Nichols, Thomas E. (2010) Threshold-free cluster enhancement (TFCE) : improving power and stability of cluster size inference in brain imaging. In: Joint Statistical Meeting, Vancouver, Canada, Jul 31 - Aug 5, 2010 (Unpublished)

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Abstract

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

Item Type:	Conference Item (Lecture)
Subjects:	Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions:	Faculty of Science > Statistics Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Brain -- Imaging -- Statistical methods
Official Date:	August 2010
Dates:	Date Event August 2010 Published
Status:	Not Peer Reviewed
Publication Status:	Unpublished
Access rights to Published version:	Open Access
Conference Paper Type:	Lecture
Title of Event:	Joint Statistical Meeting
Type of Event:	Other
Location of Event:	Vancouver, Canada
Date(s) of Event:	Jul 31 - Aug 5, 2010

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