Abstract #301995

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JSM 2003 Abstract #301995
Activity Number: 253
Type: Topic Contributed
Date/Time: Tuesday, August 5, 2003 : 12:00 PM to 1:50 PM
Sponsor: ENAR
Abstract - #301995
Title: Correlations and PET Scans: Challenges in Understanding Relationships between Regions of the Brain
Author(s): Danielle J. Harvey*+ and Charles DeCarli and Bruce Reed
Companies: University of California, Davis and University of California and University of California
Address: 4735 Cowell Blvd., Davis, CA, 95616-4461,
Keywords: PET scans ; correlations ; statistical parametric mappings (SPM) ; region of interest (ROI)
Abstract:

Positron emission tomography scans provide information on the metabolic activity of the brain and are pertinent to studies of vascular dementia, where the disease process is thought to disrupt communication between regions of the brain. A measure of activity is obtained at each voxel of the image, yielding thousands of observations per scan. Therefore, we are faced with many more variables than subjects when analyzing PET scans. In addition, there is a dependent structure to the data, since voxels that are close together in the image are likely to be highly correlated. Two widely used approaches in analyzing PET images rely on either voxel-based methods through statistical parametric mappings (SPMs) or region of interest (ROI) methods in which the information in each region is summarized and then used for inference. We propose a combination of the two methods to estimate the correlation between two regions of the brain, a possible measure of brain "connectivity." We will investigate the properties of the most commonly used methods and our proposed combination and illustrate the ideas with data from a dementia study.

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