This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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462
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract - #306510 |
Title:
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Threshold-Free Cluster Enhancement (TFCE): Improving Power and Stability of Cluster Size Inference in Brain Imaging
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Author(s):
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Thomas E. Nichols*+
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Companies:
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University of Warwick
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Address:
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, Coventry, International, CV4 7AL, United Kingdom
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Keywords:
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Permutation ;
Cluster size inference ;
fMRI
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Abstract:
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Cluster size inference, or tests based on the spatial extent of brain imaging signals, is a widely used approach in Functional Magnetic Resonance Imaging (fMRI). Clusters are formed by first applying a cluster-forming threshold, and then the significance is assessed based on the volume of the cluster. While this has been shown to be more powerful than 'voxel-wise' inference (inference based on statistic image magnitude at each volume element) it depends critically on the cluster-forming threshold, u. Small changes to u can split or join clusters and change the significance in unexpected way. We have created a new method that merges clustering information over all possible u's, using permutation resampling methods to obtain valid P-values. While elminating one nuisance parameter (u), our method introduces two new ones. I will show how we used (parametric) random field theory to find
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Authors who are presenting talks have a * after their name.
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