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Best Practices in Data Analysis and Sharing in neuroimaging using MRI Thomas E. Nichols 1, *, Samir Das 2 , Simon B. Eickhoff 3 , Alan C. Evans 2 , Tristan Glatard 2 , Michael Hanke 4 , Nikolaus Kriegeskorte 5 , Michael P. Milham 6 , Russell A. Poldrack 7 , Jean Baptiste Poline 8 , Erika Proal 9 , Bertrand Thirion 10 , David C. Van Essen 11 , Tonya White 12 , Thomas Yeo 13 1 University of Warwick 2 McGillUniversity 3 Heinrich-Heine UniversityD sseldorf 4 Otto-von-Guericke-University Magdeburg 5 MRC Cognition and Brain SciencesUnit 6 Child Mind Institute 7 Stanford University 8 University of California, Berkeley 9 Instituto Nacional de Psiquiatr a Ram n de la Fuente Mu iz &Neuroingenia 10 Inria, Paris-SaclayUniversity 11 Washington University in 12 Erasmus University Medical Center 13 National University of Singapore. *Correspondence: Abstract neuroimaging enables rich noninvasive measurements of human brain activity, but translating such data into neuroscientific insights and clinical applications requires complex analyses and collaboration among a diverse array of researchers.
Best Practices in Data Analysis and Sharing in Neuroimaging using MRI Thomas E. Nichols 1, *, Samir Das 2 , Simon B. Eickhoff 3 , Alan C. Evans 2 , Tristan G latard 2 , Michael Hanke 4 , Nikolaus Kriegeskorte 5 , Michael P. M ilham 6 , Russell A. Poldrack 7 , JeanBaptiste Poline 8 , Erika Proal 9 , Bertrand T hirion 10 , David C. Van Essen 11 …
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