ReproNim is dedicated to making neuroimaging research openly reproducible across a wide spectrum of research endeavors. We actively seek and support community engagement and feedback in the technical development, application, and refinement of user-friendly computational services that can be readily integrated into current research practices. Contact us to participate.
We are collaborating with numerous groups around the country and abroad to synergistically develop ReproNim tools in concert with (and as informed by) rapidly advancing technologies in a variety of areas including image analysis, workflow processing, data sourcing and hosting, and associated API developments (See Collaborator Projects below.).
In parallel, we are working with both basic and clinical researchers with established programs of applied neuroimaging research around the country, as well as large scale informatics initiative in the US and the UK, to guide and refine the practical implementation of ReproNim tools in a variety of real-world research settings (See Service Projects below.).
Bruce R. Rosen, M.D., Ph.D. & Bruce Fischl, Ph.D. MGH/HMS
2 P42 EB015896, Center for Functional Imaging Technologies
David Van Essen, Ph.D., Washington University, Daniel S. Marcus, Ph.D., Washington University, Steve M. Smith, Ph.D., Oxford University
5 U54 MH091657, Mapping the Human Connectome: Structure, Function and Heritability
Alan C. Evans, Ph.D., Montreal Neurological Institute
Grant #62570, Brain Canada-Azrieli Foundation, ‘Structural and functional networks in Autism Spectrum Disorder and Fragile X Syndrome
Ron Kikinis, M.D., Brigham and Women’s Hosp.,
2 P41 EB015902, Neuorimaging Analysis Center (NAC)
Prof. Michael Hanke, Ph.D., Forschungszentrum Jülich
DFG PO 548/16-1, Deutsche Forschungsgemeinschaft; Tracing the temple: Investigating the representation of perceptual relevance
Daniel S. Marcus, Ph.D., Washington University
2 R01 EB 009352, The XNAT Imaging Informatics Platform
Dr. Yaroslav O. Halchenko, Ph.D., Dartmouth College
National Science Foundation (NSF 1429999): DataGit: converging catalogues, warehouses, and deployment logistics into a federated ‘data distribution
Michael P. Milham, M.D. & Cameron Craddock, Ph.D., Nathan S. Kline Institute for Psychiatric Research
U01 MH099059, Longitudinal Discovery of Brain Developmental Trajectories
Michael I. Miller, Ph.D. & Susumu Mori, Ph.D., Johns Hopkins University
P41 EB015909 (PI: Van Ziji), Resource for Quantitative Functional MRI
Paul M. Thompson, Ph.D., University of Southern California
U54 EB020403, ENIGMA Center for Worldwide Medicine, Imaging, and Genomics
Anders Dale and Terry Jernigan, UCSD
U24 DA041147, ABCD-USA Consortium: Coordinating Center
Susan Y. Bookheimer, Ph.D., UCLA
P50 HD055784, Biomarkers Of Developmental Trajectories And Treatment In ASD
Jean A. Frazier, M.D. UMass Medical School
R01 M5H083320, A Knowledge Environment for Neuroimaging in Child Psychiatry
John Gabrieli, Ph.D., MIT
1R01 DC011339, Brain Bases of Language Deficits in SLI and ASD
Lei Wang, Ph.D., Northwestern University
U01 MH097435, SchizConnect: Large-Scale Schizophrenia Neuroimaging Data Mediation & Federation
Mark D’Esposito, Ph.D., UC Berkeley
R01 NS79698, Mechanisms of Neuroplasticity in Functional Brain Networks
Tal Yarkoni, Ph.D. University Texas Austin
R01 MH096906, Large-Scale Automated Synthesis Of Functional Neuroimaging Data
Thomas Nichols, Ph.D., University of Warwick
Wellcome Trust, 100309/Z/1 2/Z, Transforming Statistical Methodology for Neuroimaging Meta-Analysis
Vince Calhoun, Ph.D., MIND Research Network
R01 EB005846, Informed Data-Driven Fusion of Behavior, Brain Function, and Genes