Michael J Joseph1, Derek Pisner2, Adam Richie-Halford3, Garikoitz Lerma-Usabiaga4, Salim Mansour1, James D Kent5, Anisha Keshavan3, Matthew Cieslak6, Erin W Dickie1, Sebastian Tourbier7, Aristotle N Voineskos1, Theodore D Satterthwaite6, Russell A Poldrack8, Jelle Veraart9, Ariel Rokem10, and Oscar Esteban7
1The Centre for Addiction and Mental Health, Toronto, ON, Canada, 2Department of Psychology, University of Texas at Austin, Austin, TX, United States, 3eScience Institute, The University of Washington, Seattle, WA, United States, 4Basque Center on Cognition, Brain and Language, Donostia - San Sebastian, Spain, 5Neuroscience Program, University of Iowa, Iowa City, IA, United States, 6Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 7Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 8Department of Psychology, Stanford University, Stanford, CA, United States, 9NYU Grossman School of Medicine, New York City, NY, United States, 10Department of Psychology, The University of Washington, Seattle, WA, United States
1The Centre for Addiction and Mental Health, Toronto, ON, Canada, 2Department of Psychology, University of Texas at Austin, Austin, TX, United States, 3eScience Institute, The University of Washington, Seattle, WA, United States, 4Basque Center on Cognition, Brain and Language, Donostia - San Sebastian, Spain, 5Neuroscience Program, University of Iowa, Iowa City, IA, United States, 6Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 7Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 8Department of Psychology, Stanford University, Stanford, CA, United States, 9NYU Grossman School of Medicine, New York City, NY, United States, 10Department of Psychology, The University of Washington, Seattle, WA, United States
We present dMRIPrep, a preprocessing pipeline for dMRI that reliably and consistently performs on diverse data acquired in different studies. Inspired by fMRIPrep and its wide uptake, it leverages and expands the NiPreps community framework.
A reliable pipeline for the preprocessing of dMRI.
dMRIPrep produces visual reports that allow quality-control of the results while serving as a scaffold for understanding the pipeline.