1. Scanning the horizon: towards transparent and reproducible neuroimaging research
- Author
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Thomas E. Nichols, Krzysztof J. Gorgolewski, Chris I. Baker, Jean-Baptiste Poline, Tal Yarkoni, Marcus R. Munafò, Edward Vul, Russell A. Poldrack, Paul M. Matthews, Joke Durnez, Stanford University, National Institutes of Health [Bethesda] (NIH), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Hammersmith Hospital & Imperial College, University of Bristol [Bristol], Department of Statistics [Warwick], University of Warwick [Coventry], The Helen Wills Neuroscience Institute (HWNI), University of California [Berkeley], University of California-University of California, University of California [San Diego] (UC San Diego), University of California, University of Texas at Austin [Austin], European Project: 706561,H2020 Pilier Excellent Science,H2020-MSCA-IF-2015,Neuroimaging power(2016), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), and University of California (UC)
- Subjects
HUMAN BRAIN-FUNCTION ,Computer science ,FLEXIBILITY ,Statistics as Topic ,Brain and Behaviour ,Field (computer science) ,0302 clinical medicine ,WIDE ASSOCIATION ,Cognitive science ,medicine.diagnostic_test ,General Neuroscience ,Tobacco and Alcohol ,05 social sciences ,Flexibility (personality) ,Magnetic Resonance Imaging ,Identification (information) ,NEUROSCIENCE ,FMRI ,Practice Guidelines as Topic ,RELIABILITY ,Psychology ,Life Sciences & Biomedicine ,BEHAVIOR ,CORTEX ,Best practice ,050105 experimental psychology ,03 medical and health sciences ,Neuroimaging ,Functional neuroimaging ,medicine ,Humans ,0501 psychology and cognitive sciences ,Spurious relationship ,Science & Technology ,Neurology & Neurosurgery ,IDENTIFICATION ,Functional Neuroimaging ,[SCCO.NEUR]Cognitive science/Neuroscience ,Neurosciences ,Reproducibility of Results ,1702 Cognitive Science ,Replication (computing) ,REPRESENTATIONS ,Neurosciences & Neurology ,1109 Neurosciences ,Functional magnetic resonance imaging ,Software ,030217 neurology & neurosurgery - Abstract
International audience; 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.
- Published
- 2017
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