| Literature DB >> 28053326 |
Russell A Poldrack1, Chris I Baker2, Joke Durnez1,3, Krzysztof J Gorgolewski1, Paul M Matthews4, Marcus R Munafò5,6, Thomas E Nichols7, Jean-Baptiste Poline8, Edward Vul9, Tal Yarkoni10.
Abstract
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 that are 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 a lack of direct replication apply to many fields, but perhaps particularly to functional MRI. 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 and reliable answers to neuroscientific questions.Entities:
Mesh:
Year: 2017 PMID: 28053326 PMCID: PMC6910649 DOI: 10.1038/nrn.2016.167
Source DB: PubMed Journal: Nat Rev Neurosci ISSN: 1471-003X Impact factor: 34.870