Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3BG, United Kingdom.
Hum Brain Mapp. 2019 May;40(7):2052-2054. doi: 10.1002/hbm.23839. Epub 2017 Nov 1.
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. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
本技术报告重新分析了统计参数映射中基于随机域理论的组间错误率，相关内容曾发表在（Eklund 等人，[]: arXiv 1511.01863）。与人们对这类分析的普遍看法（即这些分析具有一定误导性）不同，对其结果的回顾表明，它们支持在功能神经影像学数据的分析中使用参数假设和随机域理论。我们简要回顾了参数分析相对于非参数分析的优势，然后详细阐述了（Eklund 等人，[]: arXiv 1511.01863）对参数方法的意义。人类大脑映射，40:2052-2054, 2019。© 2017 作者 人类大脑映射 由 Wiley Periodicals, Inc. 出版
