Permutation testing made practical for functional magnetic resonance image analysis

IEEE Transactions on Medical Imaging
M Belmonte, D Yurgelun-Todd

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.

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Citations

Oct 13, 2001·NMR in Biomedicine
Apr 6, 2005·NeuroImage·Ola Friman, Carl-Fredrik Westin
Nov 8, 2002·Brain Research. Cognitive Brain Research·Babak A ArdekaniHenri Begleiter
Oct 17, 2003·Brain Research. Cognitive Brain Research·Matthew K Belmonte, Deborah A Yurgelun-Todd
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Oct 23, 2008·Source Code for Biology and Medicine·Anyela CamargoHuiru Zheng
Aug 25, 2011·Computer Methods and Programs in Biomedicine·Anders EklundHans Knutsson
Sep 4, 2010·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Fengrong SunPaul S Babyn
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Nov 3, 2011·International Journal of Biomedical Imaging·Anders EklundHans Knutsson
Oct 14, 2008·NeuroImage·Gerard R RidgwayNick C Fox
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Apr 22, 2017·Social Cognitive and Affective Neuroscience·Xiaoxue GaoXiaolin Zhou
Nov 6, 2003·Statistical Methods in Medical Research·Thomas Nichols, Satoru Hayasaka
Feb 20, 2021·Physics in Medicine and Biology·Lydia J WilsonAustin M Faught

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