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- W2571093196 abstract "Neuroimaging techniques are increasingly applied by the wider neuroscience community. However, problems such as low statistical power, flexibility in data analysis and software issues pose challenges to interpreting neuroimaging data in a meaningful and reliable way. Here, Poldracket al. discuss these and other problems, and suggest solutions. 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." @default.
- W2571093196 created "2017-01-13" @default.
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- W2571093196 date "2017-01-05" @default.
- W2571093196 modified "2023-10-11" @default.
- W2571093196 title "Scanning the horizon: towards transparent and reproducible neuroimaging research" @default.
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- W2571093196 doi "https://doi.org/10.1038/nrn.2016.167" @default.
- W2571093196 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6910649" @default.
- W2571093196 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28053326" @default.
- W2571093196 hasPublicationYear "2017" @default.
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