Random field theory-based p-values: a review of the SPM implementation

@article{Ostwald2018RandomFT,
  title={Random field theory-based p-values: a review of the SPM implementation},
  author={Dirk Ostwald and Sebastian C. Schneider and Rasmus Bruckner and Lilla Horvath},
  journal={arXiv: Quantitative Methods},
  year={2018}
}
P-values and null-hypothesis significance testing are popular data-analytical tools in functional neuroimaging. Sparked by the analysis of resting-state fMRI data, there has recently been a resurgence of interest in the validity of some of the p-values evaluated with the widely used software SPM. The default parametric p-values reported in SPM are based on the application of results from random field theory to statistical parametric maps, a framework we refer to as RFP. While RFP was… 
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