JSM 2005 Online Program

Abstract #303735

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Activity Number:	473
Type:	Topic Contributed
Date/Time:	Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Biometrics Section
Abstract - #303735
Title:	An Evaluation of Methods for Identifying Regions of Activation in fMRI Analysis
Author(s):	Maya Geliazkova*+ and Brent Logan
Companies:	University of Wisconsin, Milwaukee and Medical College of Wisconsin
Address:	1007 N Cass St 479, Milwaukee, WI, 53202, United States
Keywords:
Abstract:	Typically, in fMRI studies, the investigator is interested in identifying voxels or regions of voxels associated with or activated by a cognitive task. However, a further objective may be to investigate whether the size of the activation region (number of voxels identified as active) is changing within a subject under different conditions. Therefore, it is important to know how well various methods for detecting activation can accurately identify the region(s) of activation (ROA). We present a simulation study of different techniques for detecting activation using ROA's of different shapes and sizes and assess their performance in each case using several measures of accuracy. Methods considered include standard multiple comparison procedures, cluster inference, and independent or spatial mixture models. We also investigate the effect of smoothing on accurately identifying the ROA.

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