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Scanning the Horizon: Towards transparent and reproducible neuroimaging research

By Russell Poldrack, Chris I Baker, Joke Durnez, Krzysztof Jacek Gorgolewski, P. M. Matthews, Marcus R Munafo, Thomas Nichols, Jean-Baptiste Poline, Edward Vul, Tal Yarkoni

Posted 16 Jun 2016
bioRxiv DOI: 10.1101/059188 (published DOI: 10.1038/nrn.2016.167)

Functional neuroimaging techniques have transformed our ability to probe the neurobiological basis of behaviour and are increasingly being applied by the wider neuroscience community. However, concerns have recently been raised that the conclusions drawn from some human neuroimaging studies are either spurious or not generalizable. Problems such as low statistical power, flexibility in data analysis, software errors, and lack of direct replication apply to many fields, but perhaps particularly to fMRI. Here we discuss these problems, outline current and suggested best practices, and describe how we think the field should evolve to produce the most meaningful answers to neuroscientific questions.

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