W
Will Foran
Researcher at University of Pittsburgh
Publications - 27
Citations - 1381
Will Foran is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 3, co-authored 5 publications receiving 44 citations.
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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
QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data.
Matthew Cieslak,Philip A. Cook,Xiaosong He,Fang-Cheng Yeh,Thijs Dhollander,Azeez Adebimpe,Geoffrey K. Aguirre,Danielle S. Bassett,Richard F. Betzel,Josiane Bourque,Laura M. Cabral,Christos Davatzikos,John A. Detre,Eric Earl,Mark A. Elliott,Shreyas Fadnavis,Damien A. Fair,Will Foran,Panagiotis Fotiadis,Eleftherios Garyfallidis,Barry Giesbrecht,Ruben C. Gur,Raquel E. Gur,Max B. Kelz,Anisha Keshavan,Bart Larsen,Beatriz Luna,Allyson P. Mackey,Michael P. Milham,Desmond J. Oathes,Anders Perrone,Anders Perrone,Adam Pines,David R. Roalf,Adam Richie-Halford,Ariel Rokem,Valerie J. Sydnor,Tinashe M. Tapera,Ursula A. Tooley,Jean M. Vettel,Jason D. Yeatman,Scott T. Grafton,Theodore D. Satterthwaite +42 more
TL;DR: QSIPrep as mentioned in this paper is an integrative software platform for the processing of diffusion images that is compatible with nearly all dMRI sampling schemes, and facilitates the implementation of best practices for processing diffusion images.
Posted ContentDOI
QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI
Matthew Cieslak,Philip A. Cook,Xiaosong He,Fang-Cheng Yeh,Thijs Dhollander,Azeez Adebimpe,Geoffrey K. Aguirre,Danielle S. Bassett,Richard F. Betzel,Josiane Bourque,Laura M. Cabral,Christos Davatzikos,John A. Detre,Eric Earl,Mark A. Elliott,Shreyas Fadnavis,Damien A. Fair,Damien A. Fair,Will Foran,Panagiotis Fotiadis,Eleftherios Garyfallidis,Barry Giesbrecht,Ruben C. Gur,Raquel E. Gur,Max B. Kelz,Anisha Keshavan,Bart Larsen,Beatriz Luna,Allyson P. Mackey,Michael P. Milham,Desmond J. Oathes,Anders Perrone,Anders Perrone,Adam Pines,David R. Roalf,Adam Richie-Halford,Ariel Rokem,Valerie J. Sydnor,Tinashe M. Tapera,Ursula A. Tooley,Jean M. Vettel,Jason D. Yeatman,Scott T. Grafton,Theodore D. Satterthwaite +43 more
TL;DR: QSIPrep is introduced, an integrative software platform for the processing of diffusion images that is compatible with nearly all dMRI sampling schemes and automatically applies best practices for dMRI preprocessing, including denoising, distortion correction, head motion correction, coregistration, and spatial normalization.
Journal ArticleDOI
Age-Related Trajectories of Functional Coupling between the VTA and Nucleus Accumbens Depend on Motivational State.
TL;DR: It is shown that in motivational contexts, there is increased state-dependent coupling across mesolimbic systems in preadolescence/early adolescence that decreases into adulthood and is further predicted by event-evoked cortical responses.