| Literature DB >> 28230846 |
Thomas E Nichols1, Samir Das2,3, Simon B Eickhoff4,5, Alan C Evans2,3, Tristan Glatard2,6, Michael Hanke7,8, Nikolaus Kriegeskorte9, Michael P Milham10,11, Russell A Poldrack12, Jean-Baptiste Poline13, Erika Proal14, Bertrand Thirion15, David C Van Essen16, Tonya White17, B T Thomas Yeo18.
Abstract
Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.Entities:
Mesh:
Year: 2017 PMID: 28230846 PMCID: PMC5685169 DOI: 10.1038/nn.4500
Source DB: PubMed Journal: Nat Neurosci ISSN: 1097-6256 Impact factor: 24.884