Actually my understanding is that FDR p-values can be calculated at the cluster-level as well. There was a recent paper in Neuroimage describing that:
Chumbley JR, Friston KJ.
False discovery rate revisited: FDR and topological inference using Gaussian random fields.
Neuroimage. 2009 Jan 1;44(1):62-70. Epub 2008 May 23.
The paper is from the FIL, so perhaps the method described in the paper can be implemented in SPM.
From: SPM (Statistical Parametric Mapping) on behalf of MCLAREN, Donald
Sent: Wed 3/18/2009 9:30 PM
To: [log in to unmask]
Subject: [SPM] FDR combined with cluster extent
My understanding of FDR is that it corrects data at the voxel-level. Is it
possible to relax the voxel-wise FDR-rate (e.g. to .1 or .2) and set a
minimum cluster size such that the cluster inference is p<.05? If so, how is
the p-value of the cluster computed?
Best Regards, Donald McLaren
University of Wisconsin - Madison
Neuroscience Training Program
Office: (608) 265-9672
Lab: (608) 256-1901 ext 12914
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