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Permutation Testing Made Practical for Functional Magnetic Resonance Image Analysis

Matthew Belmonte and Deborah Yurgelun-Todd

IEEE Transactions on Medical Imaging 20(3):243-248 (March 2001).

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Abstract

We describe an efficient algorithm for the step-down permutation test, applied to the analysis of functional magnetic resonance images. The algorithm's time bound is nearly linear, making it feasible as an interactive tool. Results of the permutation test algorithm applied to data from a cognitive activation paradigm are compared with those of a standard parametric test corrected for multiple comparisons. The permutation test identifies more weakly activated voxels than the parametric test, always activates a superset of the voxels activated by this parametric method, almost always yields significance levels greater than or equal to those produced by the parametric method, and tends to enlarge activated clusters rather than adding isolated voxels. Our implementation of the permutation test is freely available as part of a widely distributed software package for analysis of functional brain images.


Index Terms-- fMRI; resampling; permutation test; software


 

This work was supported by grants from the National Alliance for Autism Research (NAAR) and from the National Alliance for Research on Schizophrenia and Depression (NARSAD). This work was supported by a Boston University Graduate Student Research Fellowship (GSRF). Computational facilities were provided by the MIT Student Information Processing Board.
M. Belmonte is with the Cognitive Neuroimaging Laboratory of McLean Hospital Brain Imaging Center and the Boston University Program in Behavioral Neuroscience. D. Yurgelun-Todd is with the Cognitive Neuroimaging Laboaratory of McLean Hospital Brain Imaging Center and Harvard Medical School. E-mail: belmonte@mit.edu.

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CITED IN PUBLICATIONS BY OTHERS:

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CITED IN MY OTHER PUBLICATIONS:

  1. Belmonte MK, Yurgelun-Todd DA. Anatomic dissociation of selective and suppressive processes in visual attention. NeuroImage 19(1):180-189 (May 2003).
  2. Belmonte MK, Yurgelun-Todd DA. Functional anatomy of impaired selective attention and compensatory processing in autism. Cognitive Brain Research 17(3):651-664 (October 2003).