期刊
NATURE REVIEWS NEUROSCIENCE
卷 18, 期 2, 页码 115-126出版社
NATURE PORTFOLIO
DOI: 10.1038/nrn.2016.167
关键词
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资金
- Laura and John Arnold Foundation
- European Union's Horizon research and innovation programme under the Marie Sklodowska-Curie [706561]
- Medical Research Council (MRC) [MC UU 12013/6]
- UK Centre for Tobacco and Alcohol Studies, a UK Clinical Research Council Public Health Research Centre of Excellence
- British Heart Foundation
- Cancer Research UK
- Economic and Social Research Council
- MRC
- National Institute for Health Research, under UK Clinical Research Collaboration
- Intramural Research Program of the US National Institutes of Health (NIH)National Institute of Mental Health (NIMH) [ZIA-MH002909]
- NIMH [R01MH096906]
- Imperial College Healthcare Trust Biomedical Research Centre
- Imperial Engineering and Physical Sciences Research Council Mathematics in Healthcare Centre
- Wellcome Trust [100309/Z/12/Z]
- NIH-National Institute of Neurological Disorders and Stroke [R01NS075066]
- NIH-National Institute of Biomedical Imaging and Bioengineering (NIBIB) [R01EB015611]
- NIBIB [P41 EBO1 9936]
- NIH-National Institute on Drug Abuse [U24DA038653]
- Human Connectome Project, WU-Minn Consortium [1U54MH091657]
- McDonnell Center for Systems Neuroscience at Washington University
- MRC [MR/M024903/1, UKDRI-5003, MC_UU_12013/6, MC_PC_17114, MR/N026934/1, G9409634] Funding Source: UKRI
- Economic and Social Research Council [ES/G007489/1] Funding Source: researchfish
- Medical Research Council [G9409634, MR/M024903/1, MR/N026934/1, MC_PC_17114, MC_UU_12013/6, UKDRI-5003, MR/K023195/1] Funding Source: researchfish
- National Institute for Health Research [NF-SI-0514-10022] Funding Source: researchfish
- Wellcome Trust [100309/A/12/Z] Funding Source: researchfish
- Marie Curie Actions (MSCA) [706561] Funding Source: Marie Curie Actions (MSCA)
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.
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