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Cited by 1,880

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Valid conjunction inference with the minimum statistic

Nichols, Thomas, Brett, Matthew, Andersson, Jesper, Wager, Tor, Poline, Jean-Baptiste·2005·NeuroImage
DOI 10.1016/j.neuroimage.2004.12.005
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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.

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Research works printed but not linked: 8

  1. Caplan, 2004, Cognitive conjunction and cognitive functions, NeuroImage, 21, 751, 10.1016/j.neuroimage.2003.09.061 · DOI
  2. Friston, 1999, Multisubject fMRI studies and conjunction analyses, NeuroImage, 10, 385, 10.1006/nimg.1999.0484 · DOI · Paper page
  3. Friston, 2005, Conjunction revisited, NeuroImage, 25, 661, 10.1016/j.neuroimage.2005.01.013 · DOI · Paper page
  4. Lazar, 2002, Combining brains: a survey methods for statistical pooling of information, NeuroImage, 538, 10.1006/nimg.2002.1107 · DOI
  5. Nichols, T.E., Wager, T.D. 2004. Conjunction inference using the Bayesian interpretation of the positive false directory rate. Presented at the 10th international conference on functional mapping of the human brain, June 14-17, 2004, Budpest Hungary. Available on CD-Rom in NeuroImage, 22
  6. Price, 1997, Cognitive conjunction: a new approach to brain activation experiments, NeuroImage, 5, 261, 10.1006/nimg.1997.0269 · DOI · Paper page
  7. Taylor, J.E., Worsley, K.J., 2003. Correlated conjunctions. Presented at the 9th International Conference on Functional Mapping of the Human Brain, June 18–22, 2003, New york. Available on CD Rom in NeuroImage, 19 (2).
  8. Worsley, 2000, A test for conjunction, Stat. Probab. Lett., 47, 135, 10.1016/S0167-7152(99)00149-2 · DOI

Cited by

Items 101–200 of 222

Metadata

Authors
Nichols, T., Brett, M., Andersson, J., Wager, T., & Poline, J.-B.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2005-04
Volume
25
Issue
3
Pages
653-660
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2004.12.005
OpenAlex
W2100879297
Cited by
1,880
References
1
FWCI
39.37
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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