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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