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使用最小统计量的有效合取推理。

Valid conjunction inference with the minimum statistic.

作者信息

Nichols Thomas, Brett Matthew, Andersson Jesper, Wager Tor, Poline Jean-Baptiste

机构信息

Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.

出版信息

Neuroimage. 2005 Apr 15;25(3):653-60. doi: 10.1016/j.neuroimage.2004.12.005.

Abstract

In logic a conjunction is defined as an AND between truth statements. In neuroimaging, investigators may look for brain areas activated by task A AND by task B, or a conjunction of tasks (Price, C.J., Friston, K.J., 1997. Cognitive conjunction: a new approach to brain activation experiments. NeuroImage 5, 261-270). Friston et al. (Friston, K., Holmes, A., Price, C., Buchel, C., Worsley, K., 1999. Multisubject fMRI studies and conjunction analyses. NeuroImage 10, 85-396) introduced a minimum statistic test for conjunction. We refer to this method as the minimum statistic compared to the global null (MS/GN). The MS/GN is implemented in SPM2 and SPM99 software, and has been widely used as a test of conjunction. However, we assert that it does not have the correct null hypothesis for a test of logical AND, and further, this has led to confusion in the neuroimaging community. In this paper, we define a conjunction and explain the problem with the MS/GN test as a conjunction method. We present a survey of recent practice in neuroimaging which reveals that the MS/GN test is very often misinterpreted as evidence of a logical AND. We show that a correct test for a logical AND requires that all the comparisons in the conjunction are individually significant. This result holds even if the comparisons are not independent. We suggest that the revised test proposed here is the appropriate means for conjunction inference in neuroimaging.

摘要

在逻辑中,合取被定义为真值陈述之间的“与”关系。在神经影像学中,研究人员可能会寻找被任务A和任务B激活的脑区,或者任务的合取(普赖斯,C.J.,弗里斯顿,K.J.,1997年。认知合取:脑激活实验的一种新方法。《神经影像学》5,261 - 270)。弗里斯顿等人(弗里斯顿,K.,霍姆斯,A.,普赖斯,C.,布歇尔,C.,沃斯利,K.,1999年。多受试者功能磁共振成像研究与合取分析。《神经影像学》10,85 - 396)引入了一种用于合取的最小统计量检验。与全局零假设相比,我们将此方法称为最小统计量(MS/GN)。MS/GN在SPM2和SPM99软件中实现,并已被广泛用作合取检验。然而,我们断言它对于逻辑“与”检验没有正确的零假设,而且,这在神经影像学领域导致了混淆。在本文中,我们定义了合取,并解释了MS/GN检验作为一种合取方法存在的问题。我们对神经影像学的近期实践进行了调查,结果表明MS/GN检验经常被错误地解释为逻辑“与”的证据。我们表明,逻辑“与”的正确检验要求合取中的所有比较都各自显著。即使这些比较不独立,该结果仍然成立。我们建议这里提出的修订检验是神经影像学中合取推断的合适方法。

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