Valid Conjunction Inference with the Minimum Statistic
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Important! Please see below for information on bug fix to the SPM2
Conjunction modifications
Conjunction inference in SPM2 and SPM99 is based on the minimum
statistic. The inference is based on the global null
hypothesis that all effects conjoined are null. Thus a
significant result only implies one or more of the effects are
non-null.
To assert that all effects are non-zero, the null hypothesis that
one or more of the effects are null must be tested. In the
paper below we find the appropriate inference for
this conjunction null based on the minimum statistic. It
happens that the appropriate inference comes from simply comparing the
minimum statistic to the usual (single image) thresholds, corrected or
uncorrected; further, no assumption about independence is required, so
effects like (A-C) and (B-C) can now be conjoined.
Put another way, valid conjunction inference can be performed by
creating thresholded statistic images and then creating an
intersection mask. Also equivalently, at any given voxel, the maximum
P-value over a set of images to conjoin is exactly the conjunction
P-value (corrected or uncorrected).
Below is an complete article, as submitted to NeuroImage (a slightly
revised version is currently In Press, NeuroImage) and software
modifications for SPM. Please
contact me with any
questions.
Valid Conjunction Inference with the Minimum Statistic.
Thomas Nichols, Matthew Brett, Jesper Andersson,
Tor Wager & Jean-Baptiste Poline.
NeuroImage, Volume 25, Issue 3, 15 April 2005, Pages 653-660
doi:10.1016/j.neuroimage.2004.12.005
Preprint
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 and Friston, 1997).
Friston et al. 1999 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.
When is a conjunction not a conjunction?
Matthew Brett, Thomas Nichols, Jesper Andersson,
Tor Wager & Jean-Baptiste Poline.
Poster WE 137: Abstract | Poster
To address the issues raised above, install the modifications
below. These modifications produce a new question when performing a
conjunction: Null hyp. to assess? Select 'Conjunction' to
use the proposed fix, so that P-values are valid for rejecting the
conjunction null hypothesis; or select 'Global' to use the old method,
where P-values are valid for rejecting the global null of all effects
being absent. (Thanks to Darren Gitelman & Su Watkins for
reporting this problem and helping me debug it.)
The compressed tar file below contains the seven (7) m-files needed to
implement these changes within SPM. The files will expand into a separate
spm2_conj (or spm99_conj) directory. Include this
directory before your spm2 directory, e.g.
addpath '/my/path/spm2_conj'
SPM2 Modifications
Download: spm2_conj.tgz (21KB)
Files:
Important Bug
Fix!
On October 16, 2004, an important bug in the
Conjunction modifications for SPM2 was found and fixed. The problem
was only present for 'Global Null' tests, and resulted in FDR P-values
being wrong (and greater than 1!).
On November 9, 2004, an another bug in the
Conjunction modifications for SPM2 was found and fixed. Again, the problem
was only present for 'Global Null' tests, but only had the impact of
producing thresholds that were too high.
If you had previously downloaded
the conjunction modifications, please grab the whole
tar file again, or just the affected files
(spm_getSPM.m for the Oct 16 fix,
spm_uc_FDR.m for the Nov 9 fix.)
SPM99 Modifications
Imortant Note: These modifications require that you
have installed the SPM99 FDR
modifications. Put the spm99_conj directory ahead of your spm_fdr
directory in your matlab path.
Download: spm99_conj.tgz (21KB)
Files:
A related poster on conjunction is also available. While both SPM's
method and the revised conjunction method use the minimum statistic
(though find different P-values), there may be other possible
statistics useful for conjunction inference. In this related work, we
show how a modified FDR method, the Positive False Discovery Rate
(pFDR), can be used to construct an alternative conjunction statistic.
Conjunction Inference Using the Bayesian Interpretation of the
Positive False Discovery Rate
Thomas Nichols & Tor Wager.
Poster WE 260: Abstract | Poster
For this 'Sum pFDR' method, there is currently no software or
manuscript available.
Last modified: Mon May 21 17:38:15 EDT 2007
Tom Nichols  
nichols@umich.edu
UM Biostatistics