state fMRI data in infant and toddler populations. - Sydney Kaplan; Dominique Meyer; Oscar Miranda-Dominguez; Anders Perrone; Eric A. Earl; Dimitrios Alexopoulos; Deanna M. Barch; Trevor K. M. Day; Joseph Dust; Adam T. Eggebrecht; Eric Feczko; Omid Kardan; et al. (NeuroImage, 2022)

Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI. - Sydney Kaplan; Anders Perrone; Dimitrios Alexopoulos; Jeanette K. Kenley; Deanna M. Barch; Claudia Buss; Jed T. Elison; Alice M. Graham; Jeffrey J. Neil; Thomas G. O'Connor; Jerod Rasmussen; Monica Rosenberg; et al. (NeuroImage, 2022)

Reliability and stability challenges in ABCD task fMRI data. - James T. Kennedy; Michael P. Harms; Ozlem Korucuoglu; Serguei V. Astafiev; Deanna M. Barch; Wesley K. Thompson; James M. Bjork; Andrey P. Anokhin (NeuroImage, 2022)

Accuracy and reliability of diffusion imaging models. - Nicole A. Seider; Babatunde Adeyemo; Ryland Miller; Dillan J. Newbold; Jacqueline M. Hampton; Kristen M. Scheidter; Jerrel Rutlin; Timothy O. Laumann; Jarod Roland; David F. Montez; Andrew N. Van; Annie Zheng; et al. (NeuroImage, 2022)

A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility. - Robert J. Jirsaraie; Aaron J. Gorelik; Martins M. Gatavins; Denis A. Engemann; Ryan Bogdan; Deanna M. Barch; Aristeidis Sotiras (Patterns, 2023)

Shared and unique heritability of hippocampal subregion volumes in children and adults. - Jacob G. Pine; Arpana Agrawal; Ryan Bogdan; Sridhar Kandala; Shelly R. Cooper; Deanna M. Barch (NeuroImage, 2024)