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Heterogenous brain activations across individuals localize to a common network
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Towards reproducible neuroimaging: Solutions for sharing and re-using brain imaging data
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The past, present, and future of the brain imaging data structure (BIDS)
Abstract The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a …
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff, Yoni K. Ashar, Tibor Auer, Sylvain Baillet, Shashank Bansal, Leandro Beltrachini, Christian G. Benar, Giacomo Bertazzoli, Suyash Bhogawar, Ross W. Blair, Marta Bortoletto, Mathieu Boudreau, Teon L. Brooks, Vince D. Calhoun, Filippo Maria Castelli, Patricia Clement, Alexander L. Cohen, Julien Cohen-Adad, Sasha D’Ambrosio, Gilles De Hollander, María De La Iglesia-Vayá, Alejandro De La Vega, Arnaud Delorme, Orrin Devinsky, Dejan Draschkow, Eugene Paul Duff, Elizabeth DuPre, Eric Earl, Oscar Esteban, Franklin W. Feingold, Guillaume Flandin, Anthony Galassi, Giuseppe Gallitto, Melanie Ganz, Rémi Gau, James Gholam, Satrajit S. Ghosh, Alessio Giacomel, Ashley G. Gillman, Padraig Gleeson, Alexandre Gramfort, Samuel Guay, Giacomo Guidali, Yaroslav O. Halchenko, Daniel A. Handwerker, Nell Hardcastle, Peer Herholz, Dora Hermes, Christopher J. Honey, Robert B. Innis, Horea-Ioan Ioanas, Andrew Jahn, Agah Karakuzu, David B. Keator, Gregory Kiar, Balint Kincses, Angela R. Laird, Jonathan C. Lau, Alberto Lazari, Jon Haitz Legarreta, Adam Li, Xiangrui Li, Bradley C. Love, Hanzhang Lu, Eleonora Marcantoni, Camille Maumet, Giacomo Mazzamuto, Steven L. Meisler, Mark Mikkelsen, Henk Mutsaerts, Thomas E. Nichols, Aki Nikolaidis, Gustav Nilsonne, Guiomar Niso, Martin Norgaard, Thomas W. Okell, Robert Oostenveld, Eduard Ort, Patrick J. Park, Mateusz Pawlik, Cyril R. Pernet, Franco Pestilli, Jan Petr, Christophe Phillips, Jean-Baptiste Poline, Luca Pollonini, Pradeep Reddy Raamana, Petra Ritter, Gaia Rizzo, Kay A. Robbins, Alexander P. Rockhill, Christine Rogers, Ariel Rokem, Chris Rorden, Alexandre Routier, Jose Manuel Saborit-Torres, Taylor Salo, Michael Schirner, Robert E. Smith, Tamas Spisak, Julia Sprenger, Nicole C. Swann, Martin Szinte, Sylvain Takerkart, Bertrand Thirion, Adam G. Thomas, Sajjad Torabian, Gael Varoquaux, Bradley Voytek, Julius Welzel, Martin Wilson, Tal Yarkoni, Krzysztof J. Gorgolewski
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A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps
Abstract Neuroimaging research faces a crisis of reproducibility. With massive sample sizes and greater data complexity, this problem …
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Illusory generalizability of clinical prediction models
It is widely hoped that statistical models can improve decision-making related to medical treatments. Because of the cost and scarcity …
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The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR
Neuroscience has made significant strides over the past decade in moving from a largely closed science characterized by anemic data …
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Reproducibility in Neuroimaging Analysis: Challenges and Solutions
Recent years have marked a renaissance in efforts to increase research reproducibility in psychology, neuroscience, and related fields. …
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FAIRly big: A framework for computationally reproducible processing of large-scale data
Abstract Large-scale datasets present unique opportunities to perform scientific investigations with unprecedented breadth. However, …
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