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  • Title: Parametric response surface models for analysis of multi-site fMRI data.
    Author: Kim S, Smyth P, Stern H, Turner J.
    Journal: Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):352-9. PubMed ID: 16685865.
    Abstract:
    Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). These approaches do not explicitly take into account spatial patterns in the activation signal. In this paper, we develop a response surface model with parameters that directly describe the spatial shapes of activation patterns. We present a stochastic search algorithm for parameter estimation. We apply our method to data from a multi-site fMRI study, and show how the estimated parameters can be used to analyze different sources of variability in image generation, both qualitatively and quantitatively, based on spatial activation patterns.
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