The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods

@article{Grgen2017TheSA,
  title={The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods},
  author={Kai G{\"o}rgen and Martin N. Hebart and Carsten Allefeld and John-Dylan Haynes},
  journal={NeuroImage},
  year={2017},
  volume={180},
  pages={19-30}
}
  • Kai Görgen, Martin N. Hebart, +1 author John-Dylan Haynes
  • Published in NeuroImage 2017
  • Medicine, Computer Science, Biology, Mathematics
  • ABSTRACT Standard neuroimaging data analysis based on traditional principles of experimental design, modelling, and statistical inference is increasingly complemented by novel analysis methods, driven e.g. by machine learning methods. While these novel approaches provide new insights into neuroimaging data, they often have unexpected properties, generating a growing literature on possible pitfalls. We propose to meet this challenge by adopting a habit of systematic testing of experimental… CONTINUE READING

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