We were discussing false positives in MRI phantom data and I brought up the idea of processing the salmon fMRI data to look for some ‘active’ voxels. […] Sure, there were some false positives. Just about any volume with 65,000 voxels is going to have some false positives with uncorrected statistics. Rather, it was where the false positives occurred that really floored me. A cluster of three significant voxels were arranged together right along the midline of the salmon’s brain. If they would have been anywhere else the salmon would have been just a curious anecdote, but now we had a story.Notice that he started out looking for false positives. Basically, he's pointing out that a random, obviously inactive object happened to produce a result that might, in a real experiment, have been considered significant according to some commonly used statistical tools, and he's using the amusingness of the situation (lol dead salmon!) to keep people thinking about the importance of using better statistics.
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The more I think about the affair the more I believe that the fish has the chance to impact the field of neuroimaging in a very positive way. Predefined significance thresholds with a specified cluster extent are a weak control to the problem of false positives in imaging data. […] In just one figure the salmon data illustrates exactly why we need stronger controls for the false positive problem in fMRI.
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posted by It's Raining Florence Henderson at 9:36 AM on September 24, 2009 [10 favorites]