JSM 2004 - Toronto

Abstract #301385

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Activity Number: 78
Type: Topic Contributed
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #301385
Title: Accommodating Spatial Correlations in Brain-imaging
Author(s): Richard F. Gunst*+ and Patrick S. Carmack and William R. Schucany and Jeff Spence and Wayne A. Woodward
Companies: Southern Methodist University and Southern Methodist University and Southern Methodist University and Southern Methodist University and Southern Methodist University
Address: Dept. of Statistical Science, Dallas, TX, 75275-0332,
Keywords: kriging ; spatial modeling ; SPECT ; fMRI
Abstract:

Brain-imaging produces hundreds of thousands of measurements throughout the brain for each subject in one or more test groups. Group comparisons are often based on the analysis of t- or F-statistics calculated from each of these many locations in each group of subjects. Since these statistics are highly correlated for neighboring locations in the brain, random field theory has been used to highlight areas of activation that differ among the groups. When interest is in specific regions of the brain, spatial statistical modeling can be an effective alternative. Classical spatial modeling methods can be combined with factor-effects models to provide more powerful group comparisons within these specified regions of interest. Experience gained from an analysis of SPECT images of Gulf War Syndrome subjects will be detailed.

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