Neuroimaging Toolkit

If details on methods and key details are not available to other researchers, this can be a barrier to them reproducing experiments, building on them, or considering how reliable the results are likely to be. Concerns have been raised that the conclusions drawn from some human neuroimaging studies are either spurious or not generalisable, and that low statistical power, flexibility in data analysis, and software errors can impact the credibility of these studies [1]. 

This toolkit aims to give neuroscientists conducting neuroimaging research some of the key ways to strengthen credibility of their work that they should aim to do, and which are simple to implement, at the stages you plan your research, carry the study out, and after you’ve analysed your data.