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Scanning the horizon: towards transparent and reproducible neuroimaging research.
Poldrack, Russell A; Baker, Chris I; Durnez, Joke; Gorgolewski, Krzysztof J; Matthews, Paul M; Munafò, Marcus R; Nichols, Thomas E; Poline, Jean-Baptiste; Vul, Edward; Yarkoni, Tal.
Affiliation
  • Poldrack RA; Department of Psychology and Stanford Center for Reproducible Neuroscience, Stanford University, Stanford, California 94305, USA.
  • Baker CI; Laboratory of Brain and Cognition, National Institute of Mental Health, US National Institutes of Health, Maryland 20892, USA.
  • Durnez J; Department of Psychology and Stanford Center for Reproducible Neuroscience, Stanford University, Stanford, California 94305, USA.
  • Gorgolewski KJ; Institut National de Recherche en Informatique et en Automatique (INRIA) Parietal, Neurospin, Building 145, CEA Saclay, 91191 Gif sur Yvette, France.
  • Matthews PM; Department of Psychology and Stanford Center for Reproducible Neuroscience, Stanford University, Stanford, California 94305, USA.
  • Munafò MR; Division of Brain Sciences, Department of Medicine, Imperial College Hammersmith Hospital, London W12 0NN, UK.
  • Nichols TE; Medical Research Council (MRC) Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 1BN, UK.
  • Poline JB; UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol BS8 1TU, UK.
  • Vul E; Department of Statistics and WMG, University of Warwick, Coventry CV4 7AL, UK.
  • Yarkoni T; Helen Wills Neuroscience Institute, Henry H. Wheeler Jr. Brain Imaging Center, University of California, 132 Barker Hall 210S, Berkeley, California 94720-3192, USA.
Nat Rev Neurosci ; 18(2): 115-126, 2017 02.
Article in En | MEDLINE | ID: mdl-28053326
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Functional Neuroimaging Type of study: Guideline Limits: Humans Language: En Journal: Nat Rev Neurosci Journal subject: NEUROLOGIA Year: 2017 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Functional Neuroimaging Type of study: Guideline Limits: Humans Language: En Journal: Nat Rev Neurosci Journal subject: NEUROLOGIA Year: 2017 Type: Article Affiliation country: United States