JSM 2004 - Toronto

Abstract #301777

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Activity Number: 381
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #301777
Title: A Variance Components Analysis of a Multisite fMRI Study
Author(s): Hal Stern*+ and David A. van Dyk and Padhraic Smyth and Se-Young Kim and First Birn
Companies: University of California, Irvine and University of California, Irvine and University of California, Irvine and University of California, Irvine and Bioinformatics Resource Network
Address: Dept. of Statistics, Irvine, CA, 92697-1250,
Keywords: reproducibility ; region of interest
Abstract:

A developing approach to neuroscience research attempts to combine and collate imaging data from a number of sites. This requires methods for standardizing data collection and calibrating the resulting images to account for site-to-site differences including differences in scanner models. As a first step five healthy subjects visited 11 sites and were scanned using the same protocol. Each subject made two visits to each site; each visit comprised a series of 10 functional imaging runs. This preliminary analysis estimates the contribution to observed variance from run-to-run variability within a visit, visit-to-visit variability within a site, and variation across sites and subjects. Analyses are carried out on brain regions of varying size down to the level of a single voxel.

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