Community

Participate in ReproNim

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.)

Collaborator Projects

FreeSurfer tool provenance and results markup

Bruce R. Rosen, M.D., Ph.D. & Bruce Fischl, Ph.D. MGH/HMS

2 P42 EB015896, Center for Functional Imaging Technologies

HCP as a Data Source, HCP processing pipeline, HCP results markup

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

CBrain execution environment, LORIS data source, Autism application area

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

3DSlicer tool provenance and results markup

Ron Kikinis, M.D., Brigham and Women’s Hosp.,

2 P41 EB015902, Neuorimaging Analysis Center (NAC)

Study Forest data source

Prof. Michael Hanke, Ph.D., Otto-von-Guericke University Magdeburg

DFG PO 548/16-1, Deutsche Forschungsgemeinschaft; Tracing the temple: Investigating the representation of perceptual relevance

XNAT data source, data host API

Daniel S. Marcus, Ph.D., Washington University

2 R01 EB 009352, The XNAT Imaging Informatics Platform

DataLad data source

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

C-PAC analysis pipeline, FCON1000, ABIDE and INDI data sources

Michael P. Milham, M.D. & Cameron Craddock, Ph.D., Nathan S. Kline Institute for Psychiatric Research

U01 MH099059, Longitudinal Discovery of Brain Developmental Trajectories

LDDMM processing tool, HCP access

Michael I. Miller, Ph.D. & Susumu Mori, Ph.D., Johns Hopkins University

P41 EB015909 (PI: Van Ziji), Resource for Quantitative Functional MRI

ENIGMA Data and processing pipeline and results sharing

Paul M. Thompson, Ph.D., University of Southern California

U54 EB020403, ENIGMA Center for Worldwide Medicine, Imaging, and Genomics

Data source, ABCD processing workflows, Informatics Initiative

Anders Dale and Terry Jernigan, UCSD

U24 DA041147, ABCD-USA Consortium: Coordinating Center

Service Projects

Biomarkers Of Developmental Trajectories And Treatment In ASD

Susan Y. Bookheimer, Ph.D., UCLA

P50 HD055784, Biomarkers Of Developmental Trajectories And Treatment In ASD

A Knowledge Environment for Neuroimaging in Child Psychiatry

Jean A. Frazier, M.D. UMass Medical School

R01 M5H083320, A Knowledge Environment for Neuroimaging in Child Psychiatry

Brain Bases of Language Deficits in SLI and ASD

John Gabrieli, Ph.D., MIT

1R01 DC011339, Brain Bases of Language Deficits in SLI and ASD

SchizConnect: Large-Scale Schizophrenia Neuroimaging Data Mediation & Federation

Lei Wang, Ph.D., Northwestern University

U01 MH097435, SchizConnect: Large-Scale Schizophrenia Neuroimaging Data Mediation & Federation

Mechanisms of Neuroplasticity in Functional Brain Networks

Mark D’Esposito, Ph.D., UC Berkeley

R01 NS79698, Mechanisms of Neuroplasticity in Functional Brain Networks

Large-Scale Automated Synthesis Of Functional Neuroimaging Data

Tal Yarkoni, Ph.D. University Texas Austin

R01 MH096906, Large-Scale Automated Synthesis Of Functional Neuroimaging Data

Transforming Statistical Methodology for Neuroimaging Meta-Analysis

Thomas Nichols, Ph.D., University of Warwick

Wellcome Trust, 100309/Z/1 2/Z, Transforming Statistical Methodology for Neuroimaging Meta-Analysis

Informed Data-Driven Fusion of Behavior, Brain Function, and Genes

Vince Calhoun, Ph.D., MIND Research Network

R01 EB005846, Informed Data-Driven Fusion of Behavior, Brain Function, and Genes