Analysis of family-wise error rates in statistical parametric mapping using random field theory

作者：Flandin, Guillaume^*; Friston, Karl J.

来源：Human Brain Mapping, 2019, 40(7): 2052-2054.

DOI：10.1002/hbm.23839

• family-wise error rate
• statistical parametric mapping
• topological inference
• random field theory

This technical report revisits the analysis of family-wise error rates in statistical parametric mapping-using random field theory-reported in (Eklund et al. []: arXiv 1511.01863). Contrary to the understandable spin that these sorts of analyses attract, a review of their results suggests that they endorse the use of parametric assumptions-and random field theory-in the analysis of functional neuroimaging data. We briefly rehearse the advantages parametric analyses offer over nonparametric alternatives and then unpack the implications of (Eklund et al. []: arXiv 1511.01863) for parametric procedures. Hum Brain Mapp, 40:2052-2054, 2019.

• 出版日期2019-5