D
Deanna M. Barch
Researcher at Washington University in St. Louis
Publications - 114
Citations - 8452
Deanna M. Barch is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Medicine & Cognition. The author has an hindex of 9, co-authored 10 publications receiving 6477 citations. Previous affiliations of Deanna M. Barch include University of Washington.
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Journal ArticleDOI
Conflict monitoring and cognitive control.
TL;DR: Two computational modeling studies are reported, serving to articulate the conflict monitoring hypothesis and examine its implications, including a feedback loop connecting conflict monitoring to cognitive control, and a number of important behavioral phenomena.
Journal ArticleDOI
Reproducible brain-wide association studies require thousands of individuals
Scott Marek,Brenden Tervo-Clemmens,Finnegan J. Calabro,David F. Montez,Benjamin P Kay,Alexander S. Hatoum,Meghan Rose Donohue,Will Foran,Ryland L. Miller,Timothy Hendrickson,Stephen M. Malone,Sridhar Kandala,Eric Feczko,Oscar Miranda-Dominguez,Alice M. Graham,Eric Earl,Anders Perrone,Michaela Cordova,Olivia Doyle,Lucille A. Moore,Gregory Mark Conan,Johnny Uriarte,Katherine Allene Snider,Benjamin J. Lynch,James C. Wilgenbusch,Thomas Pengo,Angela Tam,Jianzhong Chen,Dillan J. Newbold,Annie Zheng,Nicole A Seider,Andrew N. Van,Athanasia Metoki,Roselyne Chauvin,Timothy O. Laumann,Deanna J. Greene,Steven E. Petersen,Hugh Garavan,Wesley K. Thompson,Thomas E. Nichols,B.T. Thomas Yeo,Deanna M. Barch,Beatriz Luna,Damien A. Fair,Nico U.F. Dosenbach +44 more
TL;DR: In this article , the authors used three of the largest neuroimaging datasets currently available, with a total sample size of around 50,000 individuals, to quantify brain-wide association studies effect sizes and reproducibility as a function of sample size.
Journal ArticleDOI
Reproducible brain-wide association studies require thousands of individuals
Scott Marek,Brenden Tervo-Clemmens,Finnegan J. Calabro,David F. Montez,Benjamin P Kay,Alexander S. Hatoum,Meghan Rose Donohue,Will Foran,Ryland L. Miller,Timothy Hendrickson,Stephen M. Malone,Sridhar Kandala,Eric Feczko,Oscar Miranda-Dominguez,Alice M. Graham,Eric Earl,Anders Perrone,Michaela Cordova,Olivia Doyle,Lucille A. Moore,Gregory Mark Conan,Johnny Uriarte,Katherine Allene Snider,Benjamin J. Lynch,James C. Wilgenbusch,Thomas Pengo,Angela Tam,Jianzhong Chen,Dillan J. Newbold,Annie Zheng,Nicole A Seider,Andrew N. Van,Athanasia Metoki,Roselyne Chauvin,Timothy O. Laumann,Deanna J. Greene,Steven E. Petersen,Hugh Garavan,Wesley K. Thompson,Thomas E. Nichols,B.T. Thomas Yeo,Deanna M. Barch,Beatriz Luna,Damien A. Fair,Nico U.F. Dosenbach +44 more
TL;DR: In this paper , the authors used three of the largest neuroimaging datasets currently available, with a total sample size of around 50,000 individuals, to quantify brain-wide association studies effect sizes and reproducibility as a function of sample size.
Journal ArticleDOI
Improving prefrontal cortex function in schizophrenia through focused training of cognitive control.
TL;DR: The results suggest that focused strategy training may facilitate cognitive task performance in patients with schizophrenia by changing the dynamics of activity within critical control-related brain regions.
Journal ArticleDOI
Working memory related brain network connectivity in individuals with schizophrenia and their siblings
Grega Repovs,Deanna M. Barch +1 more
TL;DR: In this paper, the authors examined functional connectivity within and between four brain networks: frontal-parietal (FP), cingulo-opercular (CO), cerebellar (CER), and default mode (DMN).